An in depth study of the pricing of Game contingent claims under a general diffusion market model, in which interest rate is non constant, is presented. With the idea of providing a few numerical examples of the valuation of such claims, we present a detailed description of a Bootstrapping...

In most developing countries, historically, the main strategy for improving the food sector has focused on increasing farm-level production. But in recent years, with the emphasis on value chain analysis, there has been much more focus on subsector studies, demand-driven approaches, and...

In a cross-border M&A framework, the question and measurement of financial synergy can be important in the analysis of the transaction and consideration needs to be given to whether the specific cross-border financial risks outweigh operational synergies. This paper develops a diffusion model to...

Economics

We analyze several exotic options of American style in a multiple prior setting and study the optimal exercise strategy from the perspective of an ambiguity averse buyer in a discrete time model of Cox-Ross-Rubinstein style. The multiple prior model relaxes the assumption of a known distribution...

I consider continuous time asset pricing models with stochastic differential utilityincorporating decision makers' concern with ambiguity on true probability measure.In order to identify and estimate key parameters in the models, I use a novel econometricmethodology developed recently by Park...

In this dissertation, I propose that, post-action, people tend to be more optimistic about outcomes when their actions were based on malleable (vague) information compared to when their actions were based on unmalleable (precise) information. However, pre-action, no such difference occurs. I...

In two experiments, decision makers chose between risky and ambiguous gambles under conditions of both single (unrepeated) and multiply repeated choices. The gambles were presented either as modified Ellsberg urn choices or as marketing strategy decisions. In both experiments, decision makers...

We develop a theory of optimal stopping problems under ambiguity in continuous time. Using results from (backward) stochastic calculus, we characterize the value function as the smallest (nonlinear) supermartingale dominating the payoff process. For Markovian models, we derive an adjusted...

We model and solve Best Choice Problems in the multiple prior framework: An ambiguity averse decision maker aims to choose the best among a fixed number of applicants that appear sequentially in a random order. The decision faces ambiguity about the probability that a candidate - a relatively...