Wavelets are a useful analytical tool to study economic decisions on different times scales. Wavelets are particular types of function that are localized both in time and frequency domain and used to decompose a function f(x) (i.e. a signal, a surface, a series, etc..) into more elementary...

We develop extensions of the variance-ratio statistic for testing the hypothesis a time series is uncorrelated and investigate their finite-sample performance. The tests employ an estimator of the asymptotic covariance matrix of the sample autocorrelations that is consistent under the null for...

Grandmont (1985) found that the parameter space of even the simplest, most classical models are stratified into bifurcation regions. Barnett and He (1999,2002) subsequently found transcritical, codimension-two, and Hopf bifurcation boundaries within the parameter space of the policy-relevant...

In this paper we examine the usefulness of multivariate semi-parametric GARCH models for portfolio selection under a Value-at-Risk (VaR) constraint. First, we specify and estimate several alternative multivariate GARCH models for daily returns on the S\&P 500 and Nasdaq indexes. Examining the...

We show that a class of microeconomic behavioral models with interacting agents, introduced by Kirman (1991,1993), can replicate the empirical long-memory properties of the two first conditional moments of financial time series. The essence of these models is that the forecasts and thus the...