Testing for latent factors in models with autocorrelation and heteroskedasticity of unknown form

Abstrakt

This article considers the problem of testing for latent factors or reduced rank in a broad class of (multivariate linear stationary) time-series models, wherein model errors have autocorrelation and heteroskedasticity of unknown form