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Flexible Estimation of Copulas: An Application to the US Housing Crisis


  • Anson T. Y. Ho
  • Kim P. Huynh
  • David T. Jacho‐Chávez


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  • Anson T. Y. Ho & Kim P. Huynh & David T. Jacho‐Chávez, 2016. "Flexible Estimation of Copulas: An Application to the US Housing Crisis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 603-610, April.
  • Handle: RePEc:wly:japmet:v:31:y:2016:i:3:p:603-610

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    Cited by:

    1. Yiguo Sun & Ximing Wu, 2018. "Leverage and Volatility Feedback Effects and Conditional Dependence Index: A Nonparametric Study," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(2), pages 1-20, June.
    2. Kang, Sang Hoon & Uddin, Gazi Salah & Ahmed, Ali & Yoon, Seong-Min, 2018. "Multi-scale causality and extreme tail inter-dependence among housing prices," Economic Modelling, Elsevier, vol. 70(C), pages 301-309.
    3. Roman Matkovskyy, 2019. "Extremal Economic (Inter)Dependence Studies: A Case of the Eastern European Countries," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 667-698, September.
    4. Ho, Anson T.Y. & Huynh, Kim P. & Jacho-Chávez, David T., 2019. "Using nonparametric copulas to measure crude oil price co-movements," Energy Economics, Elsevier, vol. 82(C), pages 211-223.
    5. Chang, Kuang-Liang, 2020. "An investigation on mixed housing-cycle structures and asymmetric tail dependences," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

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