Oil shocks and stock market volatility: New evidence

Xinjie Lu, Feng Ma, Jiqian Wang and Bo Zhu

Energy Economics, 2021, vol. 103, issue C

Abstract: This paper investigates the effect of oil shocks on U.S. stock market volatility based on a new hybrid model that combines the least absolute shrinkage and selection operator (LASSO) with the Markov regime-switching model (MS-LASSO). Considering five oil shocks, the results show that the LASSO method containing Markov regime-switching improves forecasting accuracy from the statistical and economic perspectives. These results are confirmed in robustness checks of alternative evaluation method, alternative forecasting horizons, and alternative historical years. Moreover, we find that the net price increase indicator (NPI2) is an effective oil shock, while the large price increase (LPI) has nearly no influence during the sample period. Furthermore, we find that oil shocks have time-varying performance, which highlights the importance of considering regime switching.

Keywords: Oil shocks; Stock market volatility; Volatility forecast; LASSO; Markov regime switching (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (37)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:103:y:2021:i:c:s0140988321004394

DOI: 10.1016/j.eneco.2021.105567

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