Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence
Abstract
Do oil prices and stock markets move in tandem or in opposite directions? The complex and time varying relationship between oil prices and stock markets has caught the attention of the financial press, investors, policymakers, researchers, and the general public in recent years. In light of such attention, this paper reviews research on the oil price and stock market relationship. The majority of papers we survey study the impacts of oil markets on stock markets, whereas, little research in the reverse direction exists. Our review finds that the causal effects between oil and stock markets depend heavily on whether research is performed using aggregate stock market indices, sectorial indices, or firm-level data and whether stock markets operate in net oil-importing or net oil-exporting countries. Additionally, conclusions vary depending on whether studies use symmetric or asymmetric changes in the price of oil, or whether they focus on unexpected changes in oil prices. Finally, efind that most studies show oil price volatility transmits to stock market volatility, and that including measures of stock market performance improves forecasts of oil prices and oil price volatility. Several important avenues for further research are identified.
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TL;DR
This paper reviews theoretical channels and empirical evidence on the relationship between oil prices and stock markets. It concludes that the relationship is complex and time-varying, depending on data level, country type, shock type, and asymmetry, while oil price volatility generally transmits to stock market volatility and stock market information can improve oil price and volatility forecasts.
Key findings
- The causal effects between oil and stock markets depend heavily on whether research uses aggregate stock market indices, sectoral indices, or firm-level data, and on whether markets are in net oil-importing or net oil-exporting countries. For example, the review cites Nandha and Faff (2008) analyzing 35 Datastream global industry indices, Scholtens and Yurtsever (2012) considering 38 industrial sectors from 15 European countries, and Arouri and Nguyen (2010) using 12 pan-European industrial sectors.
- Higher oil prices generally lead to lower stock market returns for oil-importing economies, while oil-exporting economies tend to respond positively. At sector level, oil-related and oil-substitute sectors are positively affected, whereas oil-user and non-oil-related or financial sectors are negatively affected.
- Oil price shocks produce heterogeneous responses: stock markets generally do not respond to supply-side shocks, respond positively to aggregate demand shocks, and respond negatively to precautionary demand shocks, though later studies such as Basher et al. (2012) find emerging markets respond positively to precautionary demand shocks. The review also notes time-varying evidence, including Kang et al. (2015b) finding aggregate demand shocks had a positive effect and precautionary demand shocks a negative effect over 1973–2012, with effects diminishing later.
- Most studies show oil price volatility transmits to stock market volatility, while the reverse holds only in the case of the US market. Including measures of stock market performance improves forecasts of oil prices and oil price volatility, although the forecasting literature is small: only three studies examine stock market information for oil price forecasting and only three for oil price volatility forecasting.
Methods
- Design: narrative literature review and synthesis, not a primary empirical study; the paper states it maps and synthesizes the literature and draws insights that might not emerge from individual papers.
- Data/sample: reviewed studies covering aggregate stock market indices, sectoral indices, and firm-level data; oil-importing and oil-exporting countries; symmetric and asymmetric oil price changes; oil price shocks; volatility linkages; and forecasting of oil prices and oil price volatility.
- Main analysis: organizes evidence by theoretical transmission channels—stock valuation, monetary, output, fiscal, and uncertainty—and by empirical themes, summarizing common econometric methods such as VAR, GARCH, Kilian’s SVAR, DCC/BEKK, MIDAS, HAR, and time-varying parameter VAR.
Limitations
- The paper states that most surveyed research studies impacts of oil markets on stock markets, whereas little research exists in the reverse direction; theoretical transmission channels by which stock markets affect oil prices should be developed.
- It states that only a small number of studies evaluate the information content of stock markets for forecasting oil prices and oil price volatility, and that no studies focus on firm-level data when considering volatility interconnectedness between the two markets.
- Evident from the text: as a narrative review, no systematic search protocol, inclusion criteria, or meta-analysis is described, and conclusions depend on heterogeneous specifications, samples, and data frequencies across the surveyed studies.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
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- Findingnone given§ Abstract · p. 1
Conclusions on the oil-stock relationship vary depending on whether studies use symmetric or asymmetric changes in oil price, or focus on unexpected changes in oil prices.
“Additionally, conclusions vary depending on whether studies use symmetric or asymmetric changes in the price of oil, or whether they focus on unexpected changes in oil prices.”
Quote in the paperSubstantial claim - Findingnone given§ Abstract · p. 1
Most studies show oil price volatility transmits to stock market volatility.
“Finally, we find that most studies show oil price volatility transmits to stock market volatility”
Quote in the paperSubstantial claim - Findingnone given§ Abstract · p. 1
Including measures of stock market performance improves forecasts of oil prices and oil price volatility.
“including measures of stock market performance improves forecasts of oil prices and oil price volatility.”
Quote in the paperSubstantial claim - Findingcitation§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 9
The picture from the reviewed studies suggests that positive oil price changes lead to negative stock market returns.
“The picture painted from the aforementioned studies suggests that positive oil price changes lead to negative stock market returns.”
Quote in the paperSubstantial claim - Findingcitation§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 11
Firm-level stock returns respond heterogeneously to oil price changes depending on the sector and size of the firm.
“Their findings lend support to the previously reported evidence, i.e. that firms' response to oil price changes is heterogeneous and depends on the sector and the size of the firm.”
Quote in the paperSubstantial claim
- Findingcitation§ 3.1.2. Symmetric and asymmetric effects · p. 13
There are studies which do not offer support to the aforementioned findings, concluding that there are no asymmetric effects of oil prices on stock returns.
“Nevertheless, there are studies which do not offer support to the aforementioned findings, concluding that there are no asymmetric effects of oil prices on stock returns (see, for instance, Bachmeier, 2008; Nandha and Faff, 2008).”
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- cites Nandha and Faff, 2008
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- Findingcitation§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 10
The empirical literature provides evidence that there are heterogeneous responses to oil price changes by different industrial sectors.
“The evidence provided by the empirical literature is that there are indeed heterogeneous responses to oil price changes by different industrial sectors”
Quote in the paperSubstantial claim - Findingcitation§ 3.1.2. Symmetric and asymmetric effects · p. 12
The majority of studies on asymmetric effects of oil prices focus on macroeconomic variables rather than financial variables.
“The majority of the studies that concentrate on the asymmetric effects of oil prices focus on macroeconomic variables rather than financial variables”
Quote in the paperNot a substantial claim - Findingnone given§ 3.2. Econometric methods and data used · p. 16
There are no heterogeneous results depending on the use of real or nominal oil and stock market data, including for studies examining asymmetric effects or effects for oil-exporting and oil-importing economies.
“In any case we do not find heterogeneous results depending on the use of real or nominal data. This also applies for studies which examine either the asymmetric effects of oil prices or the effects of oil prices for oil-exporting and oil-importing economies.”
Quote in the paperNot a substantial claim - Findingcitation§ 3.2. Econometric methods and data used · p. 15
The second most common model employed for identification of oil price effects on stock market performance is a GARCH (1,1).
“The second most common model that is employed for the identification of oil price effects on stock market performance is a GARCH (1,1); see, inter alia , Broadstock et al ., (2014), Elyasiani et al . (2011) and Arouri and Nguyen (2010).”
Quote in the paperNot a substantial claim - Findingcitation§ 3.2. Econometric methods and data used · p. 15
Authors who concentrate on aggregate and sectoral stock market indices primarily use monthly data and VAR models, where apart from oil price changes and stock returns, they also consider other macroeconomic variables.
“More specifically, authors who concentrate on aggregate and sectoral stock market indices are primarily using monthly data and Vector Autoregressive (VAR) models, where apart from the oil price changes and stock returns, they also consider other macroeconomic variables, such as industrial production, interest rates, unemployment, etc.”
Quote in the paperNot a substantial claim - Premisecitation§ 2.1 Stock valuation channel · p. 3
For an oil-consuming firm, an increase in oil prices increases production costs.
“For an oil-consuming firm, oil is one of the major production factors and consequently an increase in oil prices will result in an increase of production costs (assuming that there are no perfect substitution effects between production factors, see Basher and Sadorsky, 2006)”
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- The authors state this as an assumption: There are no perfect substitution effects between production factors for oil-consuming firms.
