IDEAS home Printed from https://ideas.repec.org/a/blg/journl/v18y2023i1p118-128.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://magazines.ulbsibiu.ro/eccsf/RePEc/blg/journl/18107jude.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. 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.
    7. 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.
    8. Ewing, Bradley T. & Malik, Farooq, 2017. "Modelling asymmetric volatility in oil prices under structural breaks," Energy Economics, Elsevier, vol. 63(C), pages 227-233.
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amira, Khaled & Taamouti, Abderrahim & Tsafack, Georges, 2011. "What drives international equity correlations? Volatility or market direction?," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 1234-1263, October.
    2. Zhao, Yixiu & Upreti, Vineet & Cai, Yuzhi, 2021. "Stock returns, quantile autocorrelation, and volatility forecasting," International Review of Financial Analysis, Elsevier, vol. 73(C).
    3. Ederington, Louis H. & Guan, Wei, 2010. "How asymmetric is U.S. stock market volatility?," Journal of Financial Markets, Elsevier, vol. 13(2), pages 225-248, May.
    4. Robert T. Daigler & Ann Marie Hibbert & Ivelina Pavlova, 2014. "Examining the Return–Volatility Relation for Foreign Exchange: Evidence from the Euro VIX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(1), pages 74-92, January.
    5. Hisham Al Refai & Gazi Mainul Hassan, 2018. "The Impact of Market-wide Volatility on Time-varying Risk: Evidence from Qatar Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 239-258, August.
    6. Dzieliński, Michał & Rieger, Marc Oliver & Talpsepp, Tõnn, 2018. "Asymmetric attention and volatility asymmetry," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 59-67.
    7. Smith, Geoffrey Peter, 2016. "Weekday variation in the leverage effect: A puzzle," Finance Research Letters, Elsevier, vol. 17(C), pages 193-196.
    8. Turgut Kısınbay, 2010. "Predictive ability of asymmetric volatility models at medium-term horizons," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3813-3829.
    9. Pratap Chandra Pati & Prabina Rajib & Parama Barai, 2017. "A behavioural explanation to the asymmetric volatility phenomenon: Evidence from market volatility index," Review of Financial Economics, John Wiley & Sons, vol. 35(1), pages 66-81, November.
    10. Yiguo Sun & Ximing Wu, 2018. "Leverage and Volatility Feedback Effects and Conditional Dependence Index: A Nonparametric Study," JRFM, MDPI, vol. 11(2), pages 1-20, June.
    11. Pal, Debdatta, 2022. "Does hospitality industry stock volatility react asymmetrically to health and economic crises?," Economic Modelling, Elsevier, vol. 108(C).
    12. Thakolsri, Supachok & Sethapramote, Yuthana & Jiranyakul, Komain, 2015. "Asymmetric volatility of the Thai stock market: evidence from high-frequency data," MPRA Paper 67181, University Library of Munich, Germany.
    13. Pati, Pratap Chandra & Rajib, Prabina & Barai, Parama, 2017. "A behavioural explanation to the asymmetric volatility phenomenon: Evidence from market volatility index," Review of Financial Economics, Elsevier, vol. 35(C), pages 66-81.
    14. Patricia Chelley-Steeley & James Steeley, 2005. "The leverage effect in the UK stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 15(6), pages 409-423.
    15. Xilong Chen & Eric Ghysels, 2011. "News--Good or Bad--and Its Impact on Volatility Predictions over Multiple Horizons," Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 46-81, October.
    16. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    17. Dufour, Jean-Marie & García, René & Taamouti, Abderrahim, 2008. "Measuring causality between volatility and returns with high-frequency data," UC3M Working papers. Economics we084422, Universidad Carlos III de Madrid. Departamento de Economía.
    18. Agbeyegbe, Terence D., 2015. "An inverted U-shaped crude oil price return-implied volatility relationship," Review of Financial Economics, Elsevier, vol. 27(C), pages 28-45.
    19. Siem Jan Koopman & Eugenie Hol Uspensky, 2002. "The stochastic volatility in mean model: empirical evidence from international stock markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 667-689.
    20. Jensen, Mark J. & Maheu, John M., 2014. "Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture," Journal of Econometrics, Elsevier, vol. 178(P3), pages 523-538.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:blg:journl:v:18:y:2023:i:1:p:118-128. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mihaela Herciu (email available below). General contact details of provider: https://edirc.repec.org/data/feulbro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.