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Consider a random sample from a continuous multivariate distribution function F with copula C. In order to test the null hypothesis that C belongs to a certain parametric family, we construct an under H0 asymptotically distribution-free process that serves as a tests generator. The process is a...
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Let (X1, Y1), … , (Xn, Yn) be an i.i.d. sample from a bivariate distribution function that lies in the max-domain of attraction of an extreme value distribution. The asymptotic joint distribution of the standardized component-wise maxima max( Xi) and max(Yi) is then characterized by the...
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size. The strong approximation is first proved for heterogeneous martingale difference arrays and then extended to general … mixingales via martingale approximation, readily accommodating a majority of applications in applied econometrics. We use these …
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this market because either the martingale restriction defined in Longstaff (1995) cannot be rejected by the data, or, even … singles out the effect of market inefficiency from market friction by testing the martingale restriction for the KOSPI200 … problem, we empirically present clear evidence of a violation of the martingale restriction. In addition, in contrast to the S …
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