We report on progress on a Multistage Stochastic programming model for managing risks in the Danish MBS market. An issuer has the choice between adjustable and fixed rates, both types having various options. An integrated interest-rate and optimization model is needed to manage this complex...

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...

Despite much work on hedging in incomplete markets, the literature still lacks tractable dynamic hedges in plausible environments. In this article, we provide a simple solution to this problem in a general incomplete-market economy in which a hedger, guided by the traditional minimum-variance...

We implement a dynamic programming algorithm on a computational grid consisting of loosely coupled processors, possibly including clusters and individual workstations. The grid changes dynamically during the computation, as processors enter and leave the pool of workstations. The algorithm is...

Recently, Campbell and Viceira (2002) have introduced a framework that allows for dynamic decisions in asset allocation. This paper follows up their work by showing how uncertainties and expectations may affect consumption and portfolio decisions in an intertemporal dynamic framework. We use the...

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...

This paper proposes a new approach for modeling investor fear after rare disasters. The key element is to take into account that investors' information about fundamentals driving rare downward jumps in the dividend process is not perfect. Bayesian learning implies that beliefs about the...

In this paper we investigate the performance of the threshold accepting heuristic for the index tracking problem. The index tracking problem consists in minimizing the tracking error between a portfolio and a benchmark. The objective is to replicate the performance of a given index upon the...

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...