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Strong measures of concordance and convergence in probability

Abstract : It is shown that convergence in probability is sufficient for a strong measure of concordance to converge to one, and that convergence to one of a strong measure of concordance, along with convergence in law, is sufficient for convergence in probability
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Submitted on : Thursday, December 2, 2010 - 2:35:16 PM
Last modification on : Thursday, January 11, 2018 - 6:19:31 AM

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Marco Scarsini. Strong measures of concordance and convergence in probability. Decisions in Economics and Finance, Springer-Verlag, 1984, Vol. 7, N°1-2, pp. 39-44. ⟨10.1007/BF02106373⟩. ⟨hal-00542387⟩

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