We analyze Texas Shootout clauses within an independent private values framework and characterize shareholders' preferences over proposer and chooser roles. While the mechanism can generate efficiency gains relative to the status quo, asymmetries in role payoffs may deter shareholders from...

We study the ambiguity-adjusted return distribution induced by an investor with smooth ambiguity preferences 'a la Klibano! et al. (2005), who faces uncertainty about the variance of asset returns. The variance uncertainty is modeled using a gamma distribution, a second-order prior over the...

This paper develops an axiomatic framework for decision making when preferences depend not only on the current alternative but also on the past frequency with which alternatives have been chosen. We identify key independence axioms that characterize frequency-dependent preferences. In addition,...

We study a dynamic model of a non-life insurance portfolio. The foundation of the model is a compound Poisson process that represents the claims side of the insurer. To introduce clusters of claims appearing, e.g. with catastrophic events, this process is time-changed by a Lévy subordinator....

We continue the analysis of Cephoids. A Cephoid is a Minkowski sum of finitely many standardized simplices ("deGua simplices''). Pareto faces of a Cephoid are maximal polyhedra facing "outward''. A Pareto face consists of an algebraic sum of subsimplices of the deGua Simplices involved, the...

We investigate and axiomatize preferences that display indifference between deterministic states, but exhibit strict orderings over lotteries over these states. Such preferences might be due to the ability to adopt to states, or a (dis)taste for uncertainty. We derive a representation theorem...

In this paper, we study an intertemporal utility maximization problem in which an investor chooses consumption and portfolio strategies in the presence of a stochastic factor and a no-borrowing constraint. In the spirit of the Kim-Omberg model, the stochastic factor represents the excess return...

In ergodic singular stochastic control problems, a decision-maker can instantaneously adjust the evolution of a state variable using a control of bounded variation, with the goal of minimizing a long-term average cost functional. The cost of control is proportional to the magnitude of...

We study mean-field games of optimal stopping (OS-MFGs) and introduce an entropy-regularized framework to enable learning-based solution methods. By utilizing randomized stopping times, we reformulate the OS-MFG as a mean-field game of singular stochastic controls (SC-MFG) with entropy...