Investor Sentiment and Market Risk in China: An Empirical Analysis Based on the CSI Sentiment Index

With the development of behavioral finance, the influence of investor sentiment on financial market risk has attracted increasing attention. Using data from the CSI 300 Index and the CSI Investor Sentiment Index, this study employs regression models to examine the effects of investor sentiment on market volatility and downside risk, measured by Value at Risk (VaR). The empirical results reveal a significant negative relationship between investor sentiment and subsequent VaR, suggesting that higher investor sentiment is associated with greater potential downside risk. Quantile regression analysis further confirms the robustness of this relationship across different risk levels. In addition, market conditions significantly moderate the relationship between investor sentiment and market risk, with the impact becoming more pronounced during bearish market periods. These findings suggest that investor sentiment may serve as a useful forward-looking indicator of financial market risk. Incorporating sentiment-based measures into financial risk monitoring and early-warning systems may therefore help improve market risk management and financial regulation.

Authors

Institutions

Publication Details

Journal
International Journal of World Economic Research
Published
2026-11-02
DOI
https://doi.org/10.54097/4c4xfa65
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investor Sentiment and Market Risk in China: An Empirical Analysis Based on the CSI Sentiment Index

Tong Li
International Journal of World Economic Research
Financial Markets and Investment Strategies
article

Investor Sentiment and Market Risk in China: An Empirical Analysis Based on the CSI Sentiment Index

Tong Li
article en

Abstract

With the development of behavioral finance, the influence of investor sentiment on financial market risk has attracted increasing attention. Using data from the CSI 300 Index and the CSI Investor Sentiment Index, this study employs regression models to examine the effects of investor sentiment on market volatility and downside risk, measured by Value at Risk (VaR). The empirical results reveal a significant negative relationship between investor sentiment and subsequent VaR, suggesting that higher investor sentiment is associated with greater potential downside risk. Quantile regression analysis further confirms the robustness of this relationship across different risk levels. In addition, market conditions significantly moderate the relationship between investor sentiment and market risk, with the impact becoming more pronounced during bearish market periods. These findings suggest that investor sentiment may serve as a useful forward-looking indicator of financial market risk. Incorporating sentiment-based measures into financial risk monitoring and early-warning systems may therefore help improve market risk management and financial regulation.

International Journal of World Economic ResearchVol. 3(3)
Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 12%
Financial Markets and Investment Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Investor Sentiment and Market Risk in China: An Empirical Analysis Based on the CSI Sentiment Index — Tong Li · International Journal of World Economic Research (2026) | TGRS Research Map | TGRS