Narrative Asset Pricing: Interpretable Systematic Risk Factors from News Text
60 Pages Posted: 2 Aug 2021 Last revised: 9 Feb 2023
Date Written: January 14, 2022
We estimate a narrative factor pricing model from news text of The Wall Street Journal. Our empirical method integrates topic modeling (LDA), latent factor analysis (IPCA), and variable selection (group lasso). Narrative factors achieve higher out-of-sample Sharpe ratios and smaller pricing errors than standard characteristic-based factor models and predict future investment opportunities in a manner consistent with the ICAPM. We derive an interpretation of the estimated risk factors from narratives in the underlying article text.
Keywords: news, narratives, textual analysis, cross section of returns, ICAPM, factor model, IPCA, variable selection
JEL Classification: C38, C52, G11, G12
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