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Can the probability of extreme returns be the basis for profitable portfolios? Evidence from China

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  • Fan, Ruixin
  • Xiong, Xiong
  • Gao, Ya

Abstract

Based on the generalized logit predicting model from Jang and Kang (2019), this paper estimates the ex-ante probability of extreme returns and finds that the significantly negative (positive) influence of the predicted crash (jackpot) probability is robust, whether based on the traditional portfolio construction, orthogonalized portfolio construction and Fame-Macbeth cross-section regression. Further analyses show both the behavioral speculators' trading and rational investors' arbitrage limits could be the sources of mispricing caused by extreme returns. Overall, this paper applies a predicting model to estimate the probabilities of the future extreme returns, and figures out the significant influence and possible sources of the crash and jackpot probabilities in China. Portfolios based on extreme return probabilities can be profitable and steady bases for uninformed investors in the Chinese stock market.

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  • Fan, Ruixin & Xiong, Xiong & Gao, Ya, 2021. "Can the probability of extreme returns be the basis for profitable portfolios? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:finana:v:76:y:2021:i:c:s1057521921001204
    DOI: 10.1016/j.irfa.2021.101779
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    1. Chen, Kejing & Guo, Wenqi & Jiang, Lin & Xiong, Xiong & Yang, Mo, 2022. "Does time-space compression affect analyst forecast performance?," Research in International Business and Finance, Elsevier, vol. 62(C).

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