The uncertainty of U.S. core inflation, measured by the stochastic volatility of forecast errors, has soared to a level …

VARs. To address these issues, we propose VAR models with outlier-augmented stochastic volatility (SV) that combine … transitory and persistent changes in volatility. The resulting density forecasts are much less sensitive to outliers in the data … the pandemic period, as well as for earlier subsamples of relatively high volatility. In historical forecasting, outlier …

This paper proposes a Skewed Stochastic Volatility (SSV) model to model time varying, asymmetric forecast distributions … to estimate Growth at Risk as introduced in Adrian, Boyarchenko, and Giannone's (2019) seminal paper "Vulnerable Growth … volatility and asymmetric measurement densities. Estimating the model based on US data yields conditional forecast densities that …

This paper compares alternative estimation procedures for multi-level factor models which imply blocks of zero …

to overestimate the number of jumps in yield spreads and puts the coherence of test results at risk. We formalize the …

We extend the canonical income process with persistent and transitory risk to shock distributions with left …-skewness and excess kurtosis, to which we refer as higher-order risk. We estimate our extended income process by GMM for household … show that in a standard incomplete-markets life-cycle model, first, higher-order risk has sizable welfare implications …