Wealthy individual investors and stock markets' tail risk.

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...

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Main Authors: He Yu, Rong Lu, Hu Yang, Bin Zhang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282173&type=printable
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author He Yu
Rong Lu
Hu Yang
Bin Zhang
author_facet He Yu
Rong Lu
Hu Yang
Bin Zhang
author_sort He Yu
collection DOAJ
description 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.
format Article
id doaj-art-236ce395c13747a489e46d4e7355e36e
institution Kabale University
issn 1932-6203
language English
publishDate 2024-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-236ce395c13747a489e46d4e7355e36e2025-01-08T05:33:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01195e028217310.1371/journal.pone.0282173Wealthy individual investors and stock markets' tail risk.He YuRong LuHu YangBin ZhangThis 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282173&type=printable
spellingShingle He Yu
Rong Lu
Hu Yang
Bin Zhang
Wealthy individual investors and stock markets' tail risk.
PLoS ONE
title Wealthy individual investors and stock markets' tail risk.
title_full Wealthy individual investors and stock markets' tail risk.
title_fullStr Wealthy individual investors and stock markets' tail risk.
title_full_unstemmed Wealthy individual investors and stock markets' tail risk.
title_short Wealthy individual investors and stock markets' tail risk.
title_sort wealthy individual investors and stock markets tail risk
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282173&type=printable
work_keys_str_mv AT heyu wealthyindividualinvestorsandstockmarketstailrisk
AT ronglu wealthyindividualinvestorsandstockmarketstailrisk
AT huyang wealthyindividualinvestorsandstockmarketstailrisk
AT binzhang wealthyindividualinvestorsandstockmarketstailrisk