Explaining the single factor bias of arbitrage pricing models in finite samples

This paper shows that in finite samples it is not possible to distinguish all the latent factors from the idiosyncratic noise and that this leads to a bias towards the identification of a single factor. It provides an approximation to this bias and the corresponding sampling distribution.