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

The DOI matches its Crossref record; 189 of the 189 references it cites were found in a registry or an index; none of the 99 sources its claims cite is checked for support yet.

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.

Overview

AI snapshot

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

189 of 189 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

86 Not checked yet · 42 Own interpretation · 27 No basis given · 1 Own result

Verify all 99 references — free account

Show all 64 claims

  • It may state two separate claims as one. 69
  • Probably not a substantial claim. 43
  • The quote only partly states this claim. 5
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

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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.

4 of 4

Citations

Cites

Show all 179 references

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

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Metadata

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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