Investor Sentiment in the Stock Market

Author:

Baker Malcolm1,Wurgler Jeffrey2

Affiliation:

1. Associate Professor of Finance, Harvard Business School, Boston, Massachusetts; Faculty Research Fellows, National Bureau of Economic Research, Cambridge, Massachusetts.

2. Associate Professor of Finance, Stern School of Business, New York University, New York, New York; Faculty Research Fellows, National Bureau of Economic Research, Cambridge, Massachusetts.

Abstract

Investor sentiment, defined broadly, is a belief about future cash flows and investment risks that is not justified by the facts at hand. The question is no longer whether investor sentiment affects stock prices, but how to measure investor sentiment and quantify its effects. One approach is “bottom up,” using biases in individual investor psychology, such as overconfidence, representativeness, and conservatism, to explain how individual investors underreact or overreact to past returns or fundamentals The investor sentiment approach that we develop in this paper is, by contrast, distinctly “top down” and macroeconomic: we take the origin of investor sentiment as exogenous and focus on its empirical effects. We show that it is quite possible to measure investor sentiment and that waves of sentiment have clearly discernible, important, and regular effects on individual firms and on the stock market as a whole. The top-down approach builds on the two broader and more irrefutable assumptions of behavioral finance—sentiment and the limits to arbitrage—to explain which stocks are likely to be most affected by sentiment. In particular, stocks that are difficult to arbitrage or to value are most affected by sentiment.

Publisher

American Economic Association

Subject

Economics and Econometrics,Economics and Econometrics

Cited by 2464 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Time-varying risk aversion and international stock returns;The North American Journal of Economics and Finance;2025-01

2. MD&A tone and stock returns;Journal of Contemporary Accounting & Economics;2024-12

3. Headlines or Hashtags? The battle in social media for investor sentiment in the stock market;International Journal of Information Management Data Insights;2024-11

4. Influence and predictive power of sentiment: Evidence from the lithium market;Finance Research Letters;2024-10

5. Recession fears and stock markets: An application of directional wavelet coherence and a machine learning-based economic agent-determined Google fear index;Research in International Business and Finance;2024-10

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