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A corrected Clarke test for model selection

Tuesday, May 23, 2023 - 11:00 to 12:00
Aleksey Min, Professor and Chair of Mathematical Finance, Technical University of Munich (TUM)
Statistics Seminar
ESB 4192 / Zoom

To Join via Zoom: To join this seminar virtually, please request Zoom connection details from headsec [at]

Abstract: We introduce a large family of model selection tests based on the expectation of an arbitrary, possibly non-smooth, parametric criterion function of the data. It covers the case of strictly locally non-nested models and some overlapping models. The asymptotic theory of the proposed test statistic will be presented. A general exchangeable bootstrap scheme allows the evaluation of its limiting law as well as its asymptotic variance. In a simulation study, we empirically verify the distributional approximation of our test statistic in a finite sample and examine the empirical level and power of the corresponding model selection tests in various settings. Finally, an analysis of a financial dataset illustrates the proposed model selection procedure at work. The talk is based on a joint work with Florian Brueck and Jean-David Fermanian.