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Market pricing of liquidity risk: evidence from China

Author

Listed:
  • Raheel Safdar
  • Mirza Sultan Sikandar
  • Tanveer Ahsan

Abstract

Purpose - The purpose of this paper is to investigate whether liquidity risk (i.e. the returns’ vulnerability to the unexpected changes in overall market liquidity) is a priced risk factor in China. Moreover, it investigates the potential role of a stock’s information quality in reducing its liquidity risk during the period of post-non-tradable shares reforms in China. Design/methodology/approach - The authors collect data of all the A-share issuing firms listed either on the Shanghai Stock Exchange or Shenzhen Stock Exchange during the period 2006–2016. The authors perform two-stage cross-sectional regression testing. First, the authors perform firm-specific time-series regressions of excess returns over Fama–French’s three-factor model and a liquidity factor. Second, to test whether firm-specific liquidity risk is a priced risk factor, the authors apply Fama and MacBeth’s regressions. Findings - Firm-level asset pricing tests provide substantial evidence for market pricing of liquidity risk in China. The authors find a significant negative association between information quality and liquidity risk. The authors also find that the reduction in liquidity risk induced by better information quality is substantial enough to reduce required returns. These findings are robust to alternative measures of liquidity risk and information quality. Practical implications - The study underscores that a policy initiative to enhance the information environment can significantly reduce the market volatility in China. Originality/value - To the best of authors’ knowledge, this is the first study that considers the Shanghai Stock Exchange as well as Shenzhen Stock Exchange to investigate market pricing of liquidity risk in China.

Suggested Citation

  • Raheel Safdar & Mirza Sultan Sikandar & Tanveer Ahsan, 2019. "Market pricing of liquidity risk: evidence from China," China Finance Review International, Emerald Group Publishing Limited, vol. 9(4), pages 554-566, September.
  • Handle: RePEc:eme:cfripp:cfri-01-2019-0013
    DOI: 10.1108/CFRI-01-2019-0013
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    Citations

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    Cited by:

    1. Wang, Z. Jay & Yang, Jingyun, 2021. "Cross-trading and liquidity management: Evidence from municipal bond funds," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    2. Jun Liu & Kai Wu & Fuwei Jiang & Zhiqi Shen, 2023. "How is illiquidity priced in the Chinese stock market?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 1285-1320, April.

    More about this item

    Keywords

    China; Liquidity risk; Information quality; Asset pricing; C23; G12; G30; G32;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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