Measuring Investor Sentiment
Guofu Zhou ()
Additional contact information
Guofu Zhou: Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130, USA
Annual Review of Financial Economics, 2018, vol. 10, issue 1, 239-259
Abstract:
Investor sentiment indicates how far an asset value deviates from its economic fundamentals. In this article, we review various measures of investor sentiment based on market, survey, and text and media data. There is ample evidence that sentiment can explain returns on stocks that are difficult to value and costly to arbitrage, such as unprofitable stocks, non-dividend-paying stocks, extreme growth stocks, and distressed stocks. However, much remains to be done. We discuss three issues for future research: aggregating measures over various sources and various time horizons, linking investor sentiment to technical analysis, and statistically modeling the evolution of investor sentiment.
Keywords: sentiment; investor optimism; investor survey; textual analysis; technical analysis; predictability; behavioral finance (search for similar items in EconPapers)
JEL-codes: C58 G12 G14 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (67)
Downloads: (external link)
https://doi.org/10.1146/annurev-financial-110217-022725 (application/pdf)
Full text downloads are only available to subscribers. Visit the abstract page for more information.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:anr:refeco:v:10:y:2018:p:239-259
Ordering information: This journal article can be ordered from
http://www.annualreviews.org/action/ecommerce
Access Statistics for this article
More articles in Annual Review of Financial Economics from Annual Reviews Annual Reviews 4139 El Camino Way Palo Alto, CA 94306, USA.
Bibliographic data for series maintained by http://www.annualreviews.org ().