- Interpretationreasoning§ 2.1 Stock valuation channel · p. 3
For an oil-consuming firm, increased production costs reduce profit levels and future cash flows.
“which, in turn, will reduce profit levels and thus future cash flows (Bohi 1991; Mork, Olsen, and Mysen 1994; Hampton, 1995; Brown and Yucel 1999; Filis et al. , 2011).”
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- cites Mork, Olsen, and Mysen 1994
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- cites Hampton, 1995
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- Interpretationnone given§ 2.2 Monetary channel · p. 4
Increases in short-term interest rates lead to an increase in commercial borrowing rates (discount rates) for future firm investments, raising borrowing costs.
“First, increases in short-term interest rates lead to an increase in commercial borrowing rates (i.e., discount rates) for any future firm investments, raising the borrowing costs of firms.”
Quote in the paperSubstantial claim - Premisecitation§ 2.2 Monetary channel · p. 4
The discount rate is at least partially composed of expected inflation and expected real interest rates.
“According to Mohanty and Nandha (2011), the discount rate is at least partially composed of expected inflation and expected real interest rates.”
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- Premisecitation§ 2.2 Monetary channel · p. 4
Assuming a central bank follows some type of rule, monetary policy makers increase short-term interest rates in response to higher inflationary pressures.
“Assuming that a central bank follows some type of rule 2 , we expect monetary policy makers to increase short-term interest rates in response to higher inflationary pressures (Basher and Sadorsky, 2006).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Basher and Sadorsky, 2006
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- The authors state this as an assumption: A central bank follows some type of rule.
- Interpretationreasoning§ 2.2 Monetary channel · p. 4
Oil price changes impact stock returns through inflation and interest rates.
“Thus, the second transmission mechanism by which oil price changes impact stock returns is through inflation and interest rates.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 2.1 Stock valuation channel · p. 3
Stock returns are impacted by factors that can alter expected cash flows and/or the discount rate, including oil prices.
“Eqs. 1 and 2 show that stock returns are impacted by factors that can alter the expected cash flows and/or the discount rate, including oil prices.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 2.2 Monetary channel · p. 5
Through the expectations channel, a significant increase in inflation following an oil price increase is not expected under a highly credible central bank.
“Through this expectations channel, we do not expect a significant increase in inflation following an oil price increase.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 2.1 Stock valuation channel · p. 3
For an oil-producer, an oil price increase results in increased profit margins and expected cash flows.
“On the other hand, for an oil-producer the oil price increase will result in increased profit margins and thus increased expected cash flows.”
Quote in the paperSubstantial claim - Premisereasoning§ 2.2 Monetary channel · p. 4
Oil price changes affect the expected discount rates of future cash flows.
“Oil price changes also affect the expected discount rates of future cash flows (see Eq. 2).”
Quote in the paperSubstantial claim - Interpretationreasoning§ 2.2 Monetary channel · p. 5
The magnitude of the effects of oil price changes on stock returns through the monetary channel depends on the central bank's credibility to stabilize inflation.
“We should highlight here that the magnitude of the aforementioned effects depends on the central bank's credibility to stabilize inflation.”
Quote in the paperNot a substantial claim - Premisecitation§ 2.3. Output channel · p. 5
Oil price fluctuations affect aggregate output.
“The literature maintains that oil price fluctuations affect aggregate output (see, inter alia , Hamilton, 1983; Hamilton, 2003; Kilian, 2008a, 2008b; Hamilton, 2009a).”
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- cites Hamilton, 2003
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- cites Kilian, 2008a
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- Premisecitation§ 2.1 Stock valuation channel · p. 3
Current stock prices reflect the discounted future cash flows of a particular stock.
“economic theory suggests that current stock prices reflect the discounted future cash flows of a particular stock (Huang et al. , 1996).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Huang et al., 1996
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- Premisecitation§ 2.1 Stock valuation channel · p. 3
Oil price changes can alter a firm's future cash flows positively or negatively depending on whether the firm is an oil-user or oil-producer.
“Oil price changes can alter a firm's future cash flows either positively or negatively, depending on whether the firm is an oil-user (oil-consumer) or oil-producer (see Oberndorfer, 2009; Mohanty and Nandha, 2011).”
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- cites Mohanty and Nandha, 2011
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- Interpretationcitation§ 3.1.3. Oil-importing countries and oil-exporting countries · p. 13
The negative relationship between oil prices and stock markets does not necessarily hold for stock markets operating in oil-exporting countries.
“Hence, the negative relationship that was established in the previous sections does not necessarily hold for stock markets operating in oil-exporting countries.”
Quote in the paperSubstantial claim - Interpretationreasoning§ [FIGURE 3 ABOUT HERE] · p. 8
In an oil-exporting economy, a positive oil price change leads to higher stock market performance.
“Taken together, these movements lead to higher stock market performance.”
Quote in the paperSubstantial claim- Rests on an assumption: The income effect is generally larger than the production effect in oil-exporting economies.
- The authors state this as an assumption: The monetary authority of the oil-exporting economy responds with contractionary monetary policy.
- Interpretationreasoning§ 2.3. Output channel · p. 5
Stock markets tend to respond negatively to lower aggregate demand and lower output in an oil-importing economy.
“Stock markets tend to respond negatively to such developments.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 2.3. Output channel · p. 5
The positive change in aggregate demand in an oil-exporting economy occurs only if the income effect counterbalances the negative production cost effect.
“The positive change in the aggregate demand will occur only if the income effect is such that it can counterbalance the negative production cost effect.”
Quote in the paperSubstantial claim - Premisecitation§ 3.1.4. Time-varying relationship · p. 14
In China, the correlation between oil and stock returns has sharply increased since the GFC.
“Similarly, Broadstock et al . (2012) concentrate on China and report a sharp increase in the correlation between oil and stock returns since the GFC.”
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- Interpretationreasoning§ 2.3. Output channel · p. 5
In an oil-exporting economy, if the income effect counterbalances the production cost effect, stock markets respond favourably to increased output because it boosts expected cash flows.
“In such a case, stock markets will respond favourably to the increased output, as it will boost the expected cash flows of the firms that operate in the country.”
Quote in the paperSubstantial claim - Premisecitation§ 2.5. Uncertainty channel · p. 6
Rising uncertainty about future oil costs increases households' incentives to save rather than consume.
“Rising uncertainty about future oil costs increases the incentives of households to save rather than consume (Edelstein and Kilian, 2009).”
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- Interpretationreasoning§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 9
The use of aggregate stock market indices may mask heterogeneous responses from different industrial sectors due to their different characteristics.
“Nevertheless, the use of aggregate stock market indices may mask heterogeneous responses from different industrial sectors due to their different characteristics.”
Quote in the paperSubstantial claim - Premisecitation§ 2.5. Uncertainty channel · p. 6
Rising oil prices cause higher uncertainty in the real economy due to effects on inflation, output, consumption, etc.
“In particular, rising oil prices cause higher uncertainty in the real economy, due to the effects of the former on inflation, output, consumption, etc.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Brown and Yücel (2002)
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- Premisecitation§ 2.3. Output channel · p. 5
Increased oil prices tend to lower the discretionary income of households due to changes in retail prices and increased prices of gasoline and heating oil.
“More specifically, increased oil prices tend to lead to lower the discretionary income of households, due to the changes in retail prices (as a result of increased production costs), but also due to the increased prices of gasoline and heating oil (Bernanke, 2006; Edelstein and Kilian, 2009).”
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- cites Edelstein and Kilian, 2009
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- Interpretationreasoning§ [FIGURE 2 ABOUT HERE] · p. 7
In an oil-importing economy, a positive oil price change leads to lower stock market performance.
“Taken together, these movements lead to lower stock market performance.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The monetary authority tries to counteract potential increases in inflation by reducing the supply of money.
- Interpretationreasoning§ 2.3. Output channel · p. 5
The effects of oil price changes on output and stock markets depend on whether an economy is oil-importing or oil-exporting.
“These effects are not expected to hold for all economies. On the contrary, they depend on whether an economy is oil-importing or oil-exporting.”
