We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model is calibrated at a quarterly frequency for ten European countries. We also use maximum-likelihood estimates and Bayesian estimates to account for parameter uncertainty. We find...

Despite clear evidence of correlations between financial and medical statuses and decisions, most models treat financial and health-related choices separately. This paper bridges this gap by proposing a tractable dynamic framework for the joint determination of optimal consumption, portfolio...

Richer and healthier agents tend to hold riskier portfolios and spend proportionally less on health expenditures. Potential explanations include health and wealth e ffects on preferences, expected longevity or disposable total wealth. Using HRS data, we perform a structural estimation of a...

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 due to the curse of dimensionality. We describe a statistical technique, which we call Moment Component Analysis (MCA), that extends...

Reference-dependent preference models assume that agents derive utility from deviations of consumption from benchmark levels, rather than from consumption levels. These references can be either backward-looking (as explicit in the Habit literature) or forward-looking (as implicitly suggested by...

The aim of this paper is to investigate long-term portfolio management in a fully structural macro- financial framework. First, we estimate a Dynamic Stochastic General Equilibrium (DSGE) model that describes the dynamic of the US economy and financial markets. In addition to the typical...

We build a macroeconomic model for Switzerland, the Euro Area, and the USA that drives the dynamics of several asset classes and the liabilities of a representative Swiss (defined-contribution) pension fund. This encompassing approach allows us to generate correlations between returns on assets...

We find evidence that hedge funds significantly manipulate stock prices on critical reporting dates. We document that stocks held by hedge funds experience higher returns on the last day of the quarter, followed by a reversal the next day. For example, the stocks in the top quartile of hedge...

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 sighifiant cost would arise. The performance...