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Recent Examination Of Energy Markets Volatility

Author

Listed:
  • JUDE Octavian

    (West University of Timisoara, Romania)

  • TURGEMAN Avraham

    (West University of Timisoara, Romania)

  • BOȚOC Claudiu

    (West University of Timisoara, Romania)

Abstract

The main aim of the paper is to examine if the energy market (crude oil, gas and electricity) realized volatility exhibits a symmetric or an asymmetric behaviour, for certain commodities over the period May 2012 – August 2022. We considered this time frame for data collection because it is ensuing after the extensively researched period of the financial crises that started in 2007. We took into consideration the STOXX Europe 600 index representing large, mid and small capitalization companies across 17 countries from the European Union. Subsidiary we want to examine if there are similarities in term of realized volatility between energy markets and equity markets. For energy markets the results are consistent with the leverage hypothesis of the asymmetric volatility, i.e. negative and positive returns with the same magnitude have different impact on volatility. Furthermore the volatility is more sensitive to its lagged values in the market place than it is to new information. In addition, for the entire period volatility is asymmetric for both energy and equity markets, but there are different sub-periods with different results. These results reinforce the diversification principle that must be considered in portfolio and risk management process.

Suggested Citation

  • JUDE Octavian & TURGEMAN Avraham & BOȚOC Claudiu, 2023. "Recent Examination Of Energy Markets Volatility," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 18(1), pages 118-128, April.
    • Handle: RePEc:blg:journl:v:18:y:2023:i:1:p:118-128
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    References listed on IDEAS

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    1. Campbell, John Y. & Hentschel, Ludger, 1992. "No news is good news *1: An asymmetric model of changing volatility in stock returns," Journal of Financial Economics, Elsevier, vol. 31(3), pages 281-318, June.
    2. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    3. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Xu, Weiju & Ma, Feng & Chen, Wang & Zhang, Bing, 2019. "Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States," Energy Economics, Elsevier, vol. 80(C), pages 310-320.
    6. Tim Bollerslev & Julia Litvinova & George Tauchen, 2006. "Leverage and Volatility Feedback Effects in High-Frequency Data," Journal of Financial Econometrics, Oxford University Press, vol. 4(3), pages 353-384.
    7. Ewing, Bradley T. & Malik, Farooq, 2017. "Modelling asymmetric volatility in oil prices under structural breaks," Energy Economics, Elsevier, vol. 63(C), pages 227-233.
    8. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    9. José‐María Montero & Gema Fernández‐Avilés & María‐Carmen García, 2010. "Estimation of Asymmetric Stochastic Volatility Models: Application to Daily Average Prices of Energy Products," International Statistical Review, International Statistical Institute, vol. 78(3), pages 330-347, December.
    10. Claudiu Boţoc, 2014. "Does Volatility Respond Asymmetric To Past Shocks?," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(16), pages 1-5.
    11. Qin, Yun & Hong, Kairong & Chen, Jinyu & Zhang, Zitao, 2020. "Asymmetric effects of geopolitical risks on energy returns and volatility under different market conditions," Energy Economics, Elsevier, vol. 90(C).
    Full references (including those not matched with items on IDEAS)

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