In this paper we address the problem of robust portfolio allocation under uncertainty with respect to the dependence between risky asset returns and for an ambiguity averse investor. We use the multiplier preferences framework with a penalty for ambiguity aversion that is proportional to the...

This article aims to enhance factor investing with reinforcement learning (RL) techniques. The agent learns through sequential random allocations which rely on firms' characteristics. Using Dirichlet distributions as the driving policy, we derive closed forms for the policy gradients and...

This article aims to enhance factor investing with reinforcement learning (RL) techniques. The agent learns through sequential random allocations which rely on firms' characteristics. Using Dirichlet distributions as the driving policy, we derive closed forms for the policy gradients and...

In this paper, we propose a methodology for measuring information flows underpinning option price movements, and for analyzing the distribution of these flows. We develop a framework in which flows of information can be measured in terms of relative entropy between risk-neutral distributions...

This letter applies Siniscalchi (2009)’s Vector Expected Utility to introduce ambiguity aversion into factor models for assets’ returns. The resulting criterion is tractable and its adjustment for ambiguity vanishes as initial wealth increases. Finally, it can be related to shrinkage...

This letter develops a decision criterion which takes into account parameter and model uncertainty in an optimal portfolio choice problem. This criterion is a special case of the Variational Preferences, rewritten in the Bayesian statistics notations, which specifically exploits the information...

We analyze the impact of risk and ambiguity aversion using a lifecycle recursive utility model. Both risk and ambiguity aversion are shown to reduce annuity demand and enhance bond holdings. We obtain this result using an intertemporal framework in which we can vary both risk and ambiguity...

This article aims to combine factor investing and reinforcement learning (RL). The agent learns through sequential random allocations which rely on firms' characteristics. Using Dirichlet distributions as the driving policy, we derive closed forms for the policy gradients and analytical...

This paper examines the structure of optimal insurance contracts for a broad class of insureds that includes both risk averters and risk lovers and by assuming that the insureds are prudent. We specify the difference in optimal contract form between risk averters and risk lovers. Treating these...