Deconstructing the Yield Curve

A-Tier
Journal: The Review of Financial Studies
Year: 2025
Volume: 38
Issue: 2
Pages: 381-421

Authors (2)

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We introduce a novel nonparametric bootstrap for the yield curve that is agnostic to the true factor structure of interest rates. We deconstruct the yield curve into primitive objects, with weak cross-sectional and time-series dependence, that serve as building blocks for resampling the data. We analyze the properties of the bootstrap for mimicking salient features of the data and conducting valid inference. We demonstrate the benefits of our general method by revisiting the predictability of bond returns based on slow-moving fundamentals. We find that trend inflation, but not the equilibrium real rate, has predictive power for future bond returns.

Technical Details

RePEc Handle
repec:oup:rfinst:v:38:y:2025:i:2:p:381-421.
Journal Field
Finance
Author Count
2
Added to Database
2026-01-25