Quote in the paperSubstantial claim - Premisecitation§ 3.1.3. Oil-importing countries and oil-exporting countries · p. 13
The stock markets of oil-exporting economies tend to respond positively to oil price increases.
“Authors such as Wang et al . (2013), Arouri and Rault (2012), Mendoza and Vera (2010), Korhonen and Ledyaeva (2010), Bjornland (2009), Lescaroux and Mignon (2008), Park and Ratti (2008) and Bashar (2006) offer support to the hypothesis that the stock markets of oil-exporting economies tend to respond positively to oil price increases.”
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- cites Arouri and Rault (2012)
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- cites Mendoza and Vera (2010)
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- Premisecitation§ 3.1.2. Symmetric and asymmetric effects · p. 13
Tsai's (2015) study provides further evidence in favor of asymmetric effects, although only after the GFC period.
“Further evidence in favor of asymmetric effects is provided in Tsai's (2015) study, although only after the GFC period.”
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- Premisecitation§ 3.1.4. Time-varying relationship · p. 15
The time-varying relationship between oil and stock markets holds for all industrial sectors, regardless of whether these are oil-users, oil-related, oil-substitutes and non-oil-related.
“Furthermore, Degiannakis et al . (2013) confirm the aforementioned timevarying relationship for all industrial sectors, regardless of whether these are oil-users, oil-related, oil-substitutes and non-oil-related.”
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- Premisecitation§ 3.1.2. Symmetric and asymmetric effects · p. 13
Asymmetric effects of oil prices exist for firm-level stock return data, given the heterogeneous responses of stock price returns to positive and negative oil price changes.
“Phan et al . (2015) also confirm the asymmetric effects of oil prices for firm-level stock return data, given the heterogeneous responses of stock price returns to positive and negative oil price changes.”
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- Premisecitation§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 19
The Japanese stock market findings support Kilian and Park (2009).
“In addition, Abhyankar et al. (2013), focusing on the Japanese stock market, offer support to Kilian's and Park (2009) findings.”
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- Interpretationreasoning§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 18
Uncertainty in the oil market, created due to geopolitical unrest and associated anticipated future shortfalls in oil supply, is transmitted to financial markets.
“Finally, the negative responses of the stock markets to positive precautionary demand shocks suggest that uncertainty in the oil market, which is created due to geopolitical unrest and associated anticipated future shortfalls in oil supply, is transmitted to financial markets.”
Quote in the paperSubstantial claim - Premisenone given§ 4.3. Econometric methods and data used · p. 24
All the aforementioned studies primarily use Kilian's (2009) Structural Vector Autoregressive (SVAR) model, which allows the identification of the three oil price shocks.
“All the aforementioned studies primarily use Kilian's (2009) Structural Vector Autoregressive (SVAR) model, which allows the identification of the three oil price shocks.”
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- Premisecitation§ 4.3. Econometric methods and data used · p. 24
Kilian's global real economic activity index is the typical global aggregate demand proxy used by the aforementioned studies.
“Kilian's global real economic activity index is the typical global aggregate demand proxy that the aforementioned studies use.”
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- Premisecitation§ 4.1. Defining oil price shocks · p. 18
This line of research was delayed primarily due to the unavailability of data that would be able to capture the dynamics of industrial commodities demand, as these are influenced by the global business cycle.
“This line of research was delayed primarily due to the unavailability of data that would be able to capture the dynamics of the industrial commodities demand, as these are influenced by the global business cycle (Kilian, 2009).”
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- Premisecitation§ 3.1.4. Time-varying relationship · p. 15
Oil shocks (symmetric or asymmetric) are not a 'frequent' determinant of the US excess stock returns, at least at firm-level.
“Their findings convincingly suggest that oil shocks (symmetric or asymmetric) are not a 'frequent' determinant of the US excess stock returns, at least at firm-level, which is in contrast to the conventional wisdom.”
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- Premisenone given§ 4.3. Econometric methods and data used · p. 24
Studies that examine the time-varying relationship between oil shocks and stock market performance use either multivariate GARCH models or the Time-Varying Parameter VAR model of Primiceri (2005).
“studies that examine the time-varying relationship between oil shocks and stock market performance use either multivariate GARCH models (such as the Dynamic Conditional Correlation of Engle (2002) or BEKK by Baba et al. (1991) and Engle and Kroner (1995)) or the Time-Varying Parameter VAR model of Primiceri (2005).”
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- cites Baba et al. (1991)
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- cites Engle and Kroner (1995)
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- Interpretationnone given§ 5.1.1. Relationship between oil and stock market volatility · p. 26
Studies that focus on disaggregate indices show that oil market volatility exercises a significant impact at the sectoral level.
“So far, studies that focus on disaggregate indices show that oil market volatility exercises a significant impact at the sectoral level.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 7. Conclusions and ideas for further study · p. 32
These transmission channels suggest that higher oil prices lead to lower stock market returns for stock markets operating in oil-importing economies.
“These transmission channels suggest that higher oil prices lead to lower stock market returns-for stock markets operating in oil-importing economies.”
Quote in the paperSubstantial claim - Premisereasoning§ 5.2. Time-varying relationship between oil and stock market volatility · p. 27
Recent studies focus on the time-varying effects of relationships between volatilities of the two markets.
“Hence, recent studies focus on the time-varying effects of relationships between volatilities of the two markets.”
Quote in the paperSubstantial claim - Premisecitation§ 5. Relationship between oil price volatility and stock market volatility · p. 25
Only recently have researchers looked into the relationship between oil and stock market volatility.
“Despite this prima facie evidence, only recently have researchers looked into the relationship between oil and stock market volatility (see for instance, Malik and Hammoudeh, 2007; Malik and Ewing, 2009).”
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- cites Malik and Ewing, 2009
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- Interpretationnone given§ 7. Conclusions and ideas for further study · p. 33
The volatility relationship tends to intensify during the global financial crisis period.
“Furthermore, additional evidence suggests that the volatility relationship is time-varying, which tends to intensify during the global financial crisis period.”
Quote in the paperNot a substantial claim - Interpretationnone given§ 7. Conclusions and ideas for further study · p. 33
The reverse (stock market volatility affecting oil price volatility) holds true only in the case of the US market.
“Oil price volatility exercises a significant effect on stock market volatility, whereas the reverse holds true only in the case of the US market.”
Quote in the paperNot a substantial claim - Premisecitation§ 6. Impact of stock markets on forecasting oil prices and oil price volatility · p. 29
Studies rely mainly on oil market fundamentals (global oil production, global demand, global oil inventories) or the futures price of oil when forecasting oil prices.
“Instead, studies rely mainly on oil market fundamentals like global oil production, global demand and global oil inventories 6 , or the futures price of oil 7 when forecasting oil prices (the review of these studies falls outside the scope of this survey).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Baumeister and Kilian, (2015, 2014)
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- cites Baumeister et al. (2014)
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- Premisenone given§ 6. Impact of stock markets on forecasting oil prices and oil price volatility · p. 29
The wealth of literature on oil price and oil price volatility forecasting does not use information extracted from stock markets to examine whether it can provide incremental forecasting accuracy.
“The wealth of literature on oil price and oil price volatility forecasting does not use the information extracted from stock markets to examine whether it can provide incremental forecasting accuracy.”
Quote in the paperSubstantial claim - Premisenone given§ 6.2. Oil price volatility forecasting · p. 31
There are only three studies that examine whether information extracted from stock markets can provide incremental forecasting accuracy for oil price volatility.
“In terms of oil price volatility forecasting, there are again only three studies that examine whether the information extracted from stock markets can provide incremental forecasting accuracy.”
Quote in the paperNot a substantial claim - Premisereasoning§ 6.3. Econometric methods and data used · p. 31
There is not a common model used in the aforementioned forecasting studies.
“Interestingly enough, there is not a common model that is used in the aforementioned studies.”
Quote in the paperNot a substantial claim - Premisenone given§ 5.3. Econometric methods and data used · p. 29
The majority of studies have employed a GARCH-type model, either in static frameworks (e.g. VAR-GARCH) or in time-varying frameworks (e.g. GARCH-BEKK, GARCH-VECH, Diagonal BEKK).
