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Nonparametric inference on multivariate versions of Blomqvist’s beta and related measures of tail dependence

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  • Friedrich Schmid

    ()

  • Rafael Schmidt

    ()

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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s00184-006-0114-3
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    Bibliographic Info

    Article provided by Springer in its journal Metrika.

    Volume (Year): 66 (2007)
    Issue (Month): 3 (November)
    Pages: 323-354

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    Handle: RePEc:spr:metrik:v:66:y:2007:i:3:p:323-354

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    Web page: http://www.springerlink.com/link.asp?id=102509

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    Related research

    Keywords: Blomqvist’s beta; Copula; Tail dependence; Asymptotic normality; Empirical copula; Asymptotic efficiency; Primary 62H20; Primary 62G20; Secondary 62G30; Secondary 62H10;

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    References

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    1. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    2. Taskinen, Sara & Oja, Hannu & Randles, Ronald H., 2005. "Multivariate Nonparametric Tests of Independence," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 916-925, September.
    3. François Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, 04.
    4. Fang, Hong-Bin & Fang, Kai-Tai & Kotz, Samuel, 2002. "The Meta-elliptical Distributions with Given Marginals," Journal of Multivariate Analysis, Elsevier, vol. 82(1), pages 1-16, July.
    5. Joe, Harry, 1990. "Multivariate concordance," Journal of Multivariate Analysis, Elsevier, vol. 35(1), pages 12-30, October.
    6. Frahm, Gabriel & Junker, Markus & Schmidt, Rafael, 2005. "Estimating the tail-dependence coefficient: Properties and pitfalls," Insurance: Mathematics and Economics, Elsevier, vol. 37(1), pages 80-100, August.
    7. Campbell, Rachel & Koedijk, Kees & Kofman, Paul, 2002. "Increased correlation in bear markets," Open Access publications from Maastricht University urn:nbn:nl:ui:27-19571, Maastricht University.
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    Cited by:
    1. Genest, Christian & Segers, Johan, 2010. "On the covariance of the asymptotic empirical copula process," Journal of Multivariate Analysis, Elsevier, vol. 101(8), pages 1837-1845, September.
    2. Mai, Jan-Frederik & Scherer, Matthias, 2009. "Lévy-frailty copulas," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1567-1585, August.
    3. Gaißer, Sandra & Ruppert, Martin & Schmid, Friedrich, 2010. "A multivariate version of Hoeffding's Phi-Square," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2571-2586, November.

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