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Keywords:out-of-sample forecasting 

Working Paper
Forecasts of inflation and interest rates in no-arbitrage affine models

In this paper, we examine the forecasting ability of an affine term structure framework that jointly models the markets for Treasuries, inflation-protected securities, inflation derivatives, and oil future prices based on no-arbitrage restrictions across these markets. On the methodological side, we propose a novel way of incorporating information from these markets into an affine model. On the empirical side, two main findings emerge from our analysis. First, incorporating information from inflation options can often produce more accurate inflation forecasts than those based on the Survey of ...
FRB Atlanta Working Paper , Paper 2016-3

Working Paper
Does Uncertainty Really Predict Recessions?

We evaluate the ability of economic uncertainty measures to forecast recessions in real time. We find that including uncertainty increases the predictive power of both in sample and out-of-sample forecast models relative to a baseline set of financial variables. A nonlinear maximum transformation of uncertainty, which captures whether a measure exceeds its maximum over the past year, improves forecast performance for some measures. Adding a contemporaneous indicator like GDP growth alongside uncertainty yields additional predictive gains. Lastly, ex post Bayesian model averaging outperforms ...
Working Papers , Paper 2026-010

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