Stock Market Returns and Oil Price Shocks: A CoVaR Analysis based on Dynamic Vine Copula Models

Julia Kielmann, Hans Manner () and Aleksey Min ()
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Julia Kielmann: Technical University of Munich, Germany
Hans Manner: University of Graz, Austria
Aleksey Min: Technical University of Munich, Germany

No 2021-01, Graz Economics Papers from University of Graz, Department of Economics

Abstract: Crude oil plays a significant role in economic developments in the world. Understanding the relationship between oil price changes and stock market returns helps to improve portfolio strategies and risk positions. Kilian (2009) proposes to decompose the oil price into three types of oil price shocks by using a structural vector autoregression (SVAR) model. This paper investigates the dynamic, non-linear dependence and risk spillover effects between BRICS stock returns and the different types of oil price shocks using an appropriate multivariate and dynamic copula model. Risk is measured using the conditional Value-at-Risk, conditioning on one or more simultaneous oil and stock market shocks. For this purpose, a D-vine based quantile regression model and the GAS copula model are combined. Our results show, inter alia, that the early stages of the Covid-19 crisis leads to increasing risk levels in the BRICS stock markets except for the Chinese one, which has recovered quickly and therefore shows no changes in the risk level.

Keywords: Oil prices; risk management; time-varying copula; D-vine copula; CoVaR. (search for similar items in EconPapers)
JEL-codes: C12 C32 C52 C53 (search for similar items in EconPapers)
Date: 2021-01
New Economics Papers: this item is included in nep-cwa, nep-ene, nep-fmk, nep-ore and nep-rmg
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Citations: View citations in EconPapers (6)

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