“Turning our attention to the methods that have been used, the majority of the studies have employed a GARCH-type model, either in static frameworks (e.g. VARGARCH) or in time-varying frameworks (e.g. GARCH-BEKK, GARCH-VECH, Diagonal BEKK).”
Quote in the paperNot a substantial claim - Premisecitation§ 6. Impact of stock markets on forecasting oil prices and oil price volatility · p. 29
The literature on oil price volatility forecasting primarily uses past information about oil price volatility to forecast future volatility.
“On the other hand, the literature on oil price volatility forecasting primarily uses past information about oil price volatility to forecast future volatility 9 .”
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- cites Sevi (2014)
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- cites Chkili et al . (2014)
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- Interpretationnone given§ 7. Conclusions and ideas for further study · p. 33
There is some evidence to suggest that the oil market can provide hedging opportunities for stock markets.
“In short, there is some evidence to suggest that the oil market can provide hedging opportunities for stock markets.”
Quote in the paperSubstantial claim - Interpretationnone given§ 7. Conclusions and ideas for further study · p. 33
Oil price volatility exercises a significant effect on stock market volatility.
“Oil price volatility exercises a significant effect on stock market volatility, whereas the reverse holds true only in the case of the US market.”
Quote in the paperSubstantial claim - Interpretationnone given§ 7. Conclusions and ideas for further study · p. 33
The volatility relationship is time-varying.
“Furthermore, additional evidence suggests that the volatility relationship is time-varying, which tends to intensify during the global financial crisis period.”
Quote in the paperSubstantial claim - Interpretationnone given§ 7. Conclusions and ideas for further study · p. 33
The volatilities of the two markets are linked together in a dynamic fashion.
“We further show that the volatilities of the two markets are linked together in a dynamic fashion.”
Quote in the paperNot a substantial claim
- May combine two claims. 69
- Classified as probably not a substantial claim. 43
- The quote only partly states this claim. 5
May combine two claims.
Findingown data§ 1. Introduction · p. 2The oil-stock market relationship does not exhibit a stable pattern over time; there are periods of coupling and decoupling between the two markets.
“For all its fanfare, the oil/stock market relationship does not necessarily exhibit a stable pattern over time. Figure 1 shows there are periods of coupling and decoupling between the two markets.”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ Abstract · p. 1Causal effects between oil and stock markets depend heavily on whether research uses aggregate stock market indices, sectoral indices, or firm-level data and whether stock markets operate in net oil-importing or net oil-exporting countries.
“Our review finds that the causal effects between oil and stock markets depend heavily on whether research is performed using aggregate stock market indices, sectoral indices, or firm-level data and whether stock markets operate in net oil-importing or net oil-exporting countries.”
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Findingnone given§ Abstract · p. 1The majority of papers surveyed study the impacts of oil markets on stock markets, while little research examines the reverse direction.
“The majority of papers we survey study the impacts of oil markets on stock markets, whereas, little research in the reverse direction exists.”
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Findingnone given§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 11The literature has not extensively focused on the effects of oil price changes on firm-level stock returns.
“Interestingly enough, the literature has not extensively focused on the effects of oil price changes on firm-level stock returns, which would allow for an even more in-depth analysis, given that firms within the same sector may well exhibit heterogeneous responses to oil price changes.”
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Findingcitation§ 3.1.4. Time-varying relationship · p. 14There are periods when oil and stock markets exhibit a positive relationship, whereas in other periods a negative relationship prevails.
“Thus, there are periods when the two markets exhibit a positive relationship, whereas in other periods a negative relationship prevails.”
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Findingcitation§ 3.1.4. Time-varying relationship · p. 14The relationship between oil prices and stock market is time-varying and mainly driven by economic or geopolitical developments.
“These studies corroborate that the relationship between oil prices and stock market is time-varying and mainly driven by economic or geopolitical developments.”
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Findingcitation§ 3.1.4. Time-varying relationship · p. 14The relationship between oil and stock markets may not be stable over time; a time-varying relationship may prevail.
“A recent strand in this line of research acknowledges the fact that the relationship between oil and stock markets may not be stable over time. On the contrary, a time-varying relationship may prevail.”
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Findingcitation§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 9There are authors who maintain that oil price changes do not impact stock returns.
“On the other hand, there are authors who maintain that oil price changes do not impact stock returns (see, inter alia , Al Janabi et al ., 2010; Jammazi and Aloui, 2010; Apergis and Miller, 2009; Cong et al ., 2008; Henriques and Sadorsky, 2008).”
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Findingcitation§ 3.1.2. Symmetric and asymmetric effects · p. 12The US stock market responds heterogeneously to positive and negative oil price changes, but such evidence is not apparent for European stock markets.
“Park and Ratti (2008) uses all three asymmetric specifications and conclude that while the US stock market responds heterogeneously to positive and negative oil price changes, such evidence is not apparent for European stock markets.”
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Findingreasoning§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 11Summarizing industrial sector evidence, oil-related and oil-substitute sectors are positively affected by oil price changes, whereas oil-user and non-oil-related (or financial) sectors are negatively affected.
“Summarizing the evidence from the industrial sectors, we maintain that oilrelated and oil-substitute sectors are positively affected by changes in oil prices, whereas the reverse holds for oil-user and non-oil-related (or financial) sectors.”
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Findingcitation§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 10Sectors such as Supply, Manufacturing, Food, Chemical, Medical, Computer, Transportation, Real Estate and General Services respond negatively to positive oil price changes, while findings are inconclusive for Electricity, Engineering and Financial sectors.
“By contrast, authors such as Narayan and Sharma (2011) find evidence that sectors such as Supply, Manufacturing, Food, Chemical, Medical, Computer, Transportation, Real Estate and General Services respond negatively to positive oil price changes, whereas inconclusive findings are reported for the Electricity, Engineering and Financial sectors.”
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Findingcitation§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 11The effects of oil prices on stock returns changed as a result of the Global Financial Crisis of 2007-09: before the GFC, oil prices negatively influenced firms' stock returns; since the GFC, the effects have become positive.
“More specifically, Tsai (2015) finds that before the GFC, oil prices were negatively influencing firms' stock returns. However, since the GFC the effects have become positive.”
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Findingcitation§ 3.1.1. Aggregate, sectoral and firm level analysis · p. 11Increased oil price changes lead to appreciation of oil producer stock prices, whereas the reverse holds for oil consumers.
“They conclude that increased oil price changes lead to appreciation of oil producer stock prices, whereas the reverse holds true for oil consumers.”
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Findingcitation§ 3.1.2. Symmetric and asymmetric effects · p. 12There is an asymmetric effect of oil prices, given that some markets exhibit greater responses to positive changes in oil prices.
“Their findings suggest that there is indeed an asymmetric effect of oil prices, given that some markets exhibit greater responses to positive changes in oil prices”
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Findingcitation§ 3.2. Econometric methods and data used · p. 16Studies that investigate the time-varying relationship between oil and stock markets use monthly data and employ multivariate GARCH models, such as DCC or BEKK.
“On the other hand, studies that investigate the time-varying relationship between oil and stock markets (either for aggregate stock market or sectoral indices) use monthly data and employ multivariate GARCH models, such as the Dynamic Conditional Correlation by Engle (2002) or the BEKK model of Baba et al . (1991) and Engle and Kroner (1995).”
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Findingnone given§ 3.2. Econometric methods and data used · p. 16Authors who consider firm-level data primarily use daily data; the most common approaches are CAPM or the Fama and French (1993) 3-factor model augmented to incorporate oil price changes.
“By contrast, authors who consider firm-level data primarily use daily data. In these studies the most common approaches are the Capital Asset Pricing Model (CAPM) or the Fama and French (1993) 3-factor model, which are augmented to incorporate oil price changes”
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Findingreasoning§ 4.2.2. Oil-importing countries and oil-exporting countries · p. 22The literature points to the fact that stock market responses are heterogeneous to the different oil shocks, and also country-specific, depending on whether the country is an oil-importer or oil-exporter.
“Overall, we observe that the literature (although scarce) points to the fact that stock market responses are heterogeneous to the different oil shocks, and also country-specific, depending on whether the country is an oil-importer or oil-exporter.”
