Using various techniques, Cox and Leland (1982,2000), Dybvig (1988a, 1988b), Vanduffel et al. (2009) and Bernard and Boyle (2010) have shown that in onedimensional markets, complex (path-dependent) contracts are generally not optimal for rational consumers. In this paper, we generalise these...

In this paper insurance claims are priced using an indifference pricing principle. We first revisit the traditional economic framework and then extend it to include the presence of a complete financial market. In this context we derive lower bounds for claims' prices, and these bounds correspond...

We first study mean-variance efficient portfolios when there are no trading constraints and show that optimal strategies perform poorly in bear markets. We then assume investors use a stochastic benchmark (linked to the market) as a reference portfolio. We derive mean-variance efficient...

In standard portfolio theories such as Mean-Variance optimization, Expected Utility Theory, Rank Dependent Utility Theory, Yaari's Dual Theory and Cumulative Prospect Theory, the worst outcomes for optimal strategies occur when the market declines (e.g, during crises), which is at odds with the...

We derive the optimal portfolio for an expected utility maximizer whose utility does not only depend on terminal wealth but also on some random benchmark (state-dependent utility). We then apply this result to obtain the optimal portfolio of a loss-averse investor with a random reference point...

Model-based decisions are highly sensitive to model risk that arises from the inadequacy of the adopted model. This paper reviews the existing literature on model risk assessment and shows how to use the theoretical results to develop a corresponding best practice. Specifically, we develop tools...

We construct an algorithm that makes it possible to numerically obtain an investor's optimal portfolio under general preferences. In particular, the objective function and risks constraints may be driven by benchmarks (reflecting state-dependent preferences). We apply the algorithm to various...

We study optimal investment strategies under the objective of maximizing the Omega ratio, proposed by Keating and Shadwick (2002) as an alternative to the Sharpe ratio for performance assessment of investment strategies. We show that in a standard set-up of the financial market the problem is...

Robustness of risk measures to changes in underlying loss distributions (distributional uncertainty) is of crucial importance when making well-informed risk management decisions. In this paper, we quantify for any given distortion risk measure its robustness to distributional uncertainty by...

We study properties of the Rearrangement Algorithm (RA) in the context of inferring dependence among variables given their marginal distributions and the distribution of the sum. We show that the RA yields solutions that are “close to each other” and exhibit almost maximum entropy. The...