Selecting and estimating regular vine copulae and application to financial returns
Regular vine distributions which constitute a flexible class of multivariate dependence models are discussed. Since multivariate copulae constructed through pair-copula decompositions were introduced to the statistical community, interest in these models has been growing steadily and they are findin...
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| Published in | Computational statistics & data analysis Vol. 59; pp. 52 - 69 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.03.2013
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Regular vine distributions which constitute a flexible class of multivariate dependence models are discussed. Since multivariate copulae constructed through pair-copula decompositions were introduced to the statistical community, interest in these models has been growing steadily and they are finding successful applications in various fields. Research so far has however been concentrating on so-called canonical and D-vine copulae, which are more restrictive cases of regular vine copulae. It is shown how to evaluate the density of arbitrary regular vine specifications. This opens the vine copula methodology to the flexible modeling of complex dependencies even in larger dimensions. In this regard, a new automated model selection and estimation technique based on graph theoretical considerations is presented. This comprehensive search strategy is evaluated in a large simulation study and applied to a 16-dimensional financial data set of international equity, fixed income and commodity indices which were observed over the last decade, in particular during the recent financial crisis. The analysis provides economically well interpretable results and interesting insights into the dependence structure among these indices. |
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| AbstractList | Regular vine distributions which constitute a flexible class of multivariate dependence models are discussed. Since multivariate copulae constructed through pair-copula decompositions were introduced to the statistical community, interest in these models has been growing steadily and they are finding successful applications in various fields. Research so far has however been concentrating on so-called canonical and D-vine copulae, which are more restrictive cases of regular vine copulae. It is shown how to evaluate the density of arbitrary regular vine specifications. This opens the vine copula methodology to the flexible modeling of complex dependencies even in larger dimensions. In this regard, a new automated model selection and estimation technique based on graph theoretical considerations is presented. This comprehensive search strategy is evaluated in a large simulation study and applied to a 16-dimensional financial data set of international equity, fixed income and commodity indices which were observed over the last decade, in particular during the recent financial crisis. The analysis provides economically well interpretable results and interesting insights into the dependence structure among these indices. |
| Author | Dißmann, J. Brechmann, E.C. Czado, C. Kurowicka, D. |
| Author_xml | – sequence: 1 givenname: J. surname: Dißmann fullname: Dißmann, J. organization: Center for Mathematical Sciences, Technische Universität München, Boltzmannstr. 3, 85747 Garching, Germany – sequence: 2 givenname: E.C. surname: Brechmann fullname: Brechmann, E.C. email: brechmann@ma.tum.de organization: Center for Mathematical Sciences, Technische Universität München, Boltzmannstr. 3, 85747 Garching, Germany – sequence: 3 givenname: C. surname: Czado fullname: Czado, C. organization: Center for Mathematical Sciences, Technische Universität München, Boltzmannstr. 3, 85747 Garching, Germany – sequence: 4 givenname: D. surname: Kurowicka fullname: Kurowicka, D. organization: Department of Applied Mathematics, Delft University of Technology, Mekelweg 4, 2628 CD Delft, Netherlands |
