IDEAS home Printed from https://ideas.repec.org/p/aiz/louvad/2011003.html
   My bibliography  Save this paper

Statistical models and methods for dependence in insurance data

Author

Listed:
  • Van Keilegom, Ingrid
  • Veraverbeke, Noel

Abstract

No abstract is available for this item.

Suggested Citation

  • Van Keilegom, Ingrid & Veraverbeke, Noel, 2011. "Statistical models and methods for dependence in insurance data," LIDAM Discussion Papers ISBA 2011003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Handle: RePEc:aiz:louvad:2011003
    as

    Download full text from publisher

    File URL: https://cdn.uclouvain.be/public/Exports%20reddot/stat/documents/DP1103(1).pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lee, Tae-Hwy & Yang, Weiping, 2014. "Granger-causality in quantiles between financial markets: Using copula approach," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 70-78.
    2. Chatziantoniou, Ioannis & Gabauer, David, 2021. "EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 1-14.
    3. Marimoutou, Vêlayoudom & Soury, Manel, 2015. "Energy markets and CO2 emissions: Analysis by stochastic copula autoregressive model," Energy, Elsevier, vol. 88(C), pages 417-429.
    4. Partha Deb & Pravin K. Trivedi & David M. Zimmer, 2014. "Cost‐Offsets Of Prescription Drug Expenditures: Data Analysis Via A Copula‐Based Bivariate Dynamic Hurdle Model," Health Economics, John Wiley & Sons, Ltd., vol. 23(10), pages 1242-1259, October.
    5. Lee, Tae-Hwy & Long, Xiangdong, 2009. "Copula-based multivariate GARCH model with uncorrelated dependent errors," Journal of Econometrics, Elsevier, vol. 150(2), pages 207-218, June.
    6. Chukiat Chaiboonsri & Prasert Chaitip, 2012. "A Comparative Analysis of ASEAN Currencies Using a Copula Approach and a Dynamic Copula Approach," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(4), pages 39-52.
    7. Khreshna Syuhada & Arief Hakim, 2020. "Modeling risk dependence and portfolio VaR forecast through vine copula for cryptocurrencies," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-34, December.
    8. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    9. Dai, Zhifeng & Zhu, Haoyang & Zhang, Xinhua, 2022. "Dynamic spillover effects and portfolio strategies between crude oil, gold and Chinese stock markets related to new energy vehicle," Energy Economics, Elsevier, vol. 109(C).
    10. Wang, Bo & Xiao, Yang, 2023. "Risk spillovers from China's and the US stock markets during high-volatility periods: Evidence from East Asianstock markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    11. Tae-Hwy Lee & Weiping Yang, 2012. "Money–Income Granger-Causality in Quantiles," Advances in Econometrics, in: 30th Anniversary Edition, pages 385-409, Emerald Group Publishing Limited.
    12. Ha, Sang su & Welch, J. Mark & Anderson, David P., 2016. "Time Varying Correlation Research Among Corn, Ethanol, And Gasoline: Copula –Garch Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252741, Southern Agricultural Economics Association.
    13. Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017. "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, vol. 42(C), pages 173-190.
    14. Jinan Liu & Apostolos Serletis, 2023. "Volatility and dependence in energy markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 15-37, March.
    15. Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of energy prices on clean energy stock prices. A multivariate quantile dependence approach," Energy Economics, Elsevier, vol. 76(C), pages 136-152.
    16. Cerrato, Mario & Crosby, John & Kim, Minjoo & Zhao, Yang, 2014. "Modeling Dependence Structure and Forecasting Portfolio Value-at-Risk with Dynamic Copulas," SIRE Discussion Papers 2015-25, Scottish Institute for Research in Economics (SIRE).
    17. Janus, Paweł & Koopman, Siem Jan & Lucas, André, 2014. "Long memory dynamics for multivariate dependence under heavy tails," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 187-206.
    18. Dominique Guegan & Jing Zang, 2009. "Pricing bivariate option under GARCH-GH model with dynamic copula: application for Chinese market," The European Journal of Finance, Taylor & Francis Journals, vol. 15(7-8), pages 777-795.
    19. Sun, Changyou, 2013. "On the market risk of securitized timberlands," Journal of Forest Economics, Elsevier, vol. 19(2), pages 110-127.
    20. Dimitriou, Dimitrios & Kenourgios, Dimitris, 2013. "Financial crises and dynamic linkages among international currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 319-332.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aiz:louvad:2011003. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nadja Peiffer (email available below). General contact details of provider: https://edirc.repec.org/data/isuclbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.