We propose a smooth shadow-rate version of the dynamic Nelson-Siegel (DNS) model to analyze the term structure of interest rates during the recent zero lower bound (ZLB) period. By relaxing the no-arbitrage restriction, our shadow-rate model becomes highly tractable with a closed-form yield...

We propose a smooth shadow-rate version of the dynamic Nelson-Siegel (DNS) model to analyze the term structure of interest rates during the recent zero lower bound (ZLB) period. By relaxing the no-arbitrage restriction, our shadow-rate model becomes highly tractable with a closed-form yield...

Central banks resorted to asset purchase programs to replace conventional policy measures, which became ineffective after interest rates approached the zero lower bound. We investigate their effects on financial markets and focus on heterogeneous transmission using a Bayesian structural vector...

We propose a Bayesian infinite hidden Markov model to estimate time- varying parameters in a vector autoregressive model. The Markov structure allows for heterogeneity over time while accounting for state-persistence. By modelling the transition distribution as a Dirichlet process mixture model,...

This paper considers the uncertainty associated with upcoming Federal Open Market Committee (FOMC) announcements and the extent to which participants in the fed funds futures market prepare for such announcements before they actually occur. We demonstrate that markets set up well in advance of...

This paper considers the uncertainty associated with upcoming Federal Open Market Committee (FOMC) announcements and the extent to which the market begins to set up for such announcements well before they actually occur. We demonstrate that markets set up well in advance of known announcement...

This paper considers the uncertainty associated with upcoming Federal Open Market Committee (FOMC) announcements and the extent to which the market begins to set up for such announcements well before they actually occur. We demonstrate that markets set up well in advance of known announcement...