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| Cites_doi | 10.1016/j.csda.2010.04.025 10.3905/jfi.2000.319253 10.1002/9781118673331 10.1016/j.jmva.2011.08.013 10.2139/ssrn.1739736 10.1201/b13150 10.1093/jjfinec/nbp031 10.1002/cjs.10141 10.1016/0261-5606(94)00001-H 10.1111/0022-1082.00340 10.1177/1471082X1101200302 10.5194/npg-15-761-2008 10.1198/jasa.2010.tm09572 10.1002/cjs.10098 10.1016/S0167-7152(03)00092-0 10.1016/j.cageo.2010.06.005 10.1080/14697680902821733 10.1016/j.jmva.2009.12.001 10.1061/(ASCE)1084-0699(2007)12:4(347) 10.1023/A:1016725902970 10.1109/IGARSS.2009.5417863 10.1080/13518470802588767 10.1016/j.insmatheco.2007.02.001 10.1002/sim.3316 10.1016/j.jmva.2009.08.002 10.2139/ssrn.1297506 10.1111/j.1751-5823.2005.tb00254.x 10.1093/jjfinec/nbp014 10.1016/j.csda.2010.07.016 10.1103/PhysRevLett.105.251301 10.2307/1912557 10.1006/jmva.2001.2017 10.1093/rfs/15.4.1137 10.1007/978-1-4613-8643-8 10.1080/14697680802595650 10.1007/s11408-010-0130-1 10.1214/aos/1031689016 |
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| References | Aas, Czado, Frigessi, Bakken (br000005) 2009; 44 Sklar (br000295) 1959; 8 Bedford, Cooke (br000030) 2001; 32 Smith, Min, Czado, Almeida (br000300) 2010; 105 Joe (br000165) 1997 Nikoloulopoulos, Joe, Li (br000260) 2012; 56 Sato, Ichiki, Takeuchi (br000280) 2010; 105 Fang, Fang, Kotz (br000110) 2002; 82 Anderson (br000015) 2003 Kazianka, Pilz (br000175) 2011; 37 Hofert (br000150) 2011; 55 Min, Czado (br000235) 2011; 39 Czado (br000075) 2010 Manner, H., 2007. Estimation and model selection of copulas with an application to exchange rates. METEOR Research Memorandum 07/056, Maastricht University. Mendes, Semeraro, Leal (br000220) 2010; 24 Morales-Nápoles, O., 2008. Bayesian belief nets and vines in aviation safety and other applications. Ph.D. Thesis, Technische Universiteit Delft. Hobæk Haff, I., 2011. Parameter estimation for pair-copula constructions. Bernoulli (forthcoming). Akaike (br000010) 1973 Salinas-Gutiérrez, Hernández-Aguirre, Villa-Diharce (br000265) 2010 Garcia, R., Tsafack, G., 2009. Dependence structure and extreme comovements in international equity and bond markets. CIRANO Working Papers 2009s-21, CIRANO. URL Vuong (br000305) 1989; 57 Czado, Schepsmeier, Min (br000080) 2010; 12 . Savu, Trede (br000285) 2010; 10 Fischer, Köck, Schlüter, Weigert (br000115) 2009; 9 Li (br000195) 2000; 9 Frahm, Junker, Szimayer (br000120) 2003; 63 Brechmann, Czado, Aas (br000055) 2012; 40 Nelsen (br000255) 2006 Hofmann, M., Czado, C., 2010. Assessing the VaR of a portfolio using D-vine copula based multivariate GARCH models (submitted for publication). Ang, Bekaert (br000020) 2002; 15 Beaudoin, Lakhal-Chaieb (br000025) 2008; 27 Salvadori, De Michele, Kottegoda, Rosso (br000275) 2007 Brechmann, E.C., 2010. Truncated and simplified regular vines and their applications. Diploma Thesis, Technische Universität München. Erdorf, S., Hartmann-Wendels, T., Heinrichs, N., 2011. Diversification in firm valuation: a multivariate copula approach. Cologne Graduate School Working Paper Series 02-01, Cologne Graduate School in Management, Economics and Social Sciences. URL Genest, Favre (br000130) 2007; 12 Min, Czado (br000230) 2010; 8 Schölzel, Friederichs (br000290) 2008; 15 Cherubini, Luciano, Vecchiato (br000060) 2004 Kurowicka, Cooke (br000185) 2006 Longin, Solnik (br000200) 1995; 14 Morales-Nápoles, O., Cooke, R., Kurowicka, D., 2010. About the number of vines and regular vines on n nodes (submitted for publication). Cormen, Leiserson, Rivest, Stein (br000070) 2001 Joe (br000160) 1996 Diestel (br000095) 2006 Dißmann, J., 2010. Statistical inference for regular vines and application. Diploma Thesis, Technische Universität München. Brechmann, E.C., Czado, C., 2011. Risk management with high-dimensional vine copulas: an analysis of the Euro Stoxx 50 (submitted for publication). Mercier, G., Frison, P.