Linear and quadratic predictability for homogeneous bilinear time series of Hermite degree two

The linear and quadratic predictors are considered for bilinear realizable Hermite degree-2 processes. We give a sufficient condition for the equivalence of the two predictors based on the bispectrum of the noise of the best linear predictor. This gives an example, where the two predictors are equivalent but the process is not Gaussian.