Cited by 298Market Dynamics and VolatilityFinancial Markets and Investment StrategiesEconomics of Agriculture and Food Markets

Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence

Degiannakis, Stavros, Filis, George, Arora, Vipin·2018·The Energy Journal

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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Written from the paper’s full text.

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.

Integrity signals

Registry

Crossref · 10.5547/01956574.39.5.sdeg

Cites

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Statistics

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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.”
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    Findingown data
    § 1. Introduction · p. 2

    The 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.”
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    Findingnone given
    § Abstract · p. 1

    Causal 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.”
    Quote in the paperSubstantial claim
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    Findingnone given
    § Abstract · p. 1

    The 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. 11

    The 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. 14

    There 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. 14

    The 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. 14

    The 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. 9

    There 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. 12

    The 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. 11

    Summarizing 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. 10

    Sectors 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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    • cites Narayan and Sharma (2011)

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    Findingcitation
    § 3.1.1. Aggregate, sectoral and firm level analysis · p. 11

    The 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. 11

    Increased 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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    • cites Phan et al. (2015)

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    Findingcitation
    § 3.1.2. Symmetric and asymmetric effects · p. 12

    There 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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    • cites Broadstock et al. (2014)

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    Findingcitation
    § 3.2. Econometric methods and data used · p. 16

    Studies 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. 16

    Authors 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. 22

    The 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.”
    Quote in the paperSubstantial claim
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    Interpretationreasoning
    § 2.1 Stock valuation channel · p. 3

    Oil-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. 4

    Rising 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. 4

    Increased 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. 4

    Due 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. 5

    Under 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. 5

    In 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. 6

    If 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. 5

    Lower 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. 5

    Positive 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. 14

    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.

    “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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    • cites Antonakakis and Filis (2013)

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    Premisecitation
    § 3.1.2. Symmetric and asymmetric effects · p. 13

    Negative 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. 14

    During 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. 5

    An 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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    • cites Svensson, 2005 and 2006

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    Premisecitation
    § 3.1.2. Symmetric and asymmetric effects · p. 13

    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.

    “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.”
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    • cites Jiménez-Rodríguez (2015)

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    Interpretationreasoning
    § 2.4. Fiscal channel · p. 6

    Assuming 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.”
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    Premisecitation
    § 3.1.3. Oil-importing countries and oil-exporting countries · p. 14

    Oil 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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    • cites Al Janabi et al. (2010)

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    Interpretationreasoning
    § 2.4. Fiscal channel · p. 6

    In 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. 13

    Oil 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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    • cites Mohanty et al. (2011)

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    Interpretationreasoning
    § 2.5. Uncertainty channel · p. 6

    Increased 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. 6

    As 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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    • cites Chuku et al., 2010

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    Premisecitation
    § 2.4. Fiscal channel · p. 6

    Increased 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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    • cites Dohner, 1981

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    Interpretationreasoning
    § 2.3. Output channel · p. 5

    An 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. 13

    Before 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.”
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    • cites Tsai's (2015)

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    Premisecitation
    § 2.5. Uncertainty channel · p. 6

    Uncertainty 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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    • cites Bernanke 1983

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    Premisecitation
    § 3.1.4. Time-varying relationship · p. 14

    A 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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    • cites Miller and Ratti (2009)

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    Interpretationreasoning
    § 2.3. Output channel · p. 5

    Lower 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. 17

    Aggregate 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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    • cites Kilian (2008b, 2009)

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    Premisecitation
    § 4.3. Econometric methods and data used · p. 24

    Increasing (decreasing) freight rates may indicate higher (lower) global demand.

    “To put it simply, increasing (decreasing) freight rates may indicate higher (lower) global demand.”
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    • cites Kilian (2009)

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    Premisecitation
    § 3.1.4. Time-varying relationship · p. 15

    The 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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    • cites Awartani and Maghyereh (2013)

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    Premisecitation
    § 4.1. Defining oil price shocks · p. 17

    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).

    “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).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hamilton (2009a, 2009b)

      Not checked in the free run.

  • May combine two claims.

    Interpretationreasoning
    § 4.2.1. Aggregate, sectoral and firm level analysis · p. 18

    Positive 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.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 5. Relationship between oil price volatility and stock market volatility · p. 25

    Huang 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.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Huang et al. (1996)

      Not checked in the free run.

  • May combine two claims.

    Premisecitation
    § 4.2.3. Time-varying relationship · p. 23

    The 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”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Filis et al. (2011)

      Not checked in the free run.

  • May combine two claims.

    Premisecitation
    § 4.2.1. Aggregate, sectoral and firm level analysis · p. 20

    Supply-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)

      Not checked in the free run.

  • May combine two claims.

