It is well known that non-normality plays an important role in asset and risk management.However, handling a large number of assets has long been a challenge.In this paper, we present a statistical technique that extends Principal ComponentAnalysis to higher moments such as skewness and...

We implement a long-horizon static and dynamic portfolio allocation involvinga risk-free and a risky asset. This model is calibrated at a quarterly frequencyfor ten European countries. We also use maximum-likelihood estimates andBayesian estimates to account for parameter uncertainty. We nd that...

It is well known that the class of strong (Generalized) AutoRegressive Conditional Heteroskedasticity (or GARCH) processes is not closed under contemporaneous aggregation. This paper provides the dynamics followed by the aggregate process when the individual persistence parameters are drawn from...

Our paper addresses the correction of the aggregation bias in linear rational expectations modelswhen there is some unobserved micro-parameter heterogeneity and only macro data are available.Starting from Lewbel (1994), we propose two new consistent estimators, which rely on aexible parametric...

This paper developes a new methodology to measure conditional dependency between time series each driven by complicated marginal distributions.

This paper investigates the implications of cross-country heterogeneity within the euro area for the design of optimal monetary policy. We build an optimizing-based multi-country model (MCM) describing the euro area in which differences between structural parameters across countries are allowed....

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...