Macroeconomic Shocks and Cross-sectional Stock Returns
A new study finds that macroeconomic shocks, such as changes in monetary policy, credit supply, oil prices, and fiscal policy, explain 5% to 50% of stock return variation—far more than previously believed. Using advanced models and 50 years of data, researchers show these shocks affect industries and investment strategies differently. Some drive market mispricing, while others impact fundamentals. The paper sets a new standard for causal analysis but leaves open questions about correcting or worsening mispricing.
What it examines
This paper studies how different macroeconomic shocks—like changes in monetary policy, credit supply, oil prices, and fiscal policy—affect stock returns across industries and portfolios. Using advanced statistical methods, it shows these shocks have strong, causal impacts on both aggregate and cross-sectional stock returns.
What it concludes
The results show macroeconomic shocks significantly shape stock market returns and can help explain asset pricing anomalies. This research can be used to improve investment strategies, risk management, and economic forecasting. Future work should explore whether these shocks help correct market mispricing or make it persist.
Evidence objects
Innovative methods set a new standard for causal inference in finance, but questions remain about whether shocks correct or worsen mispricing, with some results sensitive to control variable choices.
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The studys dynamic factor model reveals that different shocks uniquely impact industries and investment strategies, driving both behavioral anomalies and fundamental factors such as value and profitability in surprising ways.
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New research finds macroeconomic shockslike monetary policy, oil prices, and fiscal changesexplain 5% to 50% of stock return variation, far more than previously believed, using 50 years of data.
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This paper offers original causal evidence that diverse macroeconomic shocks significantly predict cross-sectional stock returns, using dynamic factor models and local projections over 1968--2024. Its novel monthly shock series and comprehensive approach explain 5--50% of residual variance, advancing asset pricing research. While impactful, it does not introduce a new paradigm.
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Raw abstract and provenance
return anomalies. Keywords: Cross-Sectional Stock Returns, Anomalies, Empirical Asset Pricing, Macroeconomic Shocks. Suggested Citation: Suggested Citation.
Source row: 1273 · abstract type: snippet