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Published on 29 September 2024
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Dong,W. (2024). Investor Sentiment and Corporate Governance: The Role of Behavioral Biases in Stock Price Volatility and Managerial Decisions. Journal of Applied Economics and Policy Studies,10,1-5.
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Investor Sentiment and Corporate Governance: The Role of Behavioral Biases in Stock Price Volatility and Managerial Decisions

Wanchen Dong *,1,
  • 1 IESEG School of Management

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-5701/10/2024097

Abstract

Behavioural biases influence investor sentiment and behaviour, which in turn influence stock returns, stock price volatility and corporate governance structures. This paper focuses on the role of three common behavioural biases (overconfidence, herding and loss aversion) on investor behaviour, and how these biases drive inefficiencies in financial markets. Using worldwide market data from 1970 to 2019 and focusing on key events such as the 2008 financial crisis and the dot-com bubble, we investigate how these behavioural biases cause market volatility. This analysis further reinforces the importance of strong corporate governance structures such as independent boards, executive pay structures and risk management protocols that help reduce the impact of investor sentiment. The role of speculative bubbles, market overreaction and volatility clustering is also examined further, and corporate governance mechanisms are proposed to help mitigate the effects of behavioural biases on stock prices. The findings demonstrate the importance of adopting long-term corporate goals, transparency and strategies to help better manage market sentiment and safeguard shareholder value.

Keywords

investor sentiment, behavioral biases, stock price volatility, overconfidence, herd behavior

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Cite this article

Dong,W. (2024). Investor Sentiment and Corporate Governance: The Role of Behavioral Biases in Stock Price Volatility and Managerial Decisions. Journal of Applied Economics and Policy Studies,10,1-5.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal:Journal of Applied Economics and Policy Studies

Volume number: Vol.10
ISSN:2977-5701(Print) / 2977-571X(Online)

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