Ways of finding a maximum skewness portfolio, with given return, variance and kurtosis, are presented. The methods take advantage of the special shape of the efficient portfolios manifold. Simpler solutions are obtained if the higher moments tensor has some particular structures. The problem of...

A distributed system model is studied, where individual agents engage in repeated play against each other and can change their strategies based upon previous play. Similar to Dorofeenko and Shorish (2005), it is shown how to model this environment in terms of continuous population densities...

The purpose of the paper is to derive and illustrate a new suboptimal-consistent feedback solution for infinite-horizon linear-quadratic dynamic Stackelberg games which is in the same solution space as the infinite-horizon dynamic programming feedback solution, but which puts the leader in a...

In this paper we solve a stochastic dynamic programming problem for the solution to a dynamic game in which the players select a mean level of control. The state transition dynamics are a function of the current state of the system and a multiplicative noise factor on the control variables of...

We consider a kinetic equation approach to dynamical systems with finite memory, based upon a probabilistic approach given in Dorofeenko and Shorish (2004). This approach uses a master equation methodology to analytically model the dynamics of distributed systems with many heterogeneous agents,...

We present a multi-stage stochastic programming model for managing portfolios of stock and bond indices denominated in multiple currencies. The portfolios are exposed to market risks and currency risks. Uncertainty in asset returns and exchange rates is represented by means of discrete...

The research on financial engineering by means of genetic programming is gradually popular and appealing. For example, Kaboudan (1999, 2001) and Iba and Sasaki (1999), Iba and Sasaki (1999), used standard GP to evolve forecasting models. Neely, et al. (1997), Allen and Karjalainen (1999), Fyfe...

This paper focuses on the estimation of mutual fund styles by return-based style analysis. Usually, the investment style is assumed to be either constant through time, or time variation is implicitly accounted for by using rolling regressions. The former assumption is often contradicted by data...