This paper examines the preferred-habitat theory under time-varying risk aversion. The predicted positive relation between the term spread and relative supply of longer-term debt is stronger when risk aversion is high. To capture this effect, a time-varying coefficient model is introduced and...

A Phillips Curve (PC) framework is utilized to study the challenging post-1985 disinflation process in Israel. The estimated PC is stable and has forecasting power. Based on endogenous structural break tests we find that actual and expected inflation are co-breaking. We argue that the step-like...

In the academic literature, the economic interpretation of stock market volatility is inherently ambivalent, being considered an indicator of either information flow or uncertainty. We show in a stylized model economy that both views suggest volatility-dependent cross-market spillovers. If...

We propose a shadow-rate term structure model for the euro area yield curve from 1999 to mid-2015, when bond yields had turned negative at various maturities. Yields in the model are constrained by a lower bound, but - as a special feature of our specification - the bound is allowed to change...

We propose an arbitrage-free shadow-rate term structure model to analyze the euro-area yield curve from 1999 to mid-2015, when bond yields turned negative at various maturities. In the model the 'shadow rate' can reach any positive or negative level, while the actual one-month rate cannot fall...

Inflation risk premiums tend to be positive in an economy mainly hit by supply shocks, and negative if demand shocks dominate. Risk premiums also fluctuate with risk aversion. We shed light on this nexus in a linear-quadratic equilibrium macrofinance model featuring time variation in...

This paper studies a nonlinear one-factor term structure model in discrete time. The single factor is the short-term interest rate, which is modeled as a self-exciting threshold autoregressive (SETAR) process. Our specification allows for shifts in the intercept and the variance. The process is...