Monthly U.S. Economic Policy Uncertainty (EPU) Index levels and changes show no systematic relationship with next-month S&P 500 returns across quintiles; only the coincident correlation with EPU changes is negative (Jan 1985–Aug 2023; descriptive; not a trading test).
Does quantified uncertainty in government economic policy reliably predict stock market returns? To investigate, we consider the U.S. Economic Policy Uncertainty (EPU) Index, created by Scott Baker, Nicholas Bloom and Steven Davis and constructed from three components:
Coverage of policy-related economic uncertainty by prominent newspapers.
Number of temporary federal tax code provisions set to expire in future years.
Level of disagreement in one-year forecasts among participants in the Federal Reserve Bank of Philadelphia's Survey of Professional Forecasters for both (a) the consumer price index (CPI) and (b) purchasing of goods and services by federal, state and local governments.
They normalize each component by its own standard deviation prior to 2012 and then compute a weighted average of components, assigning a weight of one half to news coverage and one sixth each to tax code uncertainty, CPI forecast disagreement and government purchasing forecast disagreement. They update the index monthly at the beginning of the following month, potentially revising recent months. Using monthly levels of the EPU Index and the S&P 500 Index during January 1985 through August 2023, we find that:
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