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Fitting bivariate loss distributions with copulas
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Cited by:
- Krämer, Nicole & Brechmann, Eike C. & Silvestrini, Daniel & Czado, Claudia, 2013. "Total loss estimation using copula-based regression models," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 829-839.
- Zhang, Shulin & Okhrin, Ostap & Zhou, Qian M. & Song, Peter X.-K., 2016.
"Goodness-of-fit test for specification of semiparametric copula dependence models,"
Journal of Econometrics, Elsevier, vol. 193(1), pages 215-233.
- Zhang, Shulin & Okhrin, Ostap & Zhou, Qian M. & Song, Peter X.-K., 2013. "Goodness-of-fit test for specification of semiparametric copula dependence models," SFB 649 Discussion Papers 2013-041, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- repec:dau:papers:123456789/3346 is not listed on IDEAS
- Jean-David Fermanian, 2012. "An overview of the goodness-of-fit test problem for copulas," Papers 1211.4416, arXiv.org.
- Rezapour, Mohsen & Alamatsaz, Mohammad Hossein, 2014. "Stochastic comparison of lifetimes of two (n−k+1)-out-of-n systems with heterogeneous dependent components," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 240-251.
- Miriam Jaser & Aleksey Min, 2021. "On tests for symmetry and radial symmetry of bivariate copulas towards testing for ellipticity," Computational Statistics, Springer, vol. 36(3), pages 1-26, September.
- Genest, C. & Werker, B.J.M., 2001. "Conditions for the asymptotic semiparametric efficiency of an omnibus estimator of dependence parameters in copula models," Other publications TiSEM b733c3f4-38d2-49aa-a2c7-4, Tilburg University, School of Economics and Management.
- Di Bernardino, Elena & Rullière, Didier, 2013.
"Distortions of multivariate distribution functions and associated level curves: Applications in multivariate risk theory,"
Insurance: Mathematics and Economics, Elsevier, vol. 53(1), pages 190-205.
- Elena Di Bernardino & Didier Rullière, 2013. "Distortions of multivariate distribution functions and associated level curves: applications in multivariate risk theory," Post-Print hal-00750873, HAL.
- Y. Malevergne & D. Sornette, 2003.
"Testing the Gaussian copula hypothesis for financial assets dependences,"
Quantitative Finance, Taylor & Francis Journals, vol. 3(4), pages 231-250.
- Y. Malevergne & D. Sornette, 2001. "Testing the Gaussian Copula Hypothesis for Financial Assets Dependences," Papers cond-mat/0111310, arXiv.org.
- Yannick Malevergne & Didier Sornette, 2003. "Testing the Gaussian copula hypothesis for financial assets dependences," Post-Print hal-00520539, HAL.
- Yannick Malevergne & Didier Sornette, 2003. "Testing the Gaussian copula hypothesis for financial assets dependence," Post-Print hal-02312888, HAL.
- Y. Malevergne & D. Sornette, 2001. "Testing the Gaussian Copula Hypothesis for Financial Assets Dependences," Finance 0111003, University Library of Munich, Germany.
- Safari-Katesari Hadi & Zaroudi Samira, 2021. "Analysing the impact of dependency on conditional survival functions using copulas," Statistics in Transition New Series, Statistics Poland, vol. 22(1), pages 217-226, March.
- Rihab Bedoui & Makram Ben Dbabis, 2009. "Copulas and bivariate risk measures : an application to hedge funds," Working Papers hal-04140876, HAL.
- Qu, Xiaomei & Zhou, Jie & Shen, Xiaojing, 2010. "Archimedean copula estimation and model selection via l1-norm symmetric distribution," Insurance: Mathematics and Economics, Elsevier, vol. 46(2), pages 406-414, April.
- Beirlant, J. & Dierckx, G. & Guillou, A., 2011. "Bias-reduced estimators for bivariate tail modelling," Insurance: Mathematics and Economics, Elsevier, vol. 49(1), pages 18-26, July.
- Shi, Peng, 2012. "Multivariate longitudinal modeling of insurance company expenses," Insurance: Mathematics and Economics, Elsevier, vol. 51(1), pages 204-215.
- Ariane Chapelle & Yves Crama & Georges Hubner & Jean-Philippe Peeters, 2004. "Basel II and Operational Risk: Implications for risk measurement and management in the financial sector," Working Paper Research 51, National Bank of Belgium.
