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...

We propose a new data-rich environment model of the yield curve, the macroeconomy, monetary policies and effective exchange rates for a panel of 11 countries: the iDREAM. The endogenous variables are observable (short- and long-term interest rates, exchange rates) and latent factors (economic...

We forecast the term structure of U.S. Treasury zero-coupon bond yields by analyzing a range of models that have been used in the literature. We assess the relevance of parameter uncertainty by examining the added value of using Bayesian inference compared to frequentist estimation techniques,...

Popular yield curve models include affine term structure models. These models are usually based on a fixed set of parameters which is calibrated to the actual financial market conditions. Under changing market conditions also parametrization changes. We discuss how parameters need to be updated...

A Bayesian factor-augmented interacted vector autoregression framework purified of expectations is employed to analyze how government spending shocks have impacted CO2 emissions in the United States from the 1980s to the pre-pandemic period. Consumption-generated emissions are found to have...

This paper develops alternative text-based indexes assessing human sentiment and economic uncertainty in the oil market. The text analysis includes the titles and full articles of 138,797 oil related news items which featured in The Financial Times, Thompson-Reuters and The Independent from...