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Tail Risk and Extreme Events: Connections between Oil and Clean Energy

Author

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  • Elisa Di Febo

    (Department of Economics, “G.d’Annunzio” University of Chieti-Pescara, Viale Pindaro 42, 65127 (Pescara), Italy)

  • Matteo Foglia

    (Department of Economics, “G.d’Annunzio” University of Chieti-Pescara, Viale Pindaro 42, 65127 (Pescara), Italy)

  • Eliana Angelini

    (Department of Economics, “G.d’Annunzio” University of Chieti-Pescara, Viale Pindaro 42, 65127 (Pescara), Italy)

Abstract

Do tail events in the oil market trigger extreme responses by the clean-energy financial market (and vice versa)? This paper investigates the relationship between oil price and clean-energy stock with a novel methodology, namely extreme events study. The aim is to investigate an asymmetry effect between the response to good versus bad days. The results show how the two markets influence each other more negatively, i.e., extreme negative events significantly impact the other market. Furthermore, we document how the impact of the shock transmitted by oil prices to clean-energy stocks is less than the amount of shock transmitted oppositely. These findings have important implications for investor and renewable energy policies.

Suggested Citation

  • Elisa Di Febo & Matteo Foglia & Eliana Angelini, 2021. "Tail Risk and Extreme Events: Connections between Oil and Clean Energy," Risks, MDPI, vol. 9(2), pages 1-13, February.
    • Handle: RePEc:gam:jrisks:v:9:y:2021:i:2:p:39-:d:497495
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    References listed on IDEAS

    as
    1. Manuel Monge & Luis A. Gil-Alana, 2020. "The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies," Risks, MDPI, vol. 8(4), pages 1-17, December.
    2. Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of energy prices on clean energy stock prices. A multivariate quantile dependence approach," Energy Economics, Elsevier, vol. 76(C), pages 136-152.
    3. Managi, Shunsuke & Okimoto, Tatsuyoshi, 2013. "Does the price of oil interact with clean energy prices in the stock market?," Japan and the World Economy, Elsevier, vol. 27(C), pages 1-9.
    4. Lundgren, Amanda Ivarsson & Milicevic, Adriana & Uddin, Gazi Salah & Kang, Sang Hoon, 2018. "Connectedness network and dependence structure mechanism in green investments," Energy Economics, Elsevier, vol. 72(C), pages 145-153.
    5. Goran Dominioni & Alessandro Romano & Chiara Sotis, 2019. "A Quantitative Study of the Interactions between Oil Price and Renewable Energy Sources Stock Prices," Energies, MDPI, vol. 12(9), pages 1-11, May.
    6. Henriques, Irene & Sadorsky, Perry, 2008. "Oil prices and the stock prices of alternative energy companies," Energy Economics, Elsevier, vol. 30(3), pages 998-1010, May.
    7. Lorenzo Cerboni Baiardi & Massimo Costabile & Domenico De Giovanni & Fabio Lamantia & Arturo Leccadito & Ivar Massabó & Massimiliano Menzietti & Marco Pirra & Emilio Russo & Alessandro Staino, 2020. "The Dynamics of the S&P 500 under a Crisis Context: Insights from a Three-Regime Switching Model," Risks, MDPI, vol. 8(3), pages 1-15, July.
    8. Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
    9. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    10. Huynh, Toan Luu Duc & Hille, Erik & Nasir, Muhammad Ali, 2020. "Diversification in the age of the 4th industrial revolution: The role of artificial intelligence, green bonds and cryptocurrencies," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    11. Ila Patnaik & Ajay Shah & Nirvikar Singh, 2013. "Foreign Investors under Stress: Evidence From India," International Finance, Wiley Blackwell, vol. 16(2), pages 213-244, June.
    12. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    13. Huiming Zhu & Yawei Guo & Wanhai You, 2015. "An empirical research of crude oil price changes and stock market in China: evidence from the structural breaks and quantile regression," Applied Economics, Taylor & Francis Journals, vol. 47(56), pages 6055-6074, December.
    14. Kumar, Surender & Managi, Shunsuke & Matsuda, Akimi, 2012. "Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis," Energy Economics, Elsevier, vol. 34(1), pages 215-226.
    15. Bondia, Ripsy & Ghosh, Sajal & Kanjilal, Kakali, 2016. "International crude oil prices and the stock prices of clean energy and technology companies: Evidence from non-linear cointegration tests with unknown structural breaks," Energy, Elsevier, vol. 101(C), pages 558-565.
    16. Reinhard Ellwanger & Benjamin Sawatzky & Konrad Zmitrowicz, 2017. "Factors Behind the 2014 Oil Price Decline," Bank of Canada Review, Bank of Canada, vol. 2017(Autumn), pages 1-13.
    17. Pham, Linh & Luu Duc Huynh, Toan, 2020. "How does investor attention influence the green bond market?," Finance Research Letters, Elsevier, vol. 35(C).
    18. Reboredo, Juan C., 2015. "Is there dependence and systemic risk between oil and renewable energy stock prices?," Energy Economics, Elsevier, vol. 48(C), pages 32-45.
    19. Pham, Linh, 2019. "Do all clean energy stocks respond homogeneously to oil price?," Energy Economics, Elsevier, vol. 81(C), pages 355-379.
    20. Kazemilari, Mansooreh & Mardani, Abbas & Streimikiene, Dalia & Zavadskas, Edmundas Kazimieras, 2017. "An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach," Renewable Energy, Elsevier, vol. 102(PA), pages 107-117.
    21. Dominioni, Goran & Romano, Alessandro & Sotis, Chiari, 2019. "A quantitative study of the interactions between oil price and renewable energy sources stock prices," LSE Research Online Documents on Economics 100548, London School of Economics and Political Science, LSE Library.
    22. Matteo Foglia & Eliana Angelini, 2020. "Volatility Connectedness between Clean Energy Firms and Crude Oil in the COVID-19 Era," Sustainability, MDPI, vol. 12(23), pages 1-22, November.
    23. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    24. Reboredo, Juan C. & Ugolini, Andrea, 2016. "Quantile dependence of oil price movements and stock returns," Energy Economics, Elsevier, vol. 54(C), pages 33-49.
    25. Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019. "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, vol. 80(C), pages 743-759.
    26. BumChoong Kim & Juhan Kim & Jinsoo Kim, 2019. "Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
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