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

Author:

Lee Te-Kuan,Koshoev AskarORCID

Abstract

PurposeThe 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/approachTo 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.FindingsThe 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/valueIn 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.

Publisher

Emerald

Subject

Strategy and Management,Finance,Accounting

Reference66 articles.

1. Anomalies or illusions? Evidence from stock markets in eighteen countries;Journal of International Money and Finance,1994

2. Cognitive dissonance, sentiment, and momentum;Journal of Financial and Quantitative Analysis,2013

3. Is CAPM a behavioral model? Estimating sentiments from rationalism;Journal of Behavioral Finance,2018

4. Market liquidity as a sentiment indicator;Journal of Financial Markets,2004

5. The equity share in new issues and aggregate stock returns;The Journal of Finance,2000

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3