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Journal of Financial Economics Vol. 175 2026

Policy news and stock market volatility

Scott Baker1,2; Nicholas Bloom3; Steven J. Davis4; Kyle Kost5

1 University of Wisconsin System · 2 University of Wisconsin–Madison · 3 Stanford, USA · 4 Hoover Institution · 5 Secretariat, USA

open access

Abstract

We use newspapers to create Equity Market Volatility (EMV) trackers at daily and monthly frequencies. Our headline EMV tracker moves closely with the VIX and the S&P500 returns volatility in and out of sample. We exploit the volume of newspaper text to construct forty category-specific EMV trackers. News about commodity markets, interest rates, real estate markets, aggregate activity, and inflation figure prominently in EMV articles. Policy news is another major source of market volatility: 30 % of EMV articles discuss tax policy, 30 % discuss monetary policy, and 25 % refer to some form of regulation. Combining our newspaper-based trackers with textual analysis of 10-K filings, we obtain monthly firm-level risk exposure measures. These measures help explain the cross-sectional structure of realized volatilities and its evolution over time, even after conditioning on firm and time fixed effects.

DOI
10.1016/j.jfineco.2025.104187
Volume
175
Pages
104187
Language
en
Sources
crossref openalex bibtex:phds-export.bib

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