Does Social Media Sentiment Matter in the Pricing of U.S. Stocks?

60 Pages Posted: 3 Feb 2021

Date Written: January 22, 2021

Abstract

This paper applies a recently developed social media-based sentiment proxy for the construction of a new risk factor for sentiment-augmented asset pricing models on U.S. equities. Accounting for endogeneity, autocorrelation and heteroskedasticity in a GMM framework, we find that the inclusion of sentiment significantly improves the performance of the five-factor model from Fama and French (2015, 2017) for di ff erent industry and style portfolios like size, value, profitability, investment. The sentiment risk premium provides the missing component in the behavioral asset pricing theory of Shefrin and Belotti (2008) and (partially) resolves the pricing puzzles of small extreme growth, small extreme investment stocks and small stocks that invest heavily despite low profitability.

Keywords: Asset pricing, behavioral finance, financial markets, investor sentiment, sentiment risk premium, GMM

JEL Classification: C32, C53, G12, G41

Suggested Citation

Koeppel, Christian, Does Social Media Sentiment Matter in the Pricing of U.S. Stocks? (January 22, 2021). Available at SSRN: https://ssrn.com/abstract=3771788 or http://dx.doi.org/10.2139/ssrn.3771788

Christian Koeppel (Contact Author)

University of St. Gallen ( email )

Langgasse 1
St. Gallen, 9008
Switzerland

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