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Interpretationreasoning§ 2.1 Stock valuation channel · p. 3Oil-users are expected to exhibit bearish behaviour during oil price increases, while oil-producing firms are expected to exhibit the reverse.
“Intuitively, we expect oil-users to exhibit bearish behaviour during periods of oil price increase, whereas the reverse holds true for oilproducing firms.”
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Premisecitation§ 2.2 Monetary channel · p. 4Rising oil prices result in increased production costs, which are transferred to consumers, leading to higher retail prices and higher expected inflation.
“As mentioned in section 2.1, rising oil prices result in increased production costs. However, these costs will be transferred to consumers, leading to higher retail prices and thus higher expected inflation (see Abel and Bernanke 2001; Hamilton 1996, 1988; Barro 1984, among others).”
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Interpretationreasoning§ 2.2 Monetary channel · p. 4Increased borrowing costs lead to fewer positive NPV projects and lower cash flows.
“Furthermore, the increased borrowing costs lead to fewer positive NPV projects (lower cash flows).”
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Interpretationreasoning§ 2.2 Monetary channel · p. 4Due to increased discount rates and/or lower cash flows, stock prices decrease in value.
“Thus, either due to increased discount rates and/or lower cash flows, stock prices decrease in value.”
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Interpretationreasoning§ 2.2 Monetary channel · p. 5Under a highly credible central bank, inflation expectations remain stable despite an oil price increase, and close to the inflation target.
“Assuming a highly credible central bank, we maintain that inflation expectations will remain stable, despite an oil price increase, and thus close to the inflation target.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: A central bank is highly credible.
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Interpretationreasoning§ 2.2 Monetary channel · p. 5In the case of a low credibility central bank, inflation expectations are volatile, resulting in a larger change of inflation expectation following an oil price increase, leading to a worse impact on stock price levels.
“By contrast, in the case of a low credibility central bank, inflation expectations will be volatile and this results in a larger change of inflation expectation, following an oil price increase, leading to an even worse impact on stock price levels.”
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Interpretationreasoning§ 2.4. Fiscal channel · p. 6If consumption and government purchases are substitutes, the opposite impact occurs due to crowding out effects, and stock markets respond negatively.
“By contrast, if consumption and government purchases are regarded as substitutes then the opposite impact will be evident, due to the crowding out effects. Stock markets will respond negatively to such developments, as the substitution effect will drive out the most productive private capital of the economy.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Consumption and government purchases are substitutes.
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Interpretationreasoning§ 2.3. Output channel · p. 5Lower income leads to lower consumption and thus lower aggregate output, which further leads to lower labour demand.
“Lower income leads to lower consumption and thus aggregate output, which further leads to lower labour demand.”
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Premisenone given§ 2.3. Output channel · p. 5Positive oil price changes have both an income and a production cost effect, leading to changes in aggregate output.
“According to this channel, positive oil price changes are expected to have both an income and a production cost effect, which will lead to changes in aggregate output.”
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Premisecitation§ 3.1.4. Time-varying relationship · p. 14Oil price changes affect the time-varying stock market correlations among oil-importing countries, whereas no effects are reported for the correlations among oil-exporting countries.
“They show that oil price changes affect the time-varying stock market correlations among oil-importing countries, whereas no effects are reported for the correlations among oil-exporting countries.”
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Premisecitation§ 3.1.2. Symmetric and asymmetric effects · p. 13Negative changes in oil prices allow for superior prediction of stock price returns compared to positive changes, providing evidence of asymmetric oil price effects.
“Finally, Narayan and Gupta (2015) suggest that there is evidence of asymmetric oil price effects, given that negative changes in oil prices allow for superior prediction of stock price returns, compared to positive changes.”
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Premisecitation§ 3.1.4. Time-varying relationship · p. 14During geopolitical events the relationship between oil price changes and stock returns is negative, whereas during recessions or economic booms the relationship turns positive; there are no significant relationships between oil exporting and oil importing stock markets.
“For instance Filis et al . (2011) focus on both oil importing and oil exporting countries, and show that during geopolitical events (i.e. unrest in the Middle East) the relationship between oil price changes and stock returns is negative, whereas during recessions or economic booms the relationship turns positive. Even more, the authors do not find any significant relationships between oil Export”
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Premisecitation§ 2.3. Output channel · p. 5An increase in oil prices worsens the terms-of-trade for an oil-importing economy, resulting in lower income, a negative wealth effect on consumption, and lower aggregate demand.
“Put differently, an increase in oil prices will worsen the terms-of-trade for an oilimporting economy, which will result in lower income and a negative wealth effect on consumption, and in turn to lower aggregate demand (Svensson, 2005 and 2006).”
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Premisecitation§ 3.1.2. Symmetric and asymmetric effects · p. 13Oil price increases tend to trigger negative responses in stock markets, which are of a higher magnitude compared to the positive responses of the latter when oil prices decrease.
“reports that oil price increases tend to trigger negative responses in stock markets, which are of a higher magnitude compared to the positive responses of the latter when oil prices decrease.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jiménez-Rodríguez (2015)
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Interpretationreasoning§ 2.4. Fiscal channel · p. 6Assuming consumption and government purchases are complements, increased government purchases lead to higher household consumption.
“Assuming that consumption and government purchases are considered complements, then the latter will lead to higher household consumption.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Consumption and government purchases are complements.
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Premisecitation§ 3.1.3. Oil-importing countries and oil-exporting countries · p. 14Oil prices do not tend to affect the stock markets of the Gulf Corporation Council countries (GCC), so oil prices cannot be used as predictors for GCC stock markets.
“By contrast, Al Janabi et al . (2010) report that oil prices do not tend to affect the stock markets of the Gulf Corporation Council countries (GCC). Thus oil prices cannot be used as predictors for GCC stock markets.”
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Interpretationreasoning§ 2.4. Fiscal channel · p. 6In the complements case, private firms are expected to increase cash flows and profitability, pushing stock prices higher and leading to a bullish stock market.
“In such a case, private firms are expected to increase their cash flows and thus their profitability. Such developments will push stock prices to higher levels and the stock market will exhibit a bullish period.”
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Premisecitation§ 3.1.3. Oil-importing countries and oil-exporting countries · p. 13Oil price effects are different in countries that are oil-exporters compared to countries that are oil-importers.
“Rather, Mohanty et al . (2011) maintains that oil price effects are different in countries that are oil-exporters, compared to these that are oil-importers.”
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Interpretationreasoning§ 2.5. Uncertainty channel · p. 6Increased oil prices reduce firms' demand for irreversible investments, which reduces expected cash flows.
“Thus, increased oil prices will reduce firms' demand for irreversible investments, which in turn, reduce expected cash flows.”
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Interpretationcitation§ 2.5. Uncertainty channel · p. 6As uncertainty rises due to increased oil prices, the value of postponing investment and consumption decisions increases, decreasing incentives to invest or consume, dampening economic growth prospects and stock market returns.
“It is worth noting here that as uncertainty rises due to increased oil prices, the value of postponing both investment and consumption decisions increases and thus, a decrease in the incentive to invest or consume is observed, which thereby dampens economic growth prospects (Chuku et al. , 2010) and thus stock market returns.”
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Premisecitation§ 2.4. Fiscal channel · p. 6Increased oil prices tend to lead to a transfer of wealth from oil-importing economies to oil-exporting ones, allowing increased government purchases.
“Increased oil prices tend to lead to a transfer of wealth from oil-importing economies to oil-exporting ones (Dohner, 1981), which allow for increased government purchases.”
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Interpretationreasoning§ 2.3. Output channel · p. 5An oil-exporting economy experiences negative production cost effects but benefits from a positive income effect due to increased oil revenues, leading to higher aggregate demand and higher output.
“On the other hand, even though an oil-exporting economy will also experience negative production cost effects, it will benefit from a positive income effect, due to increased oil revenues (the value of export demand for oil rises), leading to higher aggregate demand and thus higher output.”
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Premisecitation§ 3.1.2. Symmetric and asymmetric effects · p. 13Before the GFC there was no evidence of asymmetric effects; during and after the GFC, firm-level stock returns are more reactive to negative changes in oil prices.
