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Volatility spillovers between real exchange rate returns and real stock price returns in Malaysia

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  • Hock Tsen Wong

Abstract

This study analyses volatility spillovers between real exchange rate returns and real stock price returns in Malaysia. The component‐generalized autoregressive conditional heteroskedasticity model with asymmetric effect is used to decompose volatility into permanent or long‐run component and transitory or short‐run component. Permanent and transitory components of volatility are commonly high in the global financial crisis, 2008. The results of the seemingly unrelated regressions framework show that volatility spillovers of permanent component between real exchange rate returns and real stock price returns are stronger than volatility spillovers of transitory component between real exchange rate returns and real stock price returns. Moreover, volatility spillovers of permanent and transitory components between real Malaysian ringgit against the U.S. dollar return and real stock price returns are stronger than real Malaysian ringgit against the Japanese yen exchange rate return and real stock price returns. There is some evidence of Granger causality between real exchange rate returns and real stock price returns. On the whole, there is some evidence of the link between the exchange rate market and the stock market in Malaysia.

Suggested Citation

  • Hock Tsen Wong, 2019. "Volatility spillovers between real exchange rate returns and real stock price returns in Malaysia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 131-149, January.
  • Handle: RePEc:wly:ijfiec:v:24:y:2019:i:1:p:131-149
    DOI: 10.1002/ijfe.1653
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    Cited by:

    1. Shaobo Long & Mengxue Zhang & Keaobo Li & Shuyu Wu, 2021. "Do the RMB exchange rate and global commodity prices have asymmetric or symmetric effects on China’s stock prices?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-21, December.
    2. Yue‐Jun Zhang & Shu‐Jiao Ma, 2021. "Exploring the dynamic price discovery, risk transfer and spillover among INE, WTI and Brent crude oil futures markets: Evidence from the high‐frequency data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2414-2435, April.
    3. Rizwan Ali & Inayat Ullah Mangla & Ramiz Ur Rehman & Wuzhao Xue & Muhammad Akram Naseem & Muhammad Ishfaq Ahmad, 2020. "Exchange Rate, Gold Price, and Stock Market Nexus: A Quantile Regression Approach," Risks, MDPI, vol. 8(3), pages 1-16, August.
    4. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    5. Dejan Živkov & Marina Gajic-Glamoclija & Jasmina Duraskovic & Mirela Momcilovic, 2022. "Assessing Permanent and Transitory Volatility Spillover Effect from Oil to Stocks in Baltic and Visegrad Countries," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(6), pages 523-542, June.

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