IDEAS home Printed from https://ideas.repec.org/p/aiz/louvad/2011003.html

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. 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.
    2. 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.
    3. 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.
    4. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. Sun, Changyou, 2013. "On the market risk of securitized timberlands," Journal of Forest Economics, Elsevier, vol. 19(2), pages 110-127.
    11. Li, Xiao-Ming & Rose, Lawrence C., 2009. "The tail risk of emerging stock markets," Emerging Markets Review, Elsevier, vol. 10(4), pages 242-256, December.
    12. Annika Strömer & Nadja Klein & Ingrid Van Keilegom & Andreas Mayr, 2025. "Modelling dependent censoring in time-to-event data using boosting copula regression," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 31(4), pages 994-1016, October.
    13. Xinyu Yuan & Jiechen Tang & Wing-Keung Wong & Songsak Sriboonchitta, 2020. "Modeling Co-Movement among Different Agricultural Commodity Markets: A Copula-GARCH Approach," Sustainability, MDPI, vol. 12(1), pages 1-17, January.
    14. Bai, Xiwen & Lam, Jasmine Siu Lee, 2021. "Freight rate co-movement and risk spillovers in the product tanker shipping market: A copula analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    15. Belloni, Alexandre & Chen, Mingli & Chernozhukov, Victor, "undated". "Quantile Graphical Models : Prediction and Conditional Independence with Applications to Financial Risk Management," Economic Research Papers 269321, University of Warwick - Department of Economics.
    16. Jing Zhang & Dominique Guegan, 2008. "Pricing bivariate option under GARCH processes with time-varying copula," PSE-Ecole d'économie de Paris (Postprint) halshs-00286054, HAL.
    17. Guo, Dong & Zhou, Peng, 2021. "Green bonds as hedging assets before and after COVID: A comparative study between the US and China," Energy Economics, Elsevier, vol. 104(C).
    18. Janneke van Brummelen & Paolo Gorgi & Siem Jan Koopman, 2025. "Score-driven time-varying parameter models with splinebased densities," Tinbergen Institute Discussion Papers 25-011/III, Tinbergen Institute.
    19. Alexander Mayer & Tatsushi Oka & Dominik Wied, 2026. "Local Gaussian copula inference with structural breaks: testing dependence predictability," Papers 2603.01721, arXiv.org.
    20. Ning, Cathy & Wirjanto, Tony S., 2009. "Extreme return-volume dependence in East-Asian stock markets: A copula approach," Finance Research Letters, Elsevier, vol. 6(4), pages 202-209, December.

    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: Alain Gillis (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.