PLoS ONE (Jan 2024)

Wealthy individual investors and stock markets' tail risk.

  • He Yu,
  • Rong Lu,
  • Hu Yang,
  • Bin Zhang

DOI
https://doi.org/10.1371/journal.pone.0282173
Journal volume & issue
Vol. 19, no. 5
p. e0282173

Abstract

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This paper employs a unique data set to analyze the trading behavior of wealthy individual investors across Mainland China and their impact on Chinese stock markets' tail risk. Results show that the wealthy individual investors' trading behavior can explain Chinese stock markets' tail risk, and the daily investment portfolios based on the network density of wealthy individual investors have significant excess returns. This paper also investigates the determinants of wealthy individual investors' trading behavior with the social network method and the spatial econometric model, and reveals that wealthy individuals benefit from the spillover effect of their trading behavior through the investor networks. The results of this paper not only reveal micro evidence for the formation mechanism of asset prices, but also provide insight into the behavior of wealthy individual investors.