Skip to main content

Simulating from a Family of Generalized Archimedean Copulas

  • Conference paper
  • First Online:
Topics in Statistical Simulation

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 114))

Abstract

We present a generalized class of bivariate Archimedean copulas. Such a class enlarges the family of Archimedean copulas since it allows the presence of a singular component along the main diagonal of the copula domain. Sampling procedures are derived in order to enhance practical application. The investigations are expected to be useful in bivariate models of lifetimes and in credit risk models of joint defaults.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alsina, C., Frank, M.J., Schweizer, B.: Associative Functions. Triangular Norms and Copulas. World Scientific Publishing, Hackensack (2006)

    MATH  Google Scholar 

  2. Cherubini, U., Mulinacci, S., Gobbi, F., Romagnoli, S.: Dynamic copula methods in finance. In: Wiley Finance Series. Wiley, Chichester (2012)

    Google Scholar 

  3. Cuadras, C.M., Augé, J.: A continuous general multivariate distribution and its properties. Commun. Stat. Theory Methods 10(4), 339–353 (1981)

    Article  Google Scholar 

  4. Durante, F.: A new class of symmetric bivariate copulas. J. Nonparametr. Stat. 18(7–8), 499–510 (2006/2007)

    Google Scholar 

  5. Durante, F.: Construction of non-exchangeable bivariate distribution functions. Stat. Pap. 50(2), 383–391 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  6. Durante, F., Sempi, C.: Copula and semicopula transforms. Int. J. Math. Math. Sci. 2005(4), 645–655 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  7. Durante, F., Fernández-Sánchez, J., Sempi, C.: Multivariate patchwork copulas: a unified approach with applications to partial comonotonicity. Insur. Math. Econ. 53, 897–905 (2013)

    Article  MATH  Google Scholar 

  8. Durante, F., Hofert, M., Scherer, M.: Multivariate hierarchical copulas with shocks. Methodol. Comput. Appl. Probab. 12(4), 681–694 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  9. Durante, F., Mesiar, R., Sempi, C.: On a family of copulas constructed from the diagonal section. Soft. Comput. 10(6), 490–494 (2006)

    Article  MATH  Google Scholar 

  10. Durante, F., Quesada-Molina, J., Sempi, C.: A generalization of the Archimedean class of bivariate copulas. Ann. Inst. Stat. Math. 59(3), 487–498 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  11. Durante, F., Kolesárová, A., Mesiar, R., Sempi, C.: Semilinear copulas. Fuzzy Set. Syst. 159(1), 63–76 (2008)

    Article  MATH  Google Scholar 

  12. Hering, C., Hofert, M., Mai, J.F., Scherer, M.: Constructing hierarchical Archimedean copulas with Lévy subordinators. J. Multivar. Anal. 101(6), 1428–1433 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  13. Hofert, M., Kojadinovic, I., Maechler, M., Yan, J.: Copula: multivariate dependence with copulas (2013). http://CRAN.R-project.org/package=copula. R package version 0.999-7

  14. Jaworski, P., Durante, F., Härdle, W.K. (eds.): Copulae in mathematical and quantitative finance. Lecture Notes in Statistics: Proceedings, vol. 213. Springer, Berlin/Heidelberg (2013)

    Google Scholar 

  15. Jaworski, P., Durante, F., Härdle, W.K., Rychlik, T. (eds.): Copula theory and its applications. Lecture Notes in Statistics: Proceedings, vol. 198. Springer, Berlin/Heidelberg (2010)

    Google Scholar 

  16. Joe, H.: Multivariate models and dependence concepts. In: Monographs on Statistics and Applied Probability, vol. 73. Chapman & Hall, London (1997)

    Google Scholar 

  17. Liebscher, E.: Construction of asymmetric multivariate copulas. J. Multivar. Anal. 99(10), 2234–2250 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  18. Mai, J.F., Scherer, M.: Simulating copulas: stochastic models, sampling algorithms, and applications. In: Series in Quantitative Finance, vol. 4. Imperial College Press, London (2012).

    Google Scholar 

  19. Mai, J.F., Scherer, M.: Simulating from the copula that generates the maximal probability for a joint default under given (inhomogeneous) marginals. Technical report (2013)

    Google Scholar 

  20. Marshall, A.W., Olkin, I.: A multivariate exponential distribution. J. Am. Stat. Assoc. 62, 30–44 (1967)

    Article  MATH  MathSciNet  Google Scholar 

  21. McNeil, A.J., Nešlehová, J.: Multivariate Archimedean copulas, d-monotone functions and ℓ 1-norm symmetric distributions. Ann. Stat. 37(5B), 3059–3097 (2009)

    Article  MATH  Google Scholar 

  22. Morillas, P.M.: A method to obtain new copulas from a given one. Metrika 61(2), 169–184 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  23. Mulinacci, S.: Archimedean-based Marshall–Olkin distributions and related copula functions. Technical report (2013)

    Google Scholar 

  24. Nelsen, R.B.: An introduction to copulas, 2nd edn. In: Springer Series in Statistics. Springer, New York (2006)

    MATH  Google Scholar 

  25. Okhrin, O., Okhrin, Y., Schmid, W.: On the structure and estimation of hierarchical Archimedean copulas. J. Econom. 173(2), 189–204 (2013)

    Article  MathSciNet  Google Scholar 

  26. R Core Team: R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. http://www.R-project.org/ (2013)

  27. Valdez, E.A., Xiao, Y.: On the distortion of a copula and its margins. Scand. Actuar. J. 4, 292–317 (2011)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The author thanks Sabrina Mulinacci (University of Bologna) for useful comments and discussions about the topic of this manuscript. The author acknowledges the support of Free University of Bozen-Bolzano, via the project MODEX.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fabrizio Durante .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this paper

Cite this paper

Durante, F. (2014). Simulating from a Family of Generalized Archimedean Copulas. In: Melas, V., Mignani, S., Monari, P., Salmaso, L. (eds) Topics in Statistical Simulation. Springer Proceedings in Mathematics & Statistics, vol 114. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2104-1_14

Download citation

Publish with us

Policies and ethics