“More specifically, the results indicate that before the GFC there was no evidence of asymmetric effects. By contrast, during and after the GFC, firm-level stock returns are more reactive to negative changes in oil prices.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tsai's (2015)
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Premisecitation§ 2.5. Uncertainty channel · p. 6Uncertainty from rising oil prices is propagated to households, which reduce consumption of durable goods.
“Furthermore, uncertainty is also propagated to households which reduce their consumption of durable goods (Bernanke 1983; Pindyck 2003).”
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Premisecitation§ 3.1.4. Time-varying relationship · p. 14A negative relationship between oil prices and stock markets holds during the 70s and the 90s; in the 80s there are no significant effects; the negative effects are reversed into positive effects after 1999.
“More specifically, the authors claim that a negative relationship holds during the 70s and the 90s. By contrast, in the 80s the authors cannot report any significant effects of oil prices on stock returns. Finally, they find evidence that the negative effects of oil prices on stock markets are reversed into positive effects after 1999.”
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Interpretationreasoning§ 2.3. Output channel · p. 5Lower aggregate demand leads to lower expected cash flows for firms, which leads to lower stock prices.
“In particular, lower aggregate demand leads to lower expected cash flows for firms, which further leads to lower stock prices.”
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Premisecitation§ 4.1. Defining oil price shocks · p. 17Aggregate demand shocks are related to oil price changes which are influenced by movements in the global business cycle.
“The aggregate demand shocks , according to Kilian's studies are related to oil price changes which are influenced by movements in the global business cycle.”
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Premisecitation§ 4.3. Econometric methods and data used · p. 24Increasing (decreasing) freight rates may indicate higher (lower) global demand.
“To put it simply, increasing (decreasing) freight rates may indicate higher (lower) global demand.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kilian (2009)
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Premisecitation§ 3.1.4. Time-varying relationship · p. 15The effects between oil and stock markets are time-varying and bidirectional; the oil market exercises greater effects on stock markets than the reverse; these bidirectional effects are more prominent after the GFC of 2007-09.
“Finally, Awartani and Maghyereh (2013) show that the effects between oil and stock markets are time-varying and bidirectional. However, it is evident that the oil market exercises greater effects on stock markets rather than the reverse. In addition, they show that these bidirectional effects are more prominent after the GFC of 200709.”
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Premisecitation§ 4.1. Defining oil price shocks · p. 17Oil prices change in response to either geopolitical or economic events, which suggests that oil prices change due to supply disruptions (supply-side shocks) or economic growth/downturns (demand-side shocks).
“Hamilton (2009a, 2009b) maintains that oil prices change in response to either geopolitical or economic events, which suggests that oil prices change due to supply disruptions ( supply-side shocks) or economic growth/downturns ( demand-side shocks).”
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Interpretationreasoning§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 18Positive aggregate demand shocks are regarded as positive news for stock markets, even though they create an upward movement in oil prices, because they reflect periods of economic growth.
“By contrast, positive aggregate demand shocks seem to be regarded as positive news for stock markets (hence the positive response), even though they create an upward movement in oil prices. This is expected, as positive aggregate demand shocks reflect periods of economic growth, which are positive news for financial markets.”
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Premisecitation§ 5. Relationship between oil price volatility and stock market volatility · p. 25Huang et al. (1996) opine that oil and stock market linkages could potentially be realized through their volatilities.
“Huang et al. (1996) opine that oil and stock market linkages could potentially be realized through their volatilities.”
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Premisecitation§ 4.2.3. Time-varying relationship · p. 23The correlation between oil and stock markets is time-varying and responds to various oil price shocks; precautionary demand (aggregate demand) shocks lead to lower (higher) correlations between oil and stock market returns; supply-side events do not seem to trigger changes in correlation; results remain qualitatively similar for both oil-importing and oil-exporting economies.
“One of the early findings in this line of research is by Filis et al. (2011), who show that the correlation between oil and stock markets is time-varying and responds to the various oil price shocks. In particular, they show that precautionary demand ( aggregate demand ) shocks lead to lower (higher) correlations between oil and stock market returns and though the magnitude of”
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Premisecitation§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 20Supply-side shocks do not exercise any effects, whereas negative responses are observed for the two demand-side shocks; positive aggregate demand and precautionary demand shocks lead to lower covariability between the returns and volatility of the US market.
“Their findings show that supplyside shocks do not exercise any effects, whereas negative responses are observed for the two demand-side shocks. In particular, positive aggregate demand and precautionary demand shocks lead to lower covariability between the returns and volatility of the US market.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kang et al. (2015a)
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Premisecitation§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 21European stock market volatility responds negatively to positive aggregate demand shocks, whereas no significant response is evident to supply-side and precautionary demand shocks; findings hold for aggregate indices and ten industrial sectors.
“Degiannakis et al. (2014), who focus on the European stock market, show evidence that stock market volatility responds negatively (i.e. reduces) to positive aggregate demand shocks, whereas no significant response is evident to supply-side and precautionary demand shocks. Their findings hold true for aggregate stock market indices, as well as for ten industrial sectors.”
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Interpretationcitation§ 4.1. Defining oil price shocks · p. 18Oil price changes are not necessarily exogenous; reverse causality between macro-finance variables and oil prices exists; not all oil price movements are exogenous, but they could be influenced by wider economic activity.
“Overall, the argument behind the development of oil price shocks as a mechanism to explain the effects of the oil market on stock market performance stems from the fact that oil price changes are not necessarily exogenous, as it was the common approach of previous studies. On the contrary, reverse causality, between macro-finance variables and oil prices, does”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Barsky and Kilian (2002)
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Premisecitation§ 4.2.2. Oil-importing countries and oil-exporting countries · p. 21The effects of oil price shocks on eight stock markets are similar to Kilian and Park (2009) but small in magnitude; international financial markets do not really value oil shocks.
“The authors report similar findings with Kilian and Park (2009), nevertheless, they maintain that these effects are small in magnitude and, thus, they conclude that international financial markets do not really value oil shocks.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Apergis and Miller (2009)
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Premisecitation§ 4.1. Defining oil price shocks · p. 17There are three types of oil price shocks: supply-side, aggregate demand and precautionary demand shocks.
“Kilian (2008b, 2009) maintain that there are three types of oil price shocks, namely, the supply-side , aggregate demand and precautionary demand shocks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kilian (2008b, 2009)
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Premisecitation§ 4.3. Econometric methods and data used · p. 24The most plausible explanation for these unexplained innovations is changes in precautionary demand for oil, so they are named precautionary demand shocks.
“Kilian (2009) suggests that the most plausible explanation is that these innovations can be explained by changes in the precautionary demand for oil and, thus, these are named precautionary demand shocks (also named as the oil-specific demand shocks or the idiosyncratic oil demand shocks).”
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Premisecitation§ 4.2.3. Time-varying relationship · p. 23The relationship between each of the three shocks and stock market returns is time-varying, and fluctuates between both positive and negative correlations; the only exemption is the correlation between US stock returns and aggregate demand shocks, which always exhibit a positive correlation; relationships are time-varying and industry specific; the Chinese stock market seems to be more resilient
“This is the first study to explicitly show that the relationship between each of the three shocks and stock markets returns is indeed time-varying, and fluctuates between both positive and negative correlations. The only exemption is the correlation between the US stock returns and aggregate demand shocks, which always exhibit a positive correlation. The authors also proceed”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Broadstock and Filis (2014)
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Premisecitation§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 20Disentangling oil price changes according to individual shocks provides significantly incremental predictive information for the regime of US stock returns and volatility; positive supply-side and aggregate demand shocks push the US market into bull territory, whereas precautionary demand shocks do not seem to matter; precautionary demand shock leads to high volatility regime, whereas supply-side
“The authors focus on both US stock market returns and volatility and their findings reveal that, indeed, disentangling oil price changes according to the individual shocks provides significantly incremental predictive information for the regime of US stock returns and volatility. In particular, they show that positive supply-side and aggregate demand shocks push the US”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Angelidis et al. (2015)
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Premisecitation§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 18Different oil price shocks trigger different responses from the stock market; stock market returns do not really respond to supply-side shocks, whereas positive (negative) responses are observed during aggregate demand (precautionary demand) shocks.
