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Stock returns, illiquidity and feedback trading

Author

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  • Jing Chen
  • David G. McMillan

Abstract

Purpose - This study aims to examine the relation between illiquidity, feedback trading and stock returns for several European markets, using panel regression methods, during the financial and the sovereign debt crises. The authors’ interest here lies twofold. First, the authors seek to compare the results obtained here under crisis conditions with those in the existing literature. Second, and of greater importance, the authors wish to examine the interaction between liquidity and feedback trading and their effect on stock returns. Design/methodology/approach - The authors jointly model both feedback trading and illiquidity, which are typically considered in isolation. The authors use panel estimation methods to examine the relations across the European markets as a whole. Findings - The key results suggest that in common with the literature, illiquidity has a negative impact upon contemporaneous stock returns, while supportive evidence of positive feedback trading is reported. However, in contrast to the existing literature, lagged illiquidity is not a priced risk, while negative shocks do not lead to greater feedback trading behaviour. Regarding the interaction between illiquidity and feedback trading, the study results support the view that greater illiquidity is associated with stronger positive feedback. Originality/value - The study results suggest that when price changes are more observable, due to low liquidity, then feedback trading increases. Therefore, during the crisis periods that afflicted European markets, the lower levels of liquidity prevalent led to an increase in feedback trading. Thus, negative liquidity shocks that led to a fall in stock prices were exacerbated by feedback trading.

Suggested Citation

  • Jing Chen & David G. McMillan, 2020. "Stock returns, illiquidity and feedback trading," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 19(2), pages 135-145, March.
  • Handle: RePEc:eme:rafpps:raf-02-2017-0024
    DOI: 10.1108/RAF-02-2017-0024
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    Citations

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    Cited by:

    1. Pan, Changchun & Sun, Tiezhu & Mirza, Nawazish & Huang, Yuzhe, 2022. "The pricing of low emission transitions: Evidence from stock returns of natural resource firms in the GCC," Resources Policy, Elsevier, vol. 79(C).
    2. Mazza, Paolo & Wang, Shiyu, 2021. "Corporate legal insider trading in China: Performance and determinants," International Review of Law and Economics, Elsevier, vol. 68(C).
    3. Su, Chi-Wei & Mirza, Nawazish & Umar, Muhammad & Chang, Tsangyao & Albu, Lucian Liviu, 2022. "Resource extraction, greenhouse emissions, and banking performance," Resources Policy, Elsevier, vol. 79(C).

    More about this item

    Keywords

    Liquidity; Stock returns; Feedback; C22; G12;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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