We study the effects of the predictability in stock returns for the fair value of American Executive Stock Options (ESOs). By assuming a trending Ornstein-Uhlenbeck process for stock returns, we solve for the executive's optimal exercise policy using a methodology based on the least-squares...

We compare the stock return forecasting performance of alternative payout yields. The net payout yield produces more accurate forecasts relative to alternatives, including the traditional dividend yield. This remains true even after excluding several years during the Great Depression when...

Stochastic optimisation has found a fertile ground for applications in finance. One of the greatest challenges remains to incorporate a set of scenarios that accurately models the behaviour of financial markets, and in particular their behaviour during crashes and crises, without sacrificing the...

The contour map of estimation error of Expected Shortfall (ES) is constructed. It allows one to quantitatively determine the sample size (the length of the time series) required by the optimization under ES of large institutional portfolios for a given size of the portfolio, at a given...

This paper studies dividend growth predictability without restricting conditioning information set to dividend yield alone. We highlight that predictability crucially hinges on how dividend growth is constructed. Dividend growth without reinvestment is significantly predictable both in-sample...

We introduce a new class of forward performance processes that are endogenous and predictable with regards to an underlying market information set and, furthermore, are updated at discrete times. We analyze in detail a binomial model whose parameters are random and updated dynamically as the...

Measuring risk is at the center of modern financial risk management. As the world economy is becoming more complex and standard modeling assumptions are violated, the advanced artificial intelligence solutions may provide the right tools to analyze the global market. In this paper, we provide a...

The paper examines the problem of portfolio selection based on the forecasts of unknown quality in a mean-variance framework. Early work by Treynor and Black (1973) established a relationship between the correlation of forecasts, the number of independent securities available and the Sharpe...

We describe a strategy applicable to the investment part of the M6 Forecasting Competition, which maximizes the probability of securing at least the top q-th rank. This portfolio strategy can attain a comparable probability of winning as a participant capable of consistently generating...