This paper is concerned with statistical inference and model evaluation in possibly misspecified and unidentified linear asset-pricing models estimated by maximum likelihood and one-step generalized method of moments. Strikingly, when spurious factors (that is, factors that are uncorrelated with...

This paper develops tests of the null hypothesis of linearity in the context of autoregressive models with Markov-switching means and variances. These tests are robust to the identification failures that plague conventional likelihood-based inference methods. The approach exploits the moments of...

We propose a new finite sample corrected variance estimator for the linear generalized method of moments (GMM) including the one-step, two-step, and iterated estimators. Our formula additionally corrects for the over-identification bias in variance estimation on top of the commonly used finite...

This paper proposes a simple, fairly general, test for global identification of unconditional moment restrictions implied from point-identified conditional moment restrictions. The test is based on the Hausdorff distance between an estimator that is consistent even under global identification...

When Barret and Donald (2003) in Econometrica proposed a consistent test of stochastic dominance, they were silent about the asymptotic unbiasedness of their tests against (square root) n-converging Pitman local alternatives. This paper shows that when we focus on first-order stochastic...

In the world of multivariate extremes, estimation of the dependence structure still presents a challenge and an interesting problem. A procedure for the bivariate case is presented that opens the road to a similar way of handling the problem in a truly multivariate setting. We consider a...

This paper discusses a bootstrap-based test that checks if finite moments exist and indicates cases of possible misapplication. It notes, in fact, that a procedure for finding the smallest power to which a sample needs to be raised, such that the test rejects a hypothesis that the corresponding...

In the paper, we consider generalized method of moments (GMM) and propose statistics to test relevance, conditional relevance and redundancy of moment conditions, as well as they modifications to check if moment conditions help with identification of a particular set of unknown parameters. The...

Two main approaches are commonly used to empirically evaluate linear factor pricing models: regression and stochastic discount factor (SDF) methods, with centered and uncentered versions of the latter. We show that unlike standard two-step or iterated generalized method of moments (GMM)...