“Kilian and Park (2009) utilize Kilian's (2009) definitions of oil price shocks for the US stock market, and show that the different oil price shocks trigger different responses from the stock market. In particular, they find that stock market returns do not really respond to supply-side shocks, whereas positive (negative) responses are observed during aggregate demand ( precautionary”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kilian and Park (2009)
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Premisecitation§ 4.3. Econometric methods and data used · p. 24The global real economic activity index does not measure global output, but is a measure for global industrial commodities demand resulting from worldwide economic activity (the global business cycle).
“The index does not measure global output, but rather is a measure for global industrial commodities demand, as a result of worldwide economic activity (i.e. the global business cycle).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kilian (2009)
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Classified as probably not a substantial claim. May combine two claims.
Premisecitation§ 4.3. Econometric methods and data used · p. 24Increasing freight rates suggests that the shipping industry operates closer to full capacity, which is true only during economic booms.
“Increasing freight rates suggests that the shipping industry operates closer to full capacity and this is true only during times of economic booms.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kilian (2009)
Not checked in the free run.
May combine two claims.
Premisecitation§ 4.2.2. Oil-importing countries and oil-exporting countries · p. 22Norwegian stock market volatility responds favorably to positive aggregate demand shocks, whereas insignificant effects are reported to supply-side and precautionary demand shocks; only precautionary demand shocks lead to higher volatility in the Korean stock market.
“As far as volatility is concerned, Jung and Park (2011) show that the responses are different between the two countries and among the three shocks. More specifically, they maintain that Norwegian stock market volatility responds favorably (i.e. reduces) to positive aggregate demand shocks, whereas insignificant effects are reported to supply-side and precautionary demand shocks. By contrast, it”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jung and Park (2011)
Not checked in the free run.
May combine two claims. The quote only partly states this claim.
Premisecitation§ 4.2.3. Time-varying relationship · p. 23In almost the whole study period (1973-2012) aggregate demand (precautionary demand) shocks exercise a positive (negative) effect, although the magnitude diminishes towards the latter part; supply-side shocks have a significant negative effect in the early years (1973-1980), whereas marginal or insignificant effects are observed thereafter; the largest effect on stock market returns is from
“They show that in almost the whole study period (1973-2012) the aggregate demand ( precautionary demand ) shocks exercise a positive (negative) effect, although the magnitude of the effects diminish towards the latter part of the study. The supply-side shocks seem to have a significant negative effect in the early years (1973-1980), whereas marginal or insignificant effects”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kang et al. (2015b)
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationreasoning§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 18OPEC decisions are somewhat anticipated and, thus, they are discounted by market participants.
“Such findings might be justified by the fact that OPEC decisions are somewhat anticipated and, thus, they are discounted by market participants.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 4.1. Defining oil price shocks · p. 17Supply-side shocks are related to restrictions in oil supply by OPEC, via cartel behavior, as a strategy to inflate oil prices.
“According to these studies supply-side shocks are related to restrictions in oil supply by OPEC, via cartel behavior, as a strategy to inflate oil prices.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kilian (2008b, 2009)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 5. Relationship between oil price volatility and stock market volatility · p. 25Ross (1989) maintains that volatilities from different assets can affect each other.
“Ross (1989) maintains that volatilities from different assets can affect each other.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ross (1989)
Not checked in the free run.
May combine two claims.
Premisecitation§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 19Emerging stock markets do not seem to react to supply-side shocks, whereas a positive response is observed for both aggregate demand and precautionary demand shocks.
“They find that emerging stock markets do not seem to react to supply-side shocks, whereas a positive response is observed for both aggregate demand and precautionary demand shocks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Basher et al. (2012)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 4.3. Econometric methods and data used · p. 24Innovations to real oil prices not explained by supply-side or aggregate demand shocks should reflect changes in demand for oil for reasons other than industrial commodity demand or OPEC production changes.
“innovations to real oil prices that are not explained by either supply-side or aggregate demand oil price shocks should reflect changes in the demand for oil for reasons other than demand for industrial commodities or production changes by OPEC.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kilian (2009)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 4.1. Defining oil price shocks · p. 17Geopolitical unrest, primarily observed in the Middle-East region, does not lead to supply-side oil price shocks; these events trigger precautionary demand shocks, which result due to uncertainty about future availability of oil.
“On the other hand, geopolitical unrest, primarily observed in the Middle-East region, does not lead to supply-side oil price shocks. On the contrary, they posit that these events trigger precautionary demand shocks, which result due to the uncertainty that the geopolitical turbulence imposes on economic agents about the future availability of oil.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kilian (2008b, 2009)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 21Both demand-side shocks lead to lower stock market volatility in the US.
“Kang et al. (2015a), on the other hand, concentrate on the US market and find that both demand-side shocks (i.e. aggregate demand and precautionary demand shocks) lead to lower stock market volatility.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kang et al. (2015a)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 4.1. Defining oil price shocks · p. 17Economic agents expect a shortage in oil supply soon after initiation of geopolitical unrest and, thus, they increase their demand for oil instantly, driving oil prices to higher levels.
“To put it simply, Kilian and co-authors maintain that economic agents expect a shortage in oil supply soon after initiation of geopolitical unrest and, thus, they increase their demand for oil instantly, driving oil prices to higher levels.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kilian (2008b, 2009)
Not checked in the free run.
May combine two claims.
Premisecitation§ 4.2.3. Time-varying relationship · p. 23Both the origin of the oil price shock and the type of industry influence the time-varying correlation between oil and sectoral stock returns.
“They find that both the origin of the oil price shock as well as the type of the industry influence the time-varying correlation between oil and sectoral stock returns.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Degiannakis et al. (2013)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 3.1.4. Time-varying relationship · p. 15The time-varying correlation between the technology and energy sectors and oil price changes fluctuates in both positive and negative regions for both sectors.
“He reports that the time-varying correlation between these two sectors and oil price changes fluctuates in both positive and negative regions for both sectors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sadorsky (2012)
Not checked in the free run.
May combine two claims. The quote only partly states this claim.
Premisecitation§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 20For aggregate oil and gas industry returns, findings corroborate previous studies; negative supply-side shocks trigger negative responses from oil and gas sector's returns; for individual oil and gas companies, effects are not company specific but industry-specific, as all shocks trigger positive responses from firm-level stock returns; for upstream, midstream and downstream companies, responses
“Their findings for the aggregate industry's returns corroborate those of the previous studies. Additionally, they also show that even negative supply-side shocks trigger negative responses from the oil and gas sector's returns. Concerning the individual oil and gas companies, we notice that the effects are not company specific but they are industryspecific, as all shocks trigger positive responses”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kang et al. (2017)
Not checked in the free run.
May combine two claims.
Premisecitation§ 4.2.1. Aggregate, sectoral and firm level analysis · p. 19The effects of oil price shocks are industry-specific; Automobile & Trucks and Retail industries only respond negatively to precautionary demand shocks, whereas Petroleum & Natural Gas and Precious Metals only respond positively to aggregate demand shocks.
“Kilian and Park (2009) also provide evidence that the effects of oil price shocks are industry-specific. In particular, they show that the Automobile & Trucks and Retail industries only respond (negatively) to precautionary demand shocks, whereas Petroleum & Natural Gas and Precious Metals only respond (positively) to aggregate demand shocks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kilian and Park (2009)
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ 4.2.2. Oil-importing countries and oil-exporting countries · p. 22The difference in stock market responses to precautionary demand shocks stems from the fact that even though such shocks are related to geopolitical tensions, the oil-exporting economy can have some short-term benefits from the increase in the price of oil.
“Regarding the difference in stock market responses to precautionary demand shocks, this stems from the fact that even though such shocks are related to geopolitical tensions, the oilexporting economy can have some short-term benefits from the increase in the price of oil.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisenone given§ 7. Conclusions and ideas for further study · p. 34The oil market has become more financialized in recent years due to the increased participation of hedge funds.
