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Does alternative data reduce stock price crash risk? Evidence from third-party online sales disclosure in China

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  • Li, Qian
  • Liu, Shangqun

Abstract

This study empirically investigates the effect of releasing alternative data on firm-specific price crash risk. Using the public launch of a firm's third-party online sales data in a well-known Chinese financial database as an exogenous shock, we find that stock price crash risk significantly decreases with the disclosure of third-party online sales data. The results are robust to a series of endogeneity corrections and robustness checks. We also find that the reduction of stock price crash risk is due to the decrease in managers' bad news withholdings and the increase in the accuracy of market expectations. In addition, the negative association between third-party online sales disclosure and crash risk is more pronounced for firms with weaker external governance, higher earnings volatility, greater likelihood of sales manipulation, and lower book-to-market ratio. Our findings yield important implications for a comprehensive understanding of the information disclosure effect of online sales data in the capital market and the mechanisms to reduce stock price crash risk.

Suggested Citation

  • Li, Qian & Liu, Shangqun, 2023. "Does alternative data reduce stock price crash risk? Evidence from third-party online sales disclosure in China," International Review of Financial Analysis, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:finana:v:88:y:2023:i:c:s1057521923002119
    DOI: 10.1016/j.irfa.2023.102695
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