Investor sentiment, Uncertainty, and Stock-market yields

Due to internal and external events, the stock market will fluctuate frequently, which makes investors face the uncertainty of the stock market. However, the majority of investors in Chinese stock market are retail investors. As an important investor noise, investors will make irrational investment behavior when the uncertainty is high. Therefore, it is necessary to analyze the correlation between uncertainty, investor sentiment and the stock market yield. Based on this, this paper chooses the Shanghai Composite Index as the research object, and uses a simple time series prediction regression to explore the prediction ability of investor sentiment to predict the cumulative excess returns of the future stock market under different degrees of stock market uncertainty. The empirical results suggest that investor sentiment, amid high stock market uncertainty, will lead to greater mispricing, thus leading to more corrections in the future.

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Publication Details

Journal
Transactions on Economics Business and Management Research
Published
2024-12-23
DOI
https://doi.org/10.62051/yezxs519
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
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article

Investor sentiment, Uncertainty, and Stock-market yields

Zhe Yang
Transactions on Economics Business and Management Research
Financial Markets and Investment Strategies
article

Investor sentiment, Uncertainty, and Stock-market yields

Zhe Yang
article en

Abstract

Due to internal and external events, the stock market will fluctuate frequently, which makes investors face the uncertainty of the stock market. However, the majority of investors in Chinese stock market are retail investors. As an important investor noise, investors will make irrational investment behavior when the uncertainty is high. Therefore, it is necessary to analyze the correlation between uncertainty, investor sentiment and the stock market yield. Based on this, this paper chooses the Shanghai Composite Index as the research object, and uses a simple time series prediction regression to explore the prediction ability of investor sentiment to predict the cumulative excess returns of the future stock market under different degrees of stock market uncertainty. The empirical results suggest that investor sentiment, amid high stock market uncertainty, will lead to greater mispricing, thus leading to more corrections in the future.

Transactions on Economics Business and Management ResearchVol. 14
Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 62%
Financial Markets and Investment Strategies
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Investor sentiment, Uncertainty, and Stock-market yields — Zhe Yang · Transactions on Economics Business and Management Research (2024) | TGRS Research Map | TGRS