-L., 2009. Statistical characterization of the Sinclair matrix: application to polarimetric image segmentation. In: IGARSS (3)’09, pp. 717–720. Longin, Solnik (br000205) 2001; 56 Salmon (br000270) 2009; 17 Devroye (br000090) 1986 Joe, Li, Nikoloulopoulos (br000170) 2010; 101 Berg, Aas (br000040) 2009; 15 Heinen, A., Valdesogo, A., 2009. Asymmetric CAPM dependence for large dimensions: the canonical vine autoregressive model. CORE Discussion Papers 2009069, Université catholique de Louvain, Center for Operations Research and Econometrics, CORE. Chollete, Heinen, Valdesogo (br000065) 2009; 7 Kurowicka (br000180) 2011 (br000190) 2011 Nelsen (br000250) 2005 McNeil, Frey, Embrechts (br000215) 2005 Hobæk Haff, Aas, Frigessi (br000145) 2010; 101 Demarta, McNeil (br000085) 2005; 73 Bedford, Cooke (br000035) 2002; 30 Czado (10.1016/j.csda.2012.08.010_br000075) 2010 10.1016/j.csda.2012.08.010_br000240 Min (10.1016/j.csda.2012.08.010_br000230) 2010; 8 10.1016/j.csda.2012.08.010_br000245 Savu (10.1016/j.csda.2012.08.010_br000285) 2010; 10 Salvadori (10.1016/j.csda.2012.08.010_br000275) 2007 10.1016/j.csda.2012.08.010_br000045 Brechmann (10.1016/j.csda.2012.08.010_br000055) 2012; 40 Fischer (10.1016/j.csda.2012.08.010_br000115) 2009; 9 10.1016/j.csda.2012.08.010_br000125 Hobæk Haff (10.1016/j.csda.2012.08.010_br000145) 2010; 101 Cormen (10.1016/j.csda.2012.08.010_br000070) 2001 Mendes (10.1016/j.csda.2012.08.010_br000220) 2010; 24 Hofert (10.1016/j.csda.2012.08.010_br000150) 2011; 55 Bedford (10.1016/j.csda.2012.08.010_br000030) 2001; 32 Joe (10.1016/j.csda.2012.08.010_br000160) 1996 Kurowicka (10.1016/j.csda.2012.08.010_br000180) 2011 Longin (10.1016/j.csda.2012.08.010_br000200) 1995; 14 10.1016/j.csda.2012.08.010_br000050 Min (10.1016/j.csda.2012.08.010_br000235) 2011; 39 Salinas-Gutiérrez (10.1016/j.csda.2012.08.010_br000265) 2010 Vuong (10.1016/j.csda.2012.08.010_br000305) 1989; 57 Longin (10.1016/j.csda.2012.08.010_br000205) 2001; 56 10.1016/j.csda.2012.08.010_br000135 10.1016/j.csda.2012.08.010_br000210 Chollete (10.1016/j.csda.2012.08.010_br000065) 2009; 7 Kazianka (10.1016/j.csda.2012.08.010_br000175) 2011; 37 Nelsen (10.1016/j.csda.2012.08.010_br000250) 2005 (10.1016/j.csda.2012.08.010_br000190) 2011 Li (10.1016/j.csda.2012.08.010_br000195) 2000; 9 Demarta (10.1016/j.csda.2012.08.010_br000085) 2005; 73 Aas (10.1016/j.csda.2012.08.010_br000005) 2009; 44 Schölzel (10.1016/j.csda.2012.08.010_br000290) 2008; 15 Fang (10.1016/j.csda.2012.08.010_br000110) 2002; 82 Diestel (10.1016/j.csda.2012.08.010_br000095) 2006 Sklar (10.1016/j.csda.2012.08.010_br000295) 1959; 8 Czado (10.1016/j.csda.2012.08.010_br000080) 2010; 12 10.1016/j.csda.2012.08.010_br000140 Kurowicka (10.1016/j.csda.2012.08.010_br000185) 2006 10.1016/j.csda.2012.08.010_br000100 10.1016/j.csda.2012.08.010_br000105 Joe (10.1016/j.csda.2012.08.010_br000170) 2010; 101 10.1016/j.csda.2012.08.010_br000225 Joe (10.1016/j.csda.2012.08.010_br000165) 1997 Cherubini (10.1016/j.csda.2012.08.010_br000060) 2004 Devroye (10.1016/j.csda.2012.08.010_br000090) 1986 Bedford (10.1016/j.csda.2012.08.010_br000035) 2002; 30 McNeil (10.1016/j.csda.2012.08.010_br000215) 2005 Smith (10.1016/j.csda.2012.08.010_br000300) 2010; 105 Anderson (10.1016/j.csda.2012.08.010_br000015) 2003 Nikoloulopoulos (10.1016/j.csda.2012.08.010_br000260) 2012; 56 10.1016/j.csda.2012.08.010_br000155 Salmon (10.1016/j.csda.2012.08.010_br000270) 2009; 17 Akaike (10.1016/j.csda.2012.08.010_br000010) 1973 Genest (10.1016/j.csda.2012.08.010_br000130) 2007; 12 Nelsen (10.1016/j.csda.2012.08.010_br000255) 2006 Frahm (10.1016/j.csda.2012.08.010_br000120) 2003; 63 Ang (10.1016/j.csda.2012.08.010_br000020) 2002; 15 Sato (10.1016/j.csda.2012.08.010_br000280) 2010; 105 Berg (10.1016/j.csda.2012.08.010_br000040) 2009; 15 Beaudoin (10.1016/j.csda.2012.08.010_br000025) 2008; 27 |
