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Investor sentiments revisited: negligence of stock-level sentiments may be a mistake

Te-Kuan Lee (Department of Accounting, Chung Yuan Christian University, Taoyuan City, Taiwan) (Department of Accounting, National Taiwan University, Taipei, Taiwan)
Askar Koshoev (College of Business, Chung Yuan Christian University, Taoyuan City, Taiwan)

Review of Behavioral Finance

ISSN: 1940-5979

Article publication date: 7 November 2023

Issue publication date: 30 April 2024

74

Abstract

Purpose

The primary objective of this research is to provide evidence that there are two distinct layers of investor sentiments that can affect asset valuation models. The first is general market-wide sentiments, while the second is biased approaches toward specific assets.

Design/methodology/approach

To achieve the goal, the authors conducted a multi-step analysis of stock returns and constructed complex sentiment indices that reflect the optimism or pessimism of stock market participants. The authors used panel regression with fixed effects and a sample of the US stock market to improve the explanatory power of the three-factor models.

Findings

The analysis showed that both market-level and stock-level sentiments have significant contributions, although they are not equal. The impact of stock-level sentiments is more profound than market-level sentiments, suggesting that neglecting the stock-level sentiment proxies in asset valuation models may lead to severe deficiencies.

Originality/value

In contrast to previous studies, the authors propose that investor sentiments should be measured using a multi-level factor approach rather than a single-factor approach. The authors identified two distinct levels of investor sentiment: general market-wide sentiments and individual stock-specific sentiments.

Keywords

Acknowledgements

The authors are grateful to Chung Yuan Christian University for all the provided support.

Citation

Lee, T.-K. and Koshoev, A. (2024), "Investor sentiments revisited: negligence of stock-level sentiments may be a mistake", Review of Behavioral Finance, Vol. 16 No. 3, pp. 460-485. https://doi.org/10.1108/RBF-02-2023-0037

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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