Robust Estimation of Vector Autoregression (VAR) Models Using Genetic Algorithms

摘要

In this paper we present an implementation of a Vector autoregression (VAR) estimation model using Genetic Algorithms. The algorithm was implemented in R and compared to standard estimation models using least squares. A numerical example is presented to outline advantages of the GA approach.