| References_xml | – volume: 15 start-page: 639 year: 2009 end-page: 659 ident: br000040 article-title: Models for construction of higher-dimensional dependence: a comparison study publication-title: European Journal of Finance – year: 2006 ident: br000185 article-title: Uncertainty Analysis with High Dimensional Dependence Modelling – year: 2010 ident: br000075 article-title: Pair-copula constructions of multivariate copulas publication-title: Copula Theory and its Applications – reference: Manner, H., 2007. Estimation and model selection of copulas with an application to exchange rates. METEOR Research Memorandum 07/056, Maastricht University. – volume: 17 year: 2009 ident: br000270 article-title: Recipe for disaster: the formula that killed wall street publication-title: Wired Magazine – reference: Morales-Nápoles, O., 2008. Bayesian belief nets and vines in aviation safety and other applications. Ph.D. Thesis, Technische Universiteit Delft. – reference: Erdorf, S., Hartmann-Wendels, T., Heinrichs, N., 2011. Diversification in firm valuation: a multivariate copula approach. Cologne Graduate School Working Paper Series 02-01, Cologne Graduate School in Management, Economics and Social Sciences. URL: – year: 2004 ident: br000060 article-title: Copula Methods in Finance – year: 1986 ident: br000090 article-title: Non-Uniform Random Variate Generation – volume: 56 start-page: 3659 year: 2012 end-page: 3673 ident: br000260 article-title: Vine copulas with asymmetric tail dependence and applications to financial return data publication-title: Computational Statistics & Data Analysis – reference: Garcia, R., Tsafack, G., 2009. Dependence structure and extreme comovements in international equity and bond markets. CIRANO Working Papers 2009s-21, CIRANO. URL: – year: 2003 ident: br000015 article-title: An Introduction to Multivariate Statistical Analysis – volume: 14 start-page: 3 year: 1995 end-page: 26 ident: br000200 article-title: Is the correlation in international equity returns constant: 1960–1990? publication-title: Journal of International Money and Finance – volume: 32 start-page: 245 year: 2001 end-page: 268 ident: br000030 article-title: Probability density decomposition for conditionally dependent random variables modeled by vines publication-title: Annals of Mathematics and Artificial Intelligence – volume: 39 start-page: 239 year: 2011 end-page: 258 ident: br000235 article-title: Bayesian model selection for multivariate copulas using pair-copula constructions publication-title: Canadian Journal of Statistics – start-page: 120 year: 1996 end-page: 141 ident: br000160 article-title: Families of publication-title: Distributions with Fixed Marginals and Related Topics – volume: 40 start-page: 68 year: 2012 end-page: 85 ident: br000055 article-title: Truncated regular vines in high dimensions with applications to financial data publication-title: Canadian Journal of Statistics – start-page: 45 year: 2005 end-page: 54 ident: br000250 article-title: Dependence modeling with Archimedean copulas publication-title: Proceedings of the Second Brazilian Conference on Statistical Modelling in Insurance and Finance – volume: 105 start-page: 1467 year: 2010 end-page: 1479 ident: br000300 article-title: Modeling longitudinal data using a pair-copula decomposition of serial dependence publication-title: Journal of the American Statistical Association – volume: 27 start-page: 4440 year: 2008 end-page: 4454 ident: br000025 article-title: Archimedean copula model selection under dependent truncation publication-title: Statistics in Medicine – volume: 10 start-page: 295 year: 2010 end-page: 304 ident: br000285 article-title: Hierarchical Archimedean copulas publication-title: Quantitative Finance – start-page: 257 year: 1973 end-page: 281 ident: br000010 article-title: Information theory and an extension of the likelihood ratio principle publication-title: Proceedings of