scispace - formally typeset
Open AccessJournal ArticleDOI

Investor sentiment aligned: : A powerful predictor of stock returns

TLDR
This article proposed a new investor sentiment index that is aligned with the purpose of predicting the aggregate stock market by eliminating a common noise component in sentiment proxies, the new index has much greater predictive power than existing sentiment indices have both in and out of sample, and the predictability becomes both statistically and economically significant.
Abstract
We propose a new investor sentiment index that is aligned with the purpose of predicting the aggregate stock market. By eliminating a common noise component in sentiment proxies, the new index has much greater predictive power than existing sentiment indices have both in and out of sample, and the predictability becomes both statistically and economically significant. In addition, it outperforms well-recognized macroeconomic variables and can also predict cross-sectional stock returns sorted by industry, size, value, and momentum. The driving force of the predictive power appears to stem from investors' biased beliefs about future cash flows.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Tail Risk Premia and Return Predictability

TL;DR: In this paper, the variance risk premium, defined as the difference between the actual and risk-neutral expectations of the forward aggregate market variation, is used to predict future market returns.
Journal ArticleDOI

Manager sentiment and stock returns

TL;DR: This article found that manager sentiment is a strong negative predictor of future aggregate stock market returns, with monthly in-sample and out-of-sample R2s of 9.75% and 8.38%, respectively, which is far greater than the predictive power of other previously studied macroeconomic variables.
Posted Content

Tail Risk Premia and Return Predictability

TL;DR: This paper showed that the variance risk premium, defined as the difference between actual and risk-neutralized expectations of the forward aggregate market variation, helps predict future market returns, and that much of this predictability may be attributed to time variation in the shape of the tails and compensation demanded by investors for bearing jump tail risk.
References
More filters
Book

Judgment Under Uncertainty: Heuristics and Biases

TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.
Journal ArticleDOI

A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity

Halbert White
- 01 May 1980 - 
TL;DR: In this article, a parameter covariance matrix estimator which is consistent even when the disturbances of a linear regression model are heteroskedastic is presented, which does not depend on a formal model of the structure of the heteroSkewedness.
Book

A Theory of Cognitive Dissonance

TL;DR: Cognitive dissonance theory links actions and attitudes as discussed by the authors, which holds that dissonance is experienced whenever one cognition that a person holds follows from the opposite of at least one other cognition that the person holds.
Book

General Theory of Employment, Interest and Money

TL;DR: In this article, a general theory of the rate of interest was proposed, and the subjective and objective factors of the propensity to consume and the multiplier were considered, as well as the psychological and business incentives to invest.
Related Papers (5)
Trending Questions (1)
Can sentiment indicators predict stock prices?

Yes, the new investor sentiment index proposed in the paper has greater predictive power for stock returns, both in and out of sample.