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The impact of trading behavioral biases on market liquidity under different volatility levels: Evidence from the Chinese commodity futures market

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  • Qingfu Liu
  • Yiuman Tse
  • Kaixin Zheng

Abstract

This paper investigates a sample of 15 Chinese commodity futures to examine the impact of trading behavioral biases on market liquidity under different volatility levels. We construct a measure of shocks driven by news on market fundamentals to capture rational trading behavior and a measure of irrational trading behavior from excess skewness, excess kurtosis, and excess turnover. We find that herding causes deterioration in liquidity mainly by affecting order imbalance, whereas overtrading improves market liquidity by increasing market depth. The disposition effect is identified only when volatility is higher, after a distinction is made between up and down markets.

Suggested Citation

  • Qingfu Liu & Yiuman Tse & Kaixin Zheng, 2021. "The impact of trading behavioral biases on market liquidity under different volatility levels: Evidence from the Chinese commodity futures market," The Financial Review, Eastern Finance Association, vol. 56(4), pages 671-692, November.
    • Handle: RePEc:bla:finrev:v:56:y:2021:i:4:p:671-692
    DOI: 10.1111/fire.12262
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    7. Tsafack, Georges & Becker, Ying & Han, Ki, 2023. "Earnings announcement premium and return volatility: Is it consistent with risk-return trade-off?," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    8. Siu Kai Choy & Jason Wei, 2022. "Option trading and returns versus the 52‐week high and low," The Financial Review, Eastern Finance Association, vol. 57(3), pages 691-726, August.
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