We introduce a method that relies exclusively on Monte Carlo simulation in order to compute optimal portfolios. Our method is completely general and only requires complete markets and knowledge of the dynamics of the security processes. It is precise and easy to implement. It can be applied...

We introduce a model that captures the main properties that characterize employee stock options (ESO), in particular, the likelihood of early voluntary exercise and the obligation to exercise immediately if the employee leaves the firm, except if this happens before options are vested, in which...

The finance literature has shown that option grants can help to screen out low-ability executives. In this paper we develop a framework that allows us to analyze when options are likely to be optimal for this purpose. We consider a dynamic setting with asymmetric information, in which...

We show that a possible explanation for the widespread use of options in compensation contracts might be that they provide a way to screen executives. In particular, we consider the problem of a risk-neutral firm that tries to hire a risk-averse executive. There are several types of executives,...

This paper examines the impact of Olympic Sponsorship announcements on stock returns for sponsors of the ten Olympic Summer Games held between 1984 and 2020. The paper finds that sponsorship announcements are associated with an average 0.44% impact on returns on the announcement day. This...

This paper analyzes the response of the Term Structure of discount rates to the changes in the Federal Funds Target Rate. It also suggests a method of hedging fixed income portfolio's risk to the unexpected changes in monetary policy. We use two alternative widely used models of term structure...

We perform a detailed asymptotic analysis of the equilibrium behavior of the asset prices, wealth size and portfolio weights in complete markets equilibria, with long-lived funds. In equilibrium, the fund with the (closest to) log preference will dominate the other funds in size, in the...

This paper is concerned with nonlinear filtering of the coefficients in asset price models with stochastic volatility. More specifically, we assume that the asset price process $ S=(S_{t})_{t\geq0} $ is given by \[ dS_{t}=r(\theta_{t})S_{t}dt+v(\theta_{t})S_{t}dB_{t}, \] where...

We derive representations for the stock price drift and volatility in the equilibrium of agents with arbitrary, heterogeneous utility functions and with the aggregate dividend following an arbitrary Markov diffusion. We introduce a new, intrinsic characteristic of the aggregate dividend process...