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...

Our objective is to identify the trading strategy that would allow an investor to take advantage of excessive stock price volatility and sentiment fluctuations. We construct a general-equilibrium model of sentiment. In it, there are two classes of agents and stock prices are excessively volatile...

This article analyzes the effect of liquidity risk on the performance of various hedge fund portfolio strategies. Similarly to Avramov et al. (2007), we find that, before accounting for the effect of liquidity risk, hedge fund portfolios that incorporate predictability in managerial skills...

This study deals with the dynamic hedging of single-tranche collateralized debt obligations (STCDOs). As a first step, we specify a top-down affine factor model in which a catastrophic risk component is incorporated in order to capture the dynamics of super-senior tranches. Next, we derive the...

This paper analyzes optimal prevention in a situation of multiple, possibly correlated risks. We focus on probability reduction (self-protection) so that correlation becomes endogenous. If prevention concerns only one risk, introducing a second exogenous risk increases the level of prevention...

This article aims to investigate the similarity of public and private real estate returns and risks over the relatively long horizon using data for the U.S and the U.K. The results show evidence of a one-to-one relationship between publicly traded REIT performance and privately traded direct...

We discuss risk measures representing the minimum amount of capital a financial institution needs to raise and invest in a pre-specified eligible asset to ensure it is adequately capitalized. Most of the literature has focused on cash-additive risk measures, for which the eligible asset is a...

We study the pricing and hedging of derivative securities with uncertainty about the volatility of the underlying asset. Rather than taking all models from a prespecified class equally seriously, we penalise less plausible ones based on their "distance" to a reference local volatility model. In...