- Genest, Christian & Rémillard, Bruno & Beaudoin, David, 2009. "Goodness-of-fit tests for copulas: A review and a power study," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 199-213, April.
- Satya P. DAS & Chetan CHATE, 2001.
"Endogenous Distribution, Politics, and Growth,"
LIDAM Discussion Papers IRES
2001019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Satya Das & Chetan Ghate, 2002. "Endogenous Distribution, Politics and Growth," Discussion Papers of DIW Berlin 310, DIW Berlin, German Institute for Economic Research.
- Damiano Brigo & Kyriakos Chourdakis, 2012. "Consistent single- and multi-step sampling of multivariate arrival times: A characterization of self-chaining copulas," Papers 1204.2090, arXiv.org, revised Apr 2012.
- Charpentier, Arthur & Segers, Johan, 2007.
"Lower tail dependence for Archimedean copulas: Characterizations and pitfalls,"
Insurance: Mathematics and Economics, Elsevier, vol. 40(3), pages 525-532, May.
- Charpentier, A. & Segers, J.J.J., 2006. "Lower Tail Dependence for Archimedean Copulas : Characterizations and Pitfalls," Discussion Paper 2006-29, Tilburg University, Center for Economic Research.
- Li, Deyuan & Peng, Liang, 2009. "Goodness-of-fit test for tail copulas modeled by elliptical copulas," Statistics & Probability Letters, Elsevier, vol. 79(8), pages 1097-1104, April.
- Katsuichiro Goda & Jiandong Ren, 2010. "Assessment of Seismic Loss Dependence Using Copula," Risk Analysis, John Wiley & Sons, vol. 30(7), pages 1076-1091, July.
- Miller, Douglas J. & Liu, Wei-han, 2002. "On the recovery of joint distributions from limited information," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 259-274, March.
- Yang, Xipei & Frees, Edward W. & Zhang, Zhengjun, 2011. "A generalized beta copula with applications in modeling multivariate long-tailed data," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 265-284, September.
- Ye, Wuyi & Liu, Xiaoquan & Miao, Baiqi, 2012. "Measuring the subprime crisis contagion: Evidence of change point analysis of copula functions," European Journal of Operational Research, Elsevier, vol. 222(1), pages 96-103.
- Zhao, XiaoBing & Zhou, Xian, 2010. "Applying copula models to individual claim loss reserving methods," Insurance: Mathematics and Economics, Elsevier, vol. 46(2), pages 290-299, April.
- Cossette, Helene & Denuit, Michel & Marceau, Etienne, 2000. "Impact of dependence among multiple claims in a single loss," Insurance: Mathematics and Economics, Elsevier, vol. 26(2-3), pages 213-222, May.
- Dominik Kortschak & Hansjörg Albrecher, 2009. "Asymptotic Results for the Sum of Dependent Non-identically Distributed Random Variables," Methodology and Computing in Applied Probability, Springer, vol. 11(3), pages 279-306, September.
- Wanling Huang & Artem Prokhorov, 2014.
"A Goodness-of-fit Test for Copulas,"
Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 751-771, October.
- Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
- Wanling Huang & Artem Prokhorov, 2010. "A Goodness-of-fit Test for Copulas," Working Papers 10002, Concordia University, Department of Economics, revised Apr 2010.
- Genest, Christian & Masiello, Esterina & Tribouley, Karine, 2009. "Estimating copula densities through wavelets," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 170-181, April.
- Takaaki Koike & Marius Hofert, 2019. "Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations," Papers 1909.11794, arXiv.org, revised May 2020.
- J. Shiau, 2006. "Fitting Drought Duration and Severity with Two-Dimensional Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(5), pages 795-815, October.
- Roch, Oriol & Alegre, Antonio, 2006. "Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1312-1329, November.
- Elena Di Bernardino & Didier Rullière, 2012. "Distortions of multivariate risk measures: a level-sets based approach," Working Papers hal-00756387, HAL.
- DENUIT, Michel & SAILLET, Olivier, 2001. "Nonparametric Tests for Positive Quadrant Dependence," LIDAM Discussion Papers IRES 2001009, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES), revised 01 Apr 2001.
- repec:jss:jstsof:34:i09 is not listed on IDEAS
- Bramante, Riccardo & Zappa, Diego, 2016. "Global versus local beta models: A partitioned distribution approach," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 41-47.
- Hurlimann, Werner, 2004. "Fitting bivariate cumulative returns with copulas," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 355-372, March.
