A Consistent Test for Multivariate Conditional Distributions

Fuchun Li and Greg Tkacz ()

Econometric Reviews, 2011, vol. 30, issue 3, 251-273

Abstract: We propose a new test for a multivariate parametric conditional distribution of a vector of variables yt given a conditional vector xt. The proposed test is shown to have an asymptotic normal distribution under the null hypothesis, while being consistent for all fixed alternatives, and having nontrivial power against a sequence of local alternatives. Monte Carlo simulations show that our test has reasonable size and good power for both univariate and multivariate models, even for highly persistent dependent data with sample sizes often encountered in empirical finance.

Keywords: Absolutely regular process; Consistent test; Degenerate U-statistics; Stochastic differential equation (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (2)

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Working Paper: A Consistent Test for Multivariate Conditional Distributions (2009)
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DOI: 10.1080/07474938.2011.553518

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