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Predictive Power of Inferred Fed Surprises

September 10, 2026
By: Derin Aksit, Nan Zhang
Summary

Federal Reserve (Fed) policy expectations are a major driver of financial markets, yet traditional measures of Fed surprises are only available around FOMC announcements. This paper develops “inferred Fed surprises”, a real-time framework that extracts changes in expected Fed policy from daily movements in interest rate markets, allowing investors to monitor how monetary policy expectations evolve between official policy decisions. We show that these inferred surprises contain valuable information for market participants: cumulative signals help anticipate the direction of future FOMC-day movements in rates and FX, while signals generated around key economic releases, such as inflation and employment reports, identify trading opportunities arising from delayed adjustments in rates and FX markets. The result is a practical and systematic approach for translating evolving Fed policy expectations into actionable investment signals across both monetary policy and macroeconomic news events.

 

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Author Bios
Derin Aksit
Derin Askit is Assistant Vice President and Quantitative Researcher at State Street Markets
Nan Zhang
Nan Zhang is Managing Director and Head of Investment Research at State Street Data Intelligence
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1. Peter L. Bernstein Award for Best Article in an Institutional Investor Journal in 2013; Bernstein-Fabozzi/Jacobs-Levy Award for Outstanding Article in the Journal of Portfolio Management in 2006, 2009, 2011, 2013 (2), 2014, 2015, 2016, 2021; Graham & Dodd Scroll Award for article in the Financial Analysts Journal in 2002 and 2010. Roger F. Murray First Prize for Research Presented at the Q Group Conference in 2012, 2021, 2023. Harry M. Markowitz Award for Best Paper in the Journal of Investment Management in 2022, 2023. Doriot Award for Best Private Equity Research Paper in 2022.