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Empirical Analysis of the Intertemporal Relationship between Downside Risk and Expected Returns: Evidence from Time†varying Transition Probability Models

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  • Cathy Yi†Hsuan Chen
  • Thomas C. Chiang

Abstract

This paper examines the intertemporal relationship between downside risks and expected stock returns for five advanced markets. Using Value†at†Risk (VaR) as a measure of downside risk, we find a positive and significant relationship between VaR and the expected return before the world financial crisis (September 2008). However, when we estimate the model using a sample after this date, the results show a negative risk–return relationship. Evidence from a two†state Markov regime†switching model indicates that as uncertainty rises, the sign of the risk–return relationship turns negative. Evidence suggests that the Markov regime†switching model helps to resolve the conflicting signs in the risk–return relationship.

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  • Cathy Yi†Hsuan Chen & Thomas C. Chiang, 2016. "Empirical Analysis of the Intertemporal Relationship between Downside Risk and Expected Returns: Evidence from Time†varying Transition Probability Models," European Financial Management, European Financial Management Association, vol. 22(5), pages 749-796, November.
  • Handle: RePEc:bla:eufman:v:22:y:2016:i:5:p:749-796
    DOI: 10.1111/eufm.12079
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    Cited by:

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    3. Chiang, Thomas C., 2019. "Economic policy uncertainty, risk and stock returns: Evidence from G7 stock markets," Finance Research Letters, Elsevier, vol. 29(C), pages 41-49.
    4. Bi, Jia & Zhu, Yifeng, 2020. "Value at risk, cross-sectional returns and the role of investor sentiment," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 1-18.
    5. Chiang, Thomas C., 2019. "Empirical analysis of intertemporal relations between downside risks and expected returns—Evidence from Asian markets," Research in International Business and Finance, Elsevier, vol. 47(C), pages 264-278.
    6. Gui, Pingshu & Zhu, Yifeng, 2021. "Value at risk and the cross-section of expected returns: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    7. Chen, Xiaoyu & Chiang, Thomas C., 2020. "Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market," Research in International Business and Finance, Elsevier, vol. 53(C).
    8. Tan, Zhengxun & Xiao, Binuo & Huang, Yilong & Zhou, Li, 2021. "Value at risk and return in Chinese and the US stock markets: Double long memory and fractional cointegration," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    9. Yang, Baochen & Ma, Yao, 2021. "Value at risk, mispricing and expected returns," International Review of Financial Analysis, Elsevier, vol. 78(C).
    10. Wang, Yu-Min & Lin, Che-Chun & Tsai, I-Chun, 2023. "State transformation of information spillover in asset markets and effective dynamic hedging strategies," International Review of Financial Analysis, Elsevier, vol. 89(C).
    11. Xie, Nan & Wang, Zongrun & Chen, Sicen & Gong, Xu, 2019. "Forecasting downside risk in China’s stock market based on high-frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 530-541.
    12. Ali, Heba, 2019. "Does downside risk matter more in asset pricing? Evidence from China," Emerging Markets Review, Elsevier, vol. 39(C), pages 154-174.

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