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SSRN Electronic Journal
Article . 2023 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.20472/iac.2...
Article . 2018 . Peer-reviewed
Data sources: Crossref
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Decomposing the Investor Sentiment

Authors: Rudolf Klein; Alina Klein;

Decomposing the Investor Sentiment

Abstract

This paper analyzes the components of the influential Baker and Wurgler (BW) indices of investor sentiment and their contribution to the volatility of U.S. stock portfolios. Using the Klein ? Chow (2013) symmetric method of variance decomposition, we orthogonalize the five proxies of sentiment (dividend premium, first-day return on IPOs, number of IPOs, closed-end fund discount, and equity share in new issues) and determine the proportions of systematic risk contributed by these measures. We find that even portfolios that show no economically significant contemporaneous or lagged sensitivity to the BW indicators may still exhibit important sentiment risk, which raises serious questions about the validity of some of the proxies or the use of Principal Component Analysis to compute the sentiment indices. For instance, after controlling for the Fama ? French three factors and for momentum, for the time interval 07/1965 ? 12/2014, the first-day return on IPOs explains roughly 9.8 and 19.2 percent of the systematic variance of high 10 ? low 10 (long-short) Fama ? French portfolios formed on variance and on accruals, respectively. For the same interval and portfolios, the overall BW sentiment-levels indicator explains, respectively, 1.7 and 0.0 percent of the systematic risk.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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