Anderson & Moore describe a powerful method for solving linear saddle point models. The algorithm has proved useful in a wide array of applications including analyzing linear perfect foresight models, providing initial solutions and asymptotic constraints for nonlinear models. However, many...

This paper reports on the use of multi-agent games to model financial markets. Our research employs multi-agent games to address three questions which are of great practical importance in quantitative finance: how profit opportunities may be identified, large price movements predicted, and...

This paper presents a large-scale application of multi-agent, evolutionary modelling to the proposed new electricity trading arrangements (NETA) in the UK. This is a detailed, plant-by-plant model with an active specification of the demand side of the market. NETA involves a bilateral forwards...

In economics, numerical optimization is usually carried out using a package designed to optimize a black-box function f(x). Using a general-purpose package has many advantages, but it ignores the fact that objective functions in economics and econometrics have much in common. In particular,...

A popular argument states that most of the diversification in a portfolio can be obtained with a rather small number of securities. In this paper we present three algorithms to approach the underlying NP-hard problem of portfolio optimization with a cardinality constraint. All three of these...

The relationship between competitiveness and market performance has been discussed for a long time. In a competitive economic environment, each firm or individual is unable to influence the market. It has been mentioned in the economics courses that the competitive market is more efficient and...

This paper considers estimation and inference in panel vector autoregressions (PVARs) with fixed effects when the time dimension is finite and the cross-sectional dimension is large. A Maximum Likelihood (ML) estimator based on a transformed likelihood function is proposed and shown to be...

\\begin{abstract} Lucas (1976) pointed out, that when optimization is performed on a deterministic macro model, the resulting policy may not reflect the true optimal solution. Private agents may react to announced policies and consequently model parameters will start to drift. The aim of this...

Hansen and Jagannathan (1991) proposed a volatility bound for evaluating asset-pricing models that is a restriction on the volatility of a representative agentÌs intertemporal marginal rate of substitution (IMRS). We develop a generalization of their bound that (i) incorporates the serial...

I develop a dynamic stochastic model of individual choices about health insurance, exercise, smoking, alcohol consumption and medical treatment. The primary objective is to estimate the parameters of the model to conduct counter-factual health policy experiments. The model is estimated through...