“Finally, given that the oil market has become more financialized in recent years due to the increased participation of hedge funds studies should investigate further the role of the speculative activity in the oil market and how this financialization has altered its nature.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Büyüksahin and Robe, 2014
Not checked in the free run.
- cites Silvennoinen and Thorp, 2013
Not checked in the free run.
- cites Fattouh et al., 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ 7. Conclusions and ideas for further study · p. 32More recent evidence shows that the relationship between the two markets is time-varying.
“More recent evidence shows that the relationship between the two markets is timevarying.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ 6.1. Oil price forecasting · p. 29There are only three studies that examine the informational content of stock markets when forecasting oil prices.
“There are only three studies that examine the informational content of stock markets when forecasting oil prices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ 6.3. Econometric methods and data used · p. 32It is typical for authors to use WTI or Brent crude oil prices to measure oil price returns and volatility.
“In terms of data, it is typical for authors to use WTI or Brent crude oil prices to measure oil price returns and volatility.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ 5.3. Econometric methods and data used · p. 28Several different methods and different sets of data have been employed in the aforementioned studies.
“It is evident from the aforementioned studies that several different methods have been employed, as well as different sets of data.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationnone given§ 5.2. Time-varying relationship between oil and stock market volatility · p. 27The evidence reported in previous sections does not capture possible heterogeneous relationships between oil price and stock market volatilities over different time periods.
“Thus far, the evidence reported in the previous sections does not capture possible heterogeneous relationships between oil price and stock market volatilities over different time periods.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 5.3. Econometric methods and data used · p. 28G7 countries and aggregate European stock market indices have also been considered in the literature.
“Nevertheless, G7 countries and aggregate European stock market indices have been also considered.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone given§ 7. Conclusions and ideas for further study · p. 32There are various channels that impact firm cash flow and/or their discount rates.
“There are various channels that impact firm cash flow and/or their discount rates.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ 6.3. Econometric methods and data used · p. 32There is not much consistency in the measurement of oil price volatility, given that authors use both conditional and realized oil price volatilities.
“Finally, there is not much consistency in the measurement of oil price volatility given that authors use both conditional and realized oil price volatilities.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 5.3. Econometric methods and data used · p. 29Studies that consider the time-varying relationship between the two market volatilities also consider the Spillover Index and Connectedness Index by Diebold and Yilmaz (2012 and 2014).
“However, studies which consider the time-varying relationship between the two market volatilities also consider the newly developed Spillover Index and Connectedness Index by Diebold and Yilmaz (2012 and 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Diebold and Yilmaz (2012 and 2014)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 5.3. Econometric methods and data used · p. 28The existing literature primarily uses aggregate stock markets for the US and GCC countries.
“In terms of stock market data, the existing literature primarily uses aggregate stock markets for the US and GCC countries.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ 5.3. Econometric methods and data used · p. 28A small number of studies consider sectoral indices, but only for the US and Europe.
“Finally, a small number of studies consider sectoral indices, but only for the US and Europe.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Interpretationreasoning§ 7. Conclusions and ideas for further study · p. 32For oil-exporting countries, the reverse applies: higher oil prices lead to higher stock market returns.
“The reverse applies for oil-exporting countries.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ 5.3. Econometric methods and data used · p. 28Studies use both Brent and WTI crude oil prices, although WTI is more commonly employed.
“More specifically, studies use both Brent and WTI crude oil prices, although the latter is more commonly employed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ 7. Conclusions and ideas for further study · p. 33There is a small number of studies that have evaluated the information content of stock markets in forecasting both oil prices and oil price volatility.
“Furthermore, despite the importance of oil prices for the global economy, the linkages between oil and stock markets (either in returns or in volatilities), as well as the fact that these markets exhibit a dynamic relationship, there is a small number of studies that have evaluated the information content of stock markets in forecasting both oil prices and oil price volatility.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ 5.3. Econometric methods and data used · p. 29The volatility measure most commonly used in the studies is conditional volatility rather than realized volatility.
“Finally, the volatility measure that is most commonly used in the studies is conditional volatility, rather than the realized volatility.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
There are no perfect substitution effects between production factors for oil-consuming firms.
“assuming that there are no perfect substitution effects between production factors, see Basher and Sadorsky, 2006”
The authors state this as an assumption.
A central bank follows some type of rule.
“Assuming that a central bank follows some type of rule”
The authors state this as an assumption.
A central bank is highly credible.
“Assuming a highly credible central bank”
The authors state this as an assumption.
Consumption and government purchases are complements.
“Assuming that consumption and government purchases are considered complements”
The authors state this as an assumption.
Consumption and government purchases are substitutes.
“if consumption and government purchases are regarded as substitutes”
The paper relies on this without support.
The income effect is generally larger than the production effect in oil-exporting economies.
“The income effect is generally larger than the production effect in oil exporting economies”
The authors state this as an assumption.
The monetary authority tries to counteract potential increases in inflation by reducing the supply of money.
“Assuming that the monetary authority tries to counteract potential increases in inflation by reducing the supply of money”
The authors state this as an assumption.
The monetary authority of the oil-exporting economy responds with contractionary monetary policy.
“Assuming that the monetary authority of the oilexporting economy responds with contractionary monetary policy”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
When oil prices go up, the stock market goes down.
“Some studies, starting with [32] and [33], say that when oil prices go up, the stock market goes down.”
From Dynamics of economic growth in ASEAN-5 countries: a panel ARDL approach (2024) · cites this paper as [32]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Norway is described as both an oil-exporter and an oil-importer
MinorThe discussion identifies Norway as the oil-exporter in the Norway-Korea comparison, then attributes a result for the Norwegian stock market to the country's oil-importing character.
“Norway is an oil-exporter, whereas Korea is an oilimporting country.”
“the effects are more prevalent for the Norwegian stock market, given the oilimporting character of the country.”
Oil-price forecasting section says three studies but discusses four
MinorSection 6.1 discusses Chen (2014), Baumeister et al. (2015), Yin and Yang (2016), and Degiannakis and Filis (2017b). Its stated count of three is inconsistent with that list.
“There are only three studies that examine the informational content of stock markets when forecasting oil prices.”
“Chen (2014) and Yin and Yang (2016) use predictive regression models 10 , whereas Baumeister et al . (2015) and Degiannakis and Filis (2017b) employ a Mixed-Data Sampling (MIDAS) framework”
Conclusion limits reverse volatility effects to the US despite GCC evidence
MinorThe conclusion says stock-market volatility affects oil-price volatility only for the US. Earlier, the paper reports such an effect for Saudi Arabia and, in a separate GCC study, reports that stock-market volatility positively affects oil-price volatility.
“Oil price volatility exercises a significant effect on stock market volatility, whereas the reverse holds true only in the case of the US market.”
“Similarly, stock market volatility positively affects oil price volatility, although these effects disappear during tranquil periods.”
Six sectoral indices are claimed but only five are named
MinorThe list contains Financials, Industrials, Consumer Services, Health Care, and Technology-five indices, not six.
“six US sectoral stock market indices”
“Financials, Industrials, Consumer Services, Health Care and Technology”
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- Authors
- Degiannakis, S., Filis, G., & Arora, V.
- Affiliations
- Panteion University (GR)
- Venue
- The Energy Journal
- Publisher
- SAGE Publications
- Published
- 2018-09
- Volume
- 39
- Issue
- 5
- Pages
- 85-130
- ISSN
- 0195-6574 (ISSN-L)
- 1944-9089
- OpenAlex
- W2888423870
- Semantic Scholar
- 1ae4b04fbe0665784503a2407b6fecfb68c611d6
- Cited by
- 298
- References
- 179
- Citations by year
- 2026: 30 · 2025: 45 · 2024: 52 · 2023: 48 · 2022: 48 · 2021: 36 · 2020: 26 · 2019: 10 · 2018: 3
- FWCI
- 28.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Energy Journal (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Market Dynamics and Volatility
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
- Keywords
- oil prices, stock market, oil price shocks, oil price volatility, stock market volatility, oil-importing countries, oil-exporting countries, asymmetric price effects, oil price forecasting, stock market indices, sectoral stock indices, firm-level data
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
Statistics and arithmetic are recomputed, not judged.
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