- Semhar Michael & Tatjana Miljkovic & Volodymyr Melnykov, 2020. "Mixture modeling of data with multiple partial right-censoring levels," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(2), pages 355-378, June.
- Ning Li & Xueqin Liu & Wei Xie & Jidong Wu & Peng Zhang, 2013. "The Return Period Analysis of Natural Disasters with Statistical Modeling of Bivariate Joint Probability Distribution," Risk Analysis, John Wiley & Sons, vol. 33(1), pages 134-145, January.
- Kajal Lahiri & Liu Yang, 2023. "Predicting binary outcomes based on the pair-copula construction," Empirical Economics, Springer, vol. 64(6), pages 3089-3119, June.
- Takaaki Koike & Marius Hofert, 2020. "Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations," Risks, MDPI, vol. 8(1), pages 1-33, January.
- Juan Lin & Ximing Wu, 2015. "Smooth Tests of Copula Specifications," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 128-143, January.
- Fang, Y. & Madsen, L., 2013. "Modified Gaussian pseudo-copula: Applications in insurance and finance," Insurance: Mathematics and Economics, Elsevier, vol. 53(1), pages 292-301.
- Gery Geenens & Arthur Charpentier & Davy Paindaveine, 2014. "Probit Transformation for Nonparametric Kernel Estimation of the Copula Density," Working Papers ECARES ECARES 2014-23, ULB -- Universite Libre de Bruxelles.
- Chen, Xiaohong & Fan, Yanqin & Pouzo, Demian & Ying, Zhiliang, 2010.
"Estimation and model selection of semiparametric multivariate survival functions under general censorship,"
Journal of Econometrics, Elsevier, vol. 157(1), pages 129-142, July.
- Xiaohong Chen & Yanqin Fan & Demian Pouzo & Zhiliang Ying, 2008. "Estimation and Model Selection of Semiparametric Multivariate Survival Functions under General Censorship," Cowles Foundation Discussion Papers 1683, Cowles Foundation for Research in Economics, Yale University.
- Sharifah Farah Syed Yusoff Alhabshi & Zamira Hasanah Zamzuri & Siti Norafidah Mohd Ramli, 2021. "Monte Carlo Simulation of the Moments of a Copula-Dependent Risk Process with Weibull Interwaiting Time," Risks, MDPI, vol. 9(6), pages 1-21, June.
- Martin Eling & Denis Toplek, 2009. "Modeling and Management of Nonlinear Dependencies–Copulas in Dynamic Financial Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 651-681, September.
- Kallenberg, Wilbert C.M., 2009. "Estimating copula densities, using model selection techniques," Insurance: Mathematics and Economics, Elsevier, vol. 45(2), pages 209-223, October.
- Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
- Oriol Roch Casellas & Antonio Alegre Escolano, 2005. "Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market," Working Papers in Economics 143, Universitat de Barcelona. Espai de Recerca en Economia.
- Abu Bakar, S.A. & Hamzah, N.A. & Maghsoudi, M. & Nadarajah, S., 2015. "Modeling loss data using composite models," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 146-154.
- Nelsen, Roger B. & Quesada-Molina, José Juan & Rodriguez-Lallena, José Antonio & Úbeda-Flores, Manuel, 2008. "On the construction of copulas and quasi-copulas with given diagonal sections," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 473-483, April.
- Eling, Martin, 2012. "Fitting insurance claims to skewed distributions: Are the skew-normal and skew-student good models?," Insurance: Mathematics and Economics, Elsevier, vol. 51(2), pages 239-248.
- Charpentier, A. & Segers, J.J.J., 2006. "Lower Tail Dependence for Archimedean Copulas : Characterizations and Pitfalls," Other publications TiSEM ae669e5a-1929-42d9-b137-6, Tilburg University, School of Economics and Management.
- Hua, Lei, 2017. "On a bivariate copula with both upper and lower full-range tail dependence," Insurance: Mathematics and Economics, Elsevier, vol. 73(C), pages 94-104.
- repec:hum:wpaper:sfb649dp2013-041 is not listed on IDEAS
- repec:hal:wpaper:hal-00750873 is not listed on IDEAS
- Hadi Safari-Katesari & Samira Zaroudi, 2021. "Analysing the impact of dependency on conditional survival functions using copulas," Statistics in Transition New Series, Polish Statistical Association, vol. 22(1), pages 217-226, March.
- Yoshihiro Kitamura, 2011. "The Impact of Order Flow on the Foreign Exchange Market: A Copula Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(1), pages 1-31, March.