the Second International Symposium of Information Theory – volume: 12 start-page: 347 year: 2007 end-page: 368 ident: br000130 article-title: Everything you always wanted to know about copula modeling but were afraid to ask publication-title: Journal of Hydrologic Engineering – volume: 15 start-page: 1137 year: 2002 end-page: 1187 ident: br000020 article-title: International asset allocation with regime shifts publication-title: Review of Financial Studies – reference: Dißmann, J., 2010. Statistical inference for regular vines and application. Diploma Thesis, Technische Universität München. – year: 2005 ident: br000215 article-title: Quantitative Risk Management: Concepts Techniques and Tools – volume: 8 year: 2010 ident: br000230 article-title: Bayesian inference for multivariate copulas using pair-copula constructions publication-title: Journal of Financial Econometrics – reference: Hobæk Haff, I., 2011. Parameter estimation for pair-copula constructions. Bernoulli (forthcoming). – volume: 101 start-page: 252 year: 2010 end-page: 270 ident: br000170 article-title: Tail dependence functions and vine copulas publication-title: Journal of Multivariate Analysis – volume: 8 start-page: 229 year: 1959 end-page: 231 ident: br000295 article-title: Fonctions de répartition à n dimensions et leurs marges publication-title: Publications de l’Institut de Statistique de l’Université de Paris – volume: 30 start-page: 1031 year: 2002 end-page: 1068 ident: br000035 article-title: Vines—a new graphical model for dependent random variables publication-title: Annals of Statistics – year: 1997 ident: br000165 article-title: Multivariate Models and Dependence Concepts – volume: 7 start-page: 437 year: 2009 end-page: 480 ident: br000065 article-title: Modeling international financial returns with a multivariate regime switching copula publication-title: Journal of Financial Econometrics – year: 2007 ident: br000275 article-title: Extremes in Nature: An Approach Using Copulas – reference: Brechmann, E.C., 2010. Truncated and simplified regular vines and their applications. Diploma Thesis, Technische Universität München. – year: 2001 ident: br000070 article-title: Introduction to Algorithms – volume: 12 start-page: 229 year: 2010 end-page: 255 ident: br000080 article-title: Maximum likelihood estimation of mixed C-vines with application to exchange rates publication-title: Statistical Modelling – volume: 15 start-page: 761 year: 2008 end-page: 772 ident: br000290 article-title: Multivariate non-normally distributed random variables in climate research—introduction to the copula approach publication-title: Nonlinear Processes in Geophysics – reference: Brechmann, E.C., Czado, C., 2011. Risk management with high-dimensional vine copulas: an analysis of the Euro Stoxx 50 (submitted for publication). – volume: 9 start-page: 43 year: 2000 end-page: 54 ident: br000195 article-title: On default correlation: a copula function approach publication-title: Journal of Fixed Income – volume: 55 start-page: 57 year: 2011 end-page: 70 ident: br000150 article-title: Efficiently sampling nested Archimedean copulas publication-title: Computational Statistics & Data Analysis – volume: 56 start-page: 649 year: 2001 end-page: 676 ident: br000205 article-title: Extreme correlation of international equity markets publication-title: Journal of Finance – volume: 9 start-page: 839 year: 2009 end-page: 854 ident: br000115 article-title: An empirical analysis of multivariate copula models publication-title: Quantitative Finance – volume: 57 start-page: 307 year: 1989 end-page: 333 ident: br000305 article-title: Likelihood ratio tests for model selection and non-nested hypotheses publication-title: Econometrica – year: 2006 ident: br000095 article-title: Graph Theory – reference: Hofmann, M., Czado, C., 2010. Assessing the VaR of a portfolio using D-vine copula based multivariate GARCH models (submitted for publication). – reference: Mercier, G., Frison, P.