This paper compares alternative methods for approximating and solving the stochastic growth model with parameterized expectations. We compare polynomial and neural netowork specifications for expectations, and we employ both genetic algorithm and gradient-descent methods for solving the...

This paper compares three approximation methods for solving and simulating real business cycle models: linear quadratic (including log- linear quadratic) methods, the method of parameterized expectations, and the genetic algorithm. Linear quadratic (LQ), log-linear quadratic (log- LQ) and...

This paper compares alternative estimates of systemic time-varying excess returns for the Irish pound and the Spanish peseta, against the German mark, since 1985. We make use of progressively more complex models, going from the GARCH in Mean specification, to the International Capital Asset...