Çevik, Emre and Çevik, Emrah İsmail and Dibooglu, Sel and Cergibozan, Raif and Bugan, Mehmet Fatih and Destek, Mehmet Akif (2022): Connectedness and risk spillovers between crude oil and clean energy stock markets. Published in: Energy and Environment (2023)
Preview |
PDF
manuscript repec.pdf Download (333kB) | Preview |
Abstract
This research investigates the relationship between clean energy stock and oil market returns utilizing Granger predictability in distribution and quantile impulse response analysis. We find that clean energy stock returns Granger predict oil price returns during "normal times" based on the distribution's center, but not vice versa. During bullish market episodes, there is bidirectional Granger predictability between the returns of clean energy stocks and oil market returns. Nonetheless, we find that clean energy stock returns Granger predict oil returns in bearish markets without any evidence of the contrary. This indicates that oil returns cannot be used to hedge the downside risk associated with renewable energy company purchases. Quantile impulse responses for the relationship between clean energy stocks and the crude oil market reveal bidirectional and significant responses, where a negative shock during an extremely down market reveals a negative response in the other market and a positive shock during an extremely up market reveals a significant positive response. This shows that neither market can be utilized to offset risks in the other market.
Item Type: | MPRA Paper |
---|---|
Original Title: | Connectedness and risk spillovers between crude oil and clean energy stock markets |
Language: | English |
Keywords: | Clean energy returns; oil returns; risk spillovers; the hedging |
Subjects: | G - Financial Economics > G1 - General Financial Markets |
Item ID: | 117558 |
Depositing User: | Mehmet Akif Destek |
Date Deposited: | 09 Jun 2023 13:24 |
Last Modified: | 09 Jun 2023 13:24 |
References: | Ahmad, W. (2017). On the dynamic dependence and investment performance of crude oil and clean energy stocks. Research in International Business and Finance, 42, 376-389. Ahmad, W., Sadorsky, P., & Sharma, A. (2018). Optimal hedge ratios for clean energy equities. Economic Modelling, 72, 278-295. Basher, S. A., & Sadorsky, P. (2006). Oil price risk and emerging stock markets. Global finance journal, 17(2), 224-251. Behmiri, N. B., & Manera, M. (2015). The role of outliers and oil price shocks on volatility of metal prices. Resources Policy, 46, 139-150. Bodart, V., & Candelon, B. (2009). Evidence of interdependence and contagion using a frequency domain framework. Emerging Markets Review, 10(2), 140–150. Bondia, R., Ghosh, S., & Kanjilal, K. (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, 101, 558-565. Broadstock, D. C., Cao, H., & Zhang, D. (2012). Oil shocks and their impact on energy related stocks in China. Energy Economics, 34(6), 1888-1895. Bruffaerts, C., Verardi, V., & Vermandele, C. (2014). A generalized boxplot for skewed and heavy-tailed distributions. Statistics & probability letters, 95, 110-117. Bruno, M., & Sachs, J. (1982). Input price shocks and the slowdown in economic growth: the case of UK manufacturing. The Review of Economic Studies, 49(5), 679-705. Candelon, B., & Tokpavi, S. (2016). A nonparametric test for granger causality in distribution with application to financial contagion. Journal of Business & Economic Statistics, 34(2), 240-253. Cevik, E., Atukeren, E., & Korkmaz, T. (2018). Oil Prices and Global Stock Markets: A Time-Varying Causality-In-Mean and Causality-in-Variance Analysis. Energies, 11(10), 2848. Cevik, E. I., Dibooglu, S., Awad Abdallah, A., & Al-Eisa, E. A. (2021). Oil prices, stock market returns, and volatility spillovers: evidence from Saudi Arabia. International Economics and Economic Policy, 18, 157–175. Charles, A., & Darné, O. (2005). Outliers and GARCH models in financial data. Economics Letters, 86(3), 347-352. Chen, N. F., Roll, R., & Ross, S. A. (1986). Economic forces and the stock market. Journal of Business, 59(3), 383-403. Dutta, A. (2017). Oil price uncertainty and clean energy stock returns: New evidence from crude oil volatility index. Journal of Cleaner Production, 164, 1157-1166. Dutta, A., Jana, R. K., & Das, D. (2020). Do green investments react to oil price shocks? Implications for sustainable development. Journal of Cleaner Production, 266, 121956. Elie, B., Naji, J., Dutta, A., & Uddin, G. S. (2019). Gold and crude oil as safe-haven assets for clean energy stock indices: Blended copulas approach. Energy, 178, 544-553. Engle, R. F., & Manganelli, S. (2004). CAViaR: Conditional autoregressive value at risk by regression quantiles. Journal of business & economic statistics, 22(4), 367-381. Ewing, B. T., & Malik, F. (2017). Modelling asymmetric volatility in oil prices under structural breaks. Energy Economics, 63, 227-233. Ferrer, R., Shahzad, S. J. H., López, R., & Jareño, F. (2018). Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices. Energy Economics, 76, 1-20. Franses P.H., van Dijk D. (2011). GARCH, Outliers, and Forecasting Volatility. In: Gregoriou G.N., Pascalau R. (eds) Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models. Palgrave Macmillan, London. Geng, J. B., Liu, C., Ji, Q., & Zhang, D. (2021). Do oil price changes really matter for clean energy returns?. Renewable and Sustainable Energy Reviews, 150, 111429. Grané, A., & Veiga, H. (2014). Outliers, GARCH-type models and risk measures: A comparison of several approaches. Journal of Empirical Finance, 26, 26-40. Hamilton, J. D. (1983). Oil and the macroeconomy since World War II. Journal of political economy, 91(2), 228-248. Hamilton, J. D. (1988). A neoclassical model of unemployment and the business cycle. Journal of political Economy, 96(3), 593-617. Hammoudeh, S., Dibooglu, S., & Aleisa, E. (2004). Relationships among US Oil Prices and Oil Industry Equity Indices. International Review of Economics and Finance, 13: 427-453. Hong, Y., Liu, Y., & Wang, S. (2009), Granger Causality in Risk and Detection of Extreme Risk Spillover Between Financial Markets. Journal of Econometrics, 150, 271–287. IEA, International Energy Agency, https://www.iea.org/data-and-statistics/data-tables?country=WORLD&energy=Renewables%20%26%20waste&year=2018 Inchauspe, J., Ripple, R. D., & Trück, S. (2015). The dynamics of returns on renewable energy companies: A state-space approach. Energy Economics, 48, 325-335. Jiang, Y., Jiang, C., Nie, H., & Mo, B. (2019). The time-varying linkages between global oil market and China's commodity sectors: Evidence from DCC-GJR-GARCH analyses. Energy, 166, 577-586. Kaul, G., & C. M. Jones (1996). Oil and the stock markets. Journal of Finance, 51, 463–491. Kilian, L., & Park, C. (2009). The impact of oil price shocks on the US stock market. International Economic Review, 50(4), 1267-1287. Kirci Cevik, N., Cevik, E. I., & Dibooglu, S. (2020). Oil Prices, Stock Market Returns and Volatility Spillovers: Evidence from Turkey. Journal of Policy Modeling, 42, 597-614. Kocaarslan, B., & Soytas, U. (2019). Asymmetric pass-through between oil prices and the stock prices of clean energy firms: New evidence from a nonlinear analysis. Energy Reports, 5, 117-125. Kumar, S., Managi, S., & Matsuda, A. (2012). Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis. Energy Economics, 34(1), 215-226. Liu, Z., Tseng, H. K., Wu, J. S., & Ding, Z. (2020). Implied volatility relationships between crude oil and the US stock markets: Dynamic correlation and spillover effects. Resources Policy, 66, 101637. Lundgren, A. I., Milicevic, A., Uddin, G. S., & Kang, S. H. (2018). Connectedness network and dependence structure mechanism in green investments. Energy Economics, 72, 145-153. Maghyereh, A., & Abdoh, H. (2021). The impact of extreme structural oil-price shocks on clean energy and oil stocks. Energy, 225, 120209. Malik, F. (2021). Volatility spillover among sector equity returns under structural breaks. Review of Quantitative Finance and Accounting, 1-18. Managi, S., & Okimoto, T. (2013). Does the price of oil interact with clean energy prices in the stock market?. Japan and the World Economy, 27, 1-9. Mazzarisi, P., Zaoli, S., Campajola, C., & Lillo, F. (2020). Tail Granger causalities and where to find them: Extreme risk spillovers vs spurious linkages. Journal of Economic Dynamics and Control, 121, 104022. Mork, K. A. (1989). Oil and the macroeconomy when prices go up and down: an extension of Hamilton's results. Journal of political Economy, 97(3), 740-744. Nasreen, S., Tiwari, A. K., Eizaguirre, J. C., & Wohar, M. E. (2020). Dynamic connectedness between oil prices and stock returns of clean energy and technology companies. Journal of Cleaner Production, 260, 121015. Pham, L. (2019). Do all clean energy stocks respond homogeneously to oil price?. Energy Economics, 81, 355-379. Rasche, R. H., & Tatom, J. A. (1981). Energy price shocks, aggregate supply and monetary policy: The theory and the international evidence. In Carnegie-Rochester Conference Series on Public Policy (Vol. 14, pp. 9-93). North-Holland. Reboredo, J. C. (2015). Is there dependence and systemic risk between oil and renewable energy stock prices?. Energy Economics, 48, 32-45. Reboredo, J. C., Rivera-Castro, M. A., & Ugolini, A. (2017). Wavelet-based test of co-movement and causality between oil and renewable energy stock prices. Energy Economics, 61, 241-252. Sadorsky, P. (1999). Oil price shocks and stock market activity. Energy Economics, 21(5), 449-469. Sadorsky, P. (2012). Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies. Energy economics, 34(1), 248-255. Uddin, G. S., Rahman, M. L., Hedström, A., & Ahmed, A. (2019). Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes. Energy Economics, 80, 743-759. Warshaw, E. (2020). Asymmetric volatility spillover between European equity and foreign exchange markets: Evidence from the frequency domain. International Review of Economics & Finance, 68, 1-14. Wen, X., Guo, Y., Wei, Y., & Huang, D. (2014). How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China. Energy Economics, 41, 63-75. White, H., Kim, T. H., & Manganelli, S. (2015). VAR for VaR: Measuring tail dependence using multivariate regression quantiles. Journal of Econometrics, 187(1), 169-188. Yahya, M., Kanjilal, K., Dutta, A., Uddin, G. S., & Ghosh, S. (2021). Can clean energy stock price rule oil price? New evidences from a regime-switching model at first and second moments. Energy Economics, 95, 105116. Zhang, H., Cai, G., & Yang, D. (2020). The impact of oil price shocks on clean energy stocks: Fresh evidence from multi-scale perspective. Energy, 196, 11709. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/117558 |