Multi-regime Markov-switching models with time-varying transition probabilities: An application to U.S. Treasury yields
When financial markets switch moods, can we predict how long they'll stay that way?
Bond market behavior shifts between different regimes—periods of stability, volatility, or trend changes—but researchers have struggled to model when those shifts occur. This study develops better statistical tools to capture these regime switches and shows that while these models can predict bond yields reasonably well, getting the timing of regime changes right is much harder than previously thought, revealing a fundamental limitation in how economists identify these transition mechanisms.
Treasury bonds underpin the U.S. financial system, influencing everything from mortgage rates to pension valuations. Better models of when bond market behavior fundamentally shifts would help investors, central banks, and policymakers anticipate dangerous transitions—like shifts toward persistent volatility—rather than getting caught off guard. However, this paper's finding that transition timing mechanisms are nearly impossible to pin down statistically suggests that even sophisticated models may give false confidence in predicting exactly when the next regime change will strike.