    Premisecitation
    § 4.2.1. Aggregate, sectoral and firm level analysis · p. 21

    European 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.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Degiannakis et al. (2014)

      Not checked in the free run.

  • May combine two claims.

    Interpretationcitation
    § 4.1. Defining oil price shocks · p. 18

    Oil 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)

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 4.2.2. Oil-importing countries and oil-exporting countries · p. 21

    The 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)

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4.1. Defining oil price shocks · p. 17

    There 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)

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § 4.3. Econometric methods and data used · p. 24

    The 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).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Kilian (2009)

      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. 23

    The 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)

      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. 20

    Disentangling 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)

      Not checked in the free run.

  • May combine two claims.

    Premisecitation
    § 4.2.1. Aggregate, sectoral and firm level analysis · p. 18

    Different 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)

      Not checked in the free run.

  • May combine two claims.

    Premisecitation
    § 4.3. Econometric methods and data used · p. 24

    The 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)

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 4.3. Econometric methods and data used · p. 24

    Increasing 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. 22

    Norwegian 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. 23

    In 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. 18

    OPEC 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4.1. Defining oil price shocks · p. 17

    Supply-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. 25

    Ross (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. 19

    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.

    “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. 24

    Innovations 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. 17

    Geopolitical 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. 21

    Both 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. 17

    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.

    “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. 23

    Both 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. 15

    The 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. 20

    For 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. 19

    The 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. 22

    The 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 claim
  • Classified as probably not a substantial claim.

    Premisenone given
    § 7. Conclusions and ideas for further study · p. 34

    The 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. 32

    More 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given
    § 6.1. Oil price forecasting · p. 29

    There 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given
    § 6.3. Econometric methods and data used · p. 32

    It 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisereasoning
    § 5.3. Econometric methods and data used · p. 28

    Several 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 claim
  • Classified as probably not a substantial claim.

    Interpretationnone given
    § 5.2. Time-varying relationship between oil and stock market volatility · p. 27

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given
    § 5.3. Econometric methods and data used · p. 28

    G7 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given
    § 7. Conclusions and ideas for further study · p. 32

    There 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisereasoning
    § 6.3. Econometric methods and data used · p. 32

    There 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given
    § 5.3. Econometric methods and data used · p. 29

    Studies 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. 28

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisenone given
    § 5.3. Econometric methods and data used · p. 28

    A 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 claim
  • The quote only partly states this claim.

    Interpretationreasoning
    § 7. Conclusions and ideas for further study · p. 32

    For 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisenone given
    § 5.3. Econometric methods and data used · p. 28

    Studies 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 claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given
    § 7. Conclusions and ideas for further study · p. 33

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given
    § 5.3. Econometric methods and data used · p. 29

    The 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
92 of 92
  • 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”
8 of 8

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?

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

    Minor

    The 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.

  • Oil-price forecasting section says three studies but discusses four

    Minor

    Section 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.

  • Conclusion limits reverse volatility effects to the US despite GCC evidence

    Minor

    The 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.

  • Six sectoral indices are claimed but only five are named

    Minor

    The list contains Financials, Industrials, Consumer Services, Health Care, and Technology-five indices, not six.

4 of 4

Cites

Flagged first, then by citations

Research works printed but not linked: 8

  1. Abel A.B. Bernanke B.S. (2001). Macroeconomics. Addison Wesley Longman Inc. New York.
  2. Barro R.J. (1984). Macroeconomics. Wiley and Sons New York.
  3. Brown S.J. Otsuki T. (1990). “Macroeconomic Factors and the Japanese Equity Markets: The CAPMD project ”in Japanese Capital Markets E. J. Elton and Gruber M. (eds.) New York: Harper and Row.
  4. Dohner R.S. (1981). “Energy prices economic activity and inflation: survey of issues and results.” Energy prices inflation and economic activity. Ballinger Cambridge MA.
  5. Ferson W.E., Harvey C.R. (1995). “Predictability and time-varying risk in world equity markets.” Research in Finance 13: 25-88.
  6. Hampton M. (1995). “Options.”In Managing Energy Price Risk Jameson R. (Ed.) . London 97-116.
  7. Imsirovic A. (2014). “Oil Markets in Transition and the Dubai Crude Oil Benchmark.” Oxford Institute for Energy Studies Working Paper.
  8. oil.” Journal of International Financial Markets Institutions and Money 34: 245-262. https://doi.org/10.1016/j.int-fin.2014.11.010. · DOI

Cited by

Sorted by citations

Authors
Degiannakis, S., Filis, G., & Arora, V.
Affiliations
Panteion University (GR)
Venue
The Energy Journal
Published
2018-09
Volume
39
Issue
5
Pages
85-130
ISSN
  • 0195-6574 (ISSN-L)
  • 1944-9089
OpenAlex
W2888423870
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

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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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