We show that government spending does play a role in shaping the yield curve which has important consequences for the cost of private and government financing. We combine government spending shock identification strategies from the fiscal macro literature with recent advancements in no-arbitrage...

We show that the design of fiscal policy does play a role in shaping the yield curve which has quantitative consequences for the cost of private and government financing. We combine government spending shock identification strategies from the fiscal macro literature with recent advancements in...

Recent studies documented a sufficient forecasting performance of shadow-rate models in the low yields environment. Moreover, it has been shown that including the macro-variables into the shadow-rate models further improves the results. We build on these findings and evaluate for the U.S....

This paper adopts a novel approach to studying the evolution of interest rate term structure over the U.S. business cycles and to predicting recessions. Applying an effective algorithm, I classify the Treasury yield curve into distinct shapes and find the less frequent shapes intrinsically...

Factor modeling is a popular strategy to induce sparsity in multivariate models as they scale to higher dimensions. We develop Bayesian inference for a recently proposed latent factor copula model, which utilizes a pair copula construction to couple the variables with the latent factor. We use...

We propose a factor state-space approach with stochastic volatility to model and forecast the term structure of future contracts on commodities. Our approach builds upon the dynamic 3-factor Nelson-Siegel model and its 4-factor Svensson extension and assumes for the latent level, slope and...

This paper studies return predictability in federal funds futures. I show that over the period 1990 to 2018, predictor variables from the literature do not consistently outperform the expectations hypothesis when evaluated out-of-sample. Further, while forecasts from advanced forecasting methods...

No-arbitrage dynamic term structure models (DTSMs) have regularly been used to estimate interest rate expectations and term premia, but are beset by an identification problem that results in inaccurate estimates. I propose the augmentation of DTSMs with overnight indexed swap (OIS) rates to...

No-arbitrage dynamic term structure models (DTSMs) have regularly been used to estimate interest rate expectations and term premia, but are beset by empirical challenges. I propose augmenting DTSMs with overnight indexed swap (OIS) rates to better estimate the decomposition along the term...