In light of widespread evidence of parameter instability in macroeconomic models, many time-varying parameter (TVP) models have been proposed. This paper proposes a …
Time-varying parameter (TVP) regression models can involve a huge number of coefficients. Careful prior elicitation is required to yield sensible posterior and predictive inferences. In …
In light of widespread evidence of parameter instability in macroeconomic models, many time-varying parameter (TVP) models have been proposed. This paper proposes a …
M Pfarrhofer - Journal of Forecasting, 2024 - Wiley Online Library
This paper investigates the sensitivity of forecast performance metrics to taking a real time versus pseudo out‐of‐sample perspective. I use monthly vintages of two popular datasets …
We forecast excess returns of the S &P 500 index using a flexible Bayesian econometric state space model with non-Gaussian features at several levels. More precisely, we control …