Non-Linear Portmanteau Tests

We derive Portmanteau tests for a large class of non-linear time series models. This is done by replacing the linear measure of dependence (correlation) with a more general concept. Asymptotic distributions for the test statistics are derived. The methodology is computationally inexpensive, yet more flexible than most similar tests. The tests are evaluated on two different sets of simulated data.