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Changes in Stock Price Volatility and Monetary Policy Regimes: Evidence from Asian Countries

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  • Mehmet Ivrendi
  • Bulent Guloglu

Abstract

This paper investigates the interactions between changes in stock prices and monetary policy regimes in four emerging Asian countries—Korea, Malaysia, Singapore, and Thailand—using a Markov regime-switching autoregressive conditional heteroskedasticity (MS-ARCH) model. To connect the stability of monetary policy to stock market volatility, the authors assume that monetary policy and stock price regimes are governed by the same fundamental: the state of the economy. They find that there exists an asymmetric relationship between the volatility of stock prices and the stability of monetary policy regimes. Most of their findings are consistent with real world observations.

Suggested Citation

  • Mehmet Ivrendi & Bulent Guloglu, 2012. "Changes in Stock Price Volatility and Monetary Policy Regimes: Evidence from Asian Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S4), pages 54-70, November.
    • Handle: RePEc:mes:emfitr:v:48:y:2012:i:s4:p:54-70
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    Citations

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    Cited by:

    1. Thang, Doan Ngoc & Anh, Pham Thi Hoang & Long, Trinh & Dong, Do Phy & Dat, Luong Van, 2022. "Monetary Stance and Favorableness of Monetary Policy in the Media: The Case of Viet Nam," ADBI Working Papers 1325, Asian Development Bank Institute.
    2. Yang-Chao Wang & Jui-Jung Tsai & Qiaoqiao Li, 2017. "Policy Impact on the Chinese Stock Market: From the 1994 Bailout Policies to the 2015 Shanghai-Hong Kong Stock Connect," IJFS, MDPI, vol. 5(1), pages 1-19, January.
    3. Dridi, Ichrak & Boughrara, Adel, 2023. "Flexible inflation targeting and stock market volatility: Evidence from emerging market economies," Economic Modelling, Elsevier, vol. 126(C).
    4. Thanh, Su Dinh & Canh, Nguyen Phuc & Maiti, Moinak, 2020. "Asymmetric effects of unanticipated monetary shocks on stock prices: Emerging market evidence," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 40-55.
    5. Kang, Bo Soo & Ryu, Doojin & Ryu, Doowon, 2014. "Phase-shifting behaviour revisited: An alternative measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 167-173.
    6. Yum K. Kwan & Jinyue Dong, 2014. "Stock Price Dynamics of China: What Do the Asset Markets Tell Us About the Chinese Utility Function?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(03), pages 77-108, May.
    7. Dridi, Ichrak & Boughrara, Adel, 2021. "On the effect of full-fledged IT adoption on stock returns and their conditional volatility: Evidence from propensity score matching," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 179-194.

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