Gram-Charlier expansion have become popular in Finance as a generalization over the normality assumption. Even though Gram-Charlier expansions allow for a certain flexibility over skewness and kurtosis they have the unfortunate drawback of sometimes yielding negative densities. The goal of this...

The paper is a simplified exposition of an early combined phase I-phase II method for linear programming. The method works from an infeasible start. Besides, there is no need for regularity conditions if the method is applied to a primal-dual formulation.

The estimation of regression models subject to exact linear restrictions, is a widely applied technique, however, aside from simple examples, the reparameterization method is rarely employed except in the case of polynomial lags. We believe this is due to lack of a general transformation method...

The class of neighbour games is the intersection of the class of assignment games (cf. Shapley and Shubik (1972)) and the class of component additive games (cf. Curiel et al. (1994)). For assignment games and component additive games there exist polynomially bounded algorithms or order p4 for...

Adaptive Polar Sampling (APS) is proposed as a Markov chain Monte Carlo method for Bayesian analysis of models with ill-behaved posterior distributions. In order to sample efficiency from such a distribution, location-scale transformation and a transformation to polar coordinates are used.

This paper develops statistical and computational tools for modelling returns forecasts to be used by a risk neutral investor. Any forecast with the same sign as the conditional mean optimises the loss function derived from this agents' decision problem, so the class of optimal predictors is...

We apply the stochastic evolutionary approach of equilibrium selection to macroeconomic models in which a complementarity at the macro level is present. These models often exhibit multile Pareto-ranked Nash equilibria , and the best response-correspondence of an individual increases with a...

We consider financial contracts that are tradable in any quantities at fixed prices. A bundle of such contracts constitutes an arbitrage if it offers non-negative payoff in any future state, but commands negative present cost. This article brings together fairly recent results on how to find an...

In this paper, we define and study a new class of optimal stochastic control problems which is closely related to the theory of Backward SDE's and forward-backward SDE's. The controlled process takes values in RXR and a given initial data for X(O). Then, the control problem is to find the...

Sequential meta heuristic implementations for the irregular stock-cutting problem have highlighted a number of common problems. The implementation in this paper adopts a hybrid tabu search approach that incorporates two very different optimisation routines which utilise alternative neighborhoods...