The main objective of this work is to develop a general equilibrium business cycle model linking financial and real estate markets to the macroeconomy. The ability of a production economy to account simultaneously for asset pricing, business cycle and real estate market facts is then evaluated...

The New Keynesian Phillips Curve is at the center of two raging empirical debates. First, how can purely forward looking pricing account for the observed persistence in aggregate inflation. Second, price-setting responds to movements in marginal costs, which should therefore be the driving force...

This paper focuses on the robust Effcient Method of Moments (EMM) estimation of a general parametric stationary process and proposes a broad framework for constructing robust EMM statistics in this context. This extends the application field of robust statistics to very general time series...

We evaluate how non-normality of asset returns and the temporal evolution of volatility and higher moments affects the conditional allocation of wealth. We show that if one neglects these aspects, as would be the case in a mean-variance allocation, a significant cost would arise. The performance...

Driven by the rise in computational power, it has become popular to measure integrated variance with high-frequency squared returns. Though the squared return is a natural choice as a variance estimate, it is not the most efficient one for a given interval length. Extreme-value based estima-...

The recently proposed class of MixN-GARCH models, which couple a mixed normal distributional structure with linked GARCH-type dynamics, has been shown to offer a plausible decomposition of the contributions to volatility, as well as admirable out-of-sample forecasting performance, for financial...

Economic cycles are the key credit portfolio risk driver and they are autocorrelated over time. We then show that it is economically meaningful to define risk for credit portfolios in a multi period setup. Since one period expected shortfall fails to measure risk adequately in a multi period...

Demand is growing for a better understanding of how assets are priced in countries outside of the U.S.While financial data are available for many firms world-wide, it is important to have a reliable andreplicable method of constructing high-quality systematic risk factors from these data. This...

We identify local and global factors across international bond markets that arepoorly spanned by the traditional level, slope and curvature factors but havestrong forecasting power for future bond excess returns. Local and global fac-tors are jointly signicant predictors of bond returns, where...

We explore the pricing of variance risk by decomposing stocks' total variance into systematicand idiosyncratic return variances. While systematic variance risk exhibits a negative priceof risk, common shocks to the variances of idiosyncratic returns carry a large positive riskpremium. This...