The Efficient Market Hypothesis (EMH) is one of the most investigated questions in Finance. Nevertheless, it is still a puzzle, despite the enormous amount of research it has provoked. For instance, it is still discussed that market cannot be outperformed in the long run (Detry and Gregoire,...

DSGE models are customarily built in the presence of uncertainties of various levels, such as the specification of behavioural equations of economic agents, the actual values of model parameters, and so on. When the degree of complexity of the model structure and its parameterization increases,...

Particle swarm optimization (PSO) is a population based stochastic optimization technique. PSO is similar to optimization with Genetic Algorithms (GA). In PSO, the potential solutions (particles) move through the problem space by following the current optimum particles. Experience shows that PSO...

In the standard models of North-South technological-knowledge diffusion, the larger the initial technological-knowledge gap between countries is, the higher the Southern catching up. However, this result does not adjust well to Southern reality as a whole. The purpose of this paper is to...

The problem of convexity runs deeply in economic theory. For example, increasing returns or upward slopes (convexity) and diminishing returns or downward slopes (concavity) of certain supply, demand, production and utility relations are often assumed in economics. Quite frequently, however, the...

In this paper we establish a link between the volatility of oil price shocks and a positive expected value of inflation in equilibrium (inflation premium). In doing so, we implement the perturbation method to solve up to second order a benchmark New Keynesian model with oil price shocks. In...

Recently, perturbation has received attention as a numerical method for computing an approximate solution of a nonlinear dynamic stochastic model, which we call a nonlinear rational expectations (NLRE) model. To date perturbation methods have been described and applied as single-step...

We use two stage optimal control techniques to solve some adoption problems. We first consider the case of an isolated economy, which therefore takes its decisions in exclusive accordance with its own preferences and constraints. The planner has to decide whether the economy has to switch to a...

For good reasons, it is standard practice to remove trends before linearizing a growth model. This paper explores an alternative strategy that consists in computing local approximations around successive points in the state space. Obviously this is terribly inefficiant it trend removal is...

We have developed an agent-based computational model, extension of an analytical model1 that studies the structure of coalitions of B-to-C web sites, when Internet buyers incur search costs for finding the good that matches their preferences, and coalitions of sites reduce this cost through...