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Characterizations of Copulas Attaining the Bounds of Multivariate Kendall’s Tau

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Abstract

Kendall’s tau is one of the most popular measures of concordance, and even in the multivariate case exact upper and lower bounds of Kendall’s tau are known. The present paper provides characterizations of the copulas attaining the bounds of multivariate Kendall’s tau, mainly in terms of the copula measure, but also via Kendall’s distribution function and for shuffles of copulas.

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References

  1. Fuchs, S., Schmidt, K.D.: Bivariate copulas: transformations, asymmetry and measures of concordance. Kybernetika 50, 109–125 (2014)

    MathSciNet  MATH  Google Scholar 

  2. Úbeda-Flores, M.: Multivariate versions of Blomqvist’s beta and Spearman’s footrule. Ann. Inst. Stat. Math. 57, 781–788 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  3. Durante, F., Sempi, C.: Principles of Copula Theory. Chapman & Hall, London (2016)

    MATH  Google Scholar 

  4. Nelsen, R.B.: An Introduction to Copulas, Second edn. Springer Series in Statistics. Springer, New York (2006)

    Google Scholar 

  5. Fuchs, S.: Multivariate copulas: transformations, symmetry, order and measures of concordance. Kybernetika 50, 725–743 (2014)

    MathSciNet  MATH  Google Scholar 

  6. Fuchs, S.: A biconvex form for copulas. Depend. Model. 4, 63–75 (2016)

    MathSciNet  MATH  Google Scholar 

  7. Nelsen, R.B.: Concordance and copulas: a survey. In: Cuadras, C.M., Fortiana, J., Rodriguez-Lallena, J.A. (eds.) Distributions with Given Marginals and Statistical Modelling, pp. 169–177. Kluwer Academic Publishers, Dordrecht (2002)

    Chapter  Google Scholar 

  8. Genest, C., Nešlehová, J., Ben Ghorbal, N.: Estimators based on Kendall’s tau in multivariate copula models. Aust. N. Z. J. Stat. 53, 157–177 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  9. Ko, B., Ahn, J.Y.: On multivariate countermonotonic copulas and their actuarial application. Lobachevskii J. Math. 37, 387–396 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  10. Lee, W., Cheung, K.C., Ahn, J.Y.: Multivariate countermonotonicity and the minimal copulas. J. Comput. Appl. Math. 317, 589–602 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  11. Lee, W., Ahn, J.Y.: On the multidimensional extension of countermonotonicity and its applications. Insur. Math. Econom. 56, 68–79 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  12. Schweizer, B., Sklar, A.: Probabilistic Metric Spaces. Elsevier (North-Holland), New York (1983)

    MATH  Google Scholar 

  13. Durante, F., Fernández-Sánchez, J.: Multivariate shuffles and approximation of copulas. Stat. Probab. Lett. 80, 1827–1834 (2010)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

The authors are most grateful to the referees whose thoughtful comments led to a more comprehensive discussion of the subject. The first author also acknowledges the support of the Faculty of Economics and Management, Free University of Bozen–Bolzano, via the project NEW-DEMO.

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Correspondence to Sebastian Fuchs.

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Fuchs, S., McCord, Y. & Schmidt, K.D. Characterizations of Copulas Attaining the Bounds of Multivariate Kendall’s Tau. J Optim Theory Appl 178, 424–438 (2018). https://doi.org/10.1007/s10957-018-1285-6

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  • DOI: https://doi.org/10.1007/s10957-018-1285-6

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