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Symmetric and asymmetric US sector return volatilities in presence of oil, financial and economic risks

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  • Hammoudeh, Shawkat
  • Yuan, Yuan
  • Chiang, Thomas
  • Nandha, Mohan

Abstract

This paper examines the impacts of world, country, and sector-specific variables on the stock return volatility of twenty-seven US sectors in the short- and long-run, accounting for the asymmetric shocks based on GARCH models. In the standard GARCH model the two world variables, oil and Morgan Stanley Capital Index (MSCI), have differing impacts on the US equity sector returns' volatility, with oil price dampening it while MSCI heightening it for most sectors. This result underlines the need for hedging more against world capital market risk relative to oil risk which is probably hedged by many sectors. The world and country factors' impacts are not as pervasive across the board, compared with the sector-specific impacts of the P/B ratio and trading volume which affect almost all sectors. Increases in the P/B ratio would reduce the aggregate volatility, while increases in the trading volume would heighten it for all sectors. Asymmetry of factor impacts on volatility is also found for most sectors. Most of the GARCH factor results are confirmed in the CGARCH model with the exception of the impact of interest rate on the short-lived transitory volatility. Finally, interesting econometric results on the inclusion or exclusion of trading volumes are discussed.

Suggested Citation

  • Hammoudeh, Shawkat & Yuan, Yuan & Chiang, Thomas & Nandha, Mohan, 2010. "Symmetric and asymmetric US sector return volatilities in presence of oil, financial and economic risks," Energy Policy, Elsevier, vol. 38(8), pages 3922-3932, August.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:8:p:3922-3932
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    2. Salisu, Afees A. & Raheem, Ibrahim D. & Ndako, Umar B., 2019. "A sectoral analysis of asymmetric nexus between oil price and stock returns," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 241-259.
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    7. Afees A. Salisu & Ibrahim D. Raheem & Umar B. Ndako, 2017. "A sectoral analysis of asymmetric nexus between oil and stock," Working Papers 033, Centre for Econometric and Allied Research, University of Ibadan.
    8. Syed Jawad Hussain Shahzad & Dene Hurley & Román Ferrer, 2021. "U.S. stock prices and macroeconomic fundamentals: Fresh evidence using the quantile ARDL approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3569-3587, July.
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    12. Arampatzidis, Ioannis & Dergiades, Theologos & Kaufmann, Robert K. & Panagiotidis, Theodore, 2021. "Oil and the U.S. stock market: Implications for low carbon policies," Energy Economics, Elsevier, vol. 103(C).
    13. Elyasiani, Elyas & Mansur, Iqbal & Odusami, Babatunde, 2011. "Oil price shocks and industry stock returns," Energy Economics, Elsevier, vol. 33(5), pages 966-974, September.
    14. Elyas Elyasiani & Iqbal Mansur & Babatunde Odusami, 2013. "Sectoral stock return sensitivity to oil price changes: a double-threshold FIGARCH model," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 593-612, March.
    15. Tian, Maoxi & Alshater, Muneer M. & Yoon, Seong-Min, 2022. "Dynamic risk spillovers from oil to stock markets: Fresh evidence from GARCH copula quantile regression-based CoVaR model," Energy Economics, Elsevier, vol. 115(C).
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    18. Octavian Jude & Avraham Turgeman & Claudiu Boțoc & Laura Raisa Miloș, 2023. "Volatility and Spillover Effects between Central–Eastern European Stock Markets and Energy Markets: An Emphasis on Crisis Periods," Energies, MDPI, vol. 16(17), pages 1-12, August.
    19. Alsalman, Zeina, 2016. "Oil price uncertainty and the U.S. stock market analysis based on a GARCH-in-mean VAR model," Energy Economics, Elsevier, vol. 59(C), pages 251-260.
    20. Honghai Yu & Libing Fang & Boyang Sun, 2018. "The role of global economic policy uncertainty in long-run volatilities and correlations of U.S. industry-level stock returns and crude oil," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-17, February.
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    Volatility GARCH Trading volume;

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