When volatility turns, recessions follow

Do shifts into high stock-market volatility foreshadow recessions rather than merely accompany them? Prior work shows volatility rises in downturns and can help shorthorizon forecasts, but the timing of discrete volatility regime changes relative to business-cycle turning points is less understood. Using quarterly data for the United States, United Kingdom, Japan, Germany, Italy, and France (1960–2019; country-specific start dates), we estimate a bivariate Markov-switching model that jointly classifies high/low output growth and high/low return volatility, and tests restrictions on the transition structure. In the United States, United Kingdom, Japan, and France, entry into the high-volatility state typically precedes recession onset by one to two quarters. For Germany and Italy, the output and volatility state processes are approximately independent. These results suggest that volatility-regime switches are a mediumhorizon early-warning signal, consistent with uncertainty and risk-premium repricing that tighten funding conditions in more market-based financial systems. • Volatility regime shifts often precede recessions in four of six economies. • A bivariate Markov-switching model jointly tracks growth and volatility regimes. • Likelihood ratio tests compare independence, volatility-leads, and growth-leads. • Germany and Italy show near-independence between output and volatility states. • Volatility switches offer a medium-horizon early-warning signal for downturns.

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Publication Details

Journal
Economic Modelling
Published
2026-03-23
DOI
https://doi.org/10.1016/j.econmod.2026.107588
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
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article

When volatility turns, recessions follow

Economic Modelling
Financial Risk and Volatility Modeling
article

When volatility turns, recessions follow

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Abstract

Do shifts into high stock-market volatility foreshadow recessions rather than merely accompany them? Prior work shows volatility rises in downturns and can help shorthorizon forecasts, but the timing of discrete volatility regime changes relative to business-cycle turning points is less understood. Using quarterly data for the United States, United Kingdom, Japan, Germany, Italy, and France (1960–2019; country-specific start dates), we estimate a bivariate Markov-switching model that jointly classifies high/low output growth and high/low return volatility, and tests restrictions on the transition structure. In the United States, United Kingdom, Japan, and France, entry into the high-volatility state typically precedes recession onset by one to two quarters. For Germany and Italy, the output and volatility state processes are approximately independent. These results suggest that volatility-regime switches are a mediumhorizon early-warning signal, consistent with uncertainty and risk-premium repricing that tighten funding conditions in more market-based financial systems. • Volatility regime shifts often precede recessions in four of six economies. • A bivariate Markov-switching model jointly tracks growth and volatility regimes. • Likelihood ratio tests compare independence, volatility-leads, and growth-leads. • Germany and Italy show near-independence between output and volatility states. • Volatility switches offer a medium-horizon early-warning signal for downturns.

Economic ModellingVol. 159
University of Messina (IT), Universidad Torcuato Di Tella (AR), University of Campania "Luigi Vanvitelli" (IT), Brunel University of London (GB), Massachusetts Institute of Technology (US)
Decent work and economic growth
Openalex Percentile: Top 14%
Financial Risk and Volatility Modeling
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