We propose a dynamic equilibrium model of a multi-asset market with stochastic volatility and transaction costs. Our key assumption is that investors are fund managers, subject to withdrawals when fund performance falls below a threshold. This generates a preference for liquidity that is...

This paper investigates the impact of credit rating changes on the sovereign spreads in the European Union and investigates the macro and financial factors that account for the time varying effects of a given credit rating change. We find that changes of ratings are informative, economically...

We use a comprehensive database of inter-dealer quotes to conduct the first empirical analysis of the dynamics of the swaption cube. Using a model independent approach, we establish a set of stylized facts regarding the cross-sectional and time-series variation of conditional volatility and...

This article reviews the assumptions and methodologies underlying EMU probability calculators,' which infer from financial data the probability of specific countries joining the European Monetary Union. Some historical evidence is presented in support of the expectations hypothesis for...

Estimated dynamic stochastic equilibrium (DSGE) models are now widely used for empirical research in macroeconomics as well as for quantitative policy analysis and forecasting at central banks around the world. This paper reviews recent advances in the estimation and evaluation of DSGE models,...

We propose a method for solving and estimating linear rational expectations models that exhibit indeterminacy and we provide step-by-step guidelines for implementing this method in the Matlab-based packages Dynare and Gensys. Our method redefines a subset of expectational errors as new...

Dynamic Stochastic General Equilibrium (DSGE) models are often solved and estimated under specific assumptions as to whether the exogenous variables are difference or trend stationary. However, even mild departures of the data generating process from these assumptions can severely bias the...