Measuring extreme risk of sustainable financial system using GJR-GARCH model trading data-based

Xiaomeng Ma, Ruixian Yang, Dong Zou and Rui Liu

International Journal of Information Management, 2020, vol. 50, issue C, 526-537

Abstract: This paper investigates the role of gold as a safe haven for stock markets and the US dollar by examining the extreme risk spillovers. The extreme risk is measured by Value at Risk (VaR), which is estimated by GJR-GARCH model based on skewed t distribution. Two test statistics of one-way and two-way Granger causality in risk are used to detect extreme risk spillovers. In general, the empirical results show that there are negative extreme risk spillovers between gold and stock markets and between gold and foreign exchange markets of US dollar, which indicate that gold can act as an effective safe haven against extreme stock and US dollar exchange rate movements. In addition, the global financial crisis can affect the safe haven role of gold.

Keywords: Extreme risk spillover; Value at Risk; Safe haven; Granger causality in risk; Global financial crisis (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:50:y:2020:i:c:p:526-537

DOI: 10.1016/j.ijinfomgt.2018.12.013

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