During the global financial crisis, stressed market conditions led to skyrocketing corporate bond spreads that could not be explained by conventional modeling approaches. This paper builds on this observation and sheds light on time-variations in the relationship between systematic risk factors...

Space-varying regression models are generalizations of standard linear models where the regression coefficients are allowed to change in space. The spatial structure is specified by a multivariate extension of pairwise difference priors thus enabling incorporation of neighboring structures and...

This paper describes the inference procedures required to perform Bayesian inference to some multivariate econometric models. These models have a spatial component built into commonly used multivariate models. In particular, the seemingly unrelated regression and vector autoregressive models are...

To simultaneously consider mixed-frequency time series, their joint dynamics, and possible structural changes, we introduce a time-varying parameter mixed-frequency VAR. To keep our approach from becoming too complex, we implement time variation parsimoniously: only the intercepts and a common...

Financial repression lowers the return on government debt and contributes, all else equal, towards its liquidation. However, its full effect on the debt-to-GDP ratio hinges on how repression impacts the economy at large because it alters investment and saving decisions. We develop and estimate a...

We show that the transmission of the European Central Bank’s (ECB) recent monetary policy tightening differs across banks depending on their level of excess reserves. Specifically, the net worth of reserve-rich banks may display a boost when the interest rate paid on reserves increases...