-L., 2009. Statistical characterization of the Sinclair matrix: application to polarimetric image segmentation. In: IGARSS (3)’09, pp. 717–720. – year: 2011 ident: br000180 article-title: Optimal truncation of vines publication-title: Dependence Modeling: Handbook on Vine Copulae – reference: . – year: 2011 ident: br000190 publication-title: Dependence Modeling: Handbook on Vine Copulae – start-page: 359 year: 2010 end-page: 366 ident: br000265 article-title: D-vine EDA: a new estimation of distribution algorithm based on regular vines publication-title: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation – volume: 73 start-page: 111 year: 2005 end-page: 129 ident: br000085 article-title: The publication-title: International Statistical Review – volume: 82 start-page: 1 year: 2002 end-page: 16 ident: br000110 article-title: The meta-elliptical distributions with given marginals publication-title: Journal of Multivariate Analysis – volume: 63 start-page: 275 year: 2003 end-page: 286 ident: br000120 article-title: Elliptical copulas: applicability and limitations publication-title: Statistics & Probability Letters – reference: Heinen, A., Valdesogo, A., 2009. Asymmetric CAPM dependence for large dimensions: the canonical vine autoregressive model. CORE Discussion Papers 2009069, Université catholique de Louvain, Center for Operations Research and Econometrics, CORE. – volume: 24 start-page: 193 year: 2010 end-page: 213 ident: br000220 article-title: Pair-copulas modeling in finance publication-title: Financial Markets and Portfolio Management – year: 2006 ident: br000255 article-title: An Introduction to Copulas – volume: 44 start-page: 182 year: 2009 end-page: 198 ident: br000005 article-title: Pair-copula constructions of multiple dependence publication-title: Insurance: Mathematics and Economics – volume: 101 start-page: 1296 year: 2010 end-page: 1310 ident: br000145 article-title: On the simplified pair-copula construction—simply useful or too simplistic? publication-title: Journal of Multivariate Analysis – volume: 37 start-page: 310 year: 2011 end-page: 319 ident: br000175 article-title: Bayesian spatial modeling and interpolation using copulas publication-title: Computational Geosciences – reference: Morales-Nápoles, O., Cooke, R., Kurowicka, D., 2010. About the number of vines and regular vines on n nodes (submitted for publication). – volume: 105 year: 2010 ident: br000280 article-title: Precise estimation of cosmological parameters using a more accurate likelihood function publication-title: Physical Review Letters – year: 2011 ident: 10.1016/j.csda.2012.08.010_br000180 article-title: Optimal truncation of vines – year: 2006 ident: 10.1016/j.csda.2012.08.010_br000185 – volume: 55 start-page: 57 issue: 1 year: 2011 ident: 10.1016/j.csda.2012.08.010_br000150 article-title: Efficiently sampling nested Archimedean copulas publication-title: Computational Statistics & Data Analysis doi: 10.1016/j.csda.2010.04.025 – year: 2006 ident: 10.1016/j.csda.2012.08.010_br000255 – ident: 10.1016/j.csda.2012.08.010_br000240 – volume: 8 start-page: 229 year: 1959 ident: 10.1016/j.csda.2012.08.010_br000295 article-title: Fonctions de répartition à n dimensions et leurs marges publication-title: Publications de l’Institut de Statistique de l’Université de Paris – year: 2010 ident: 10.1016/j.csda.2012.08.010_br000075 article-title: Pair-copula constructions of multivariate copulas – volume: 9 start-page: 43 issue: 4 year: 2000 ident: 10.1016/j.csda.2012.08.010_br000195 article-title: On default correlation: a copula function approach publication-title: Journal of Fixed Income doi: 10.3905/jfi.2000.319253 – year: 2004 ident: 10.1016/j.csda.2012.08.010_br000060 doi: 10.1002/9781118673331 – ident: 10.1016/j.csda.2012.08.010_br000045 – ident: 10.1016/j.csda.2012.08.010_br000140 doi: 10.1016/j.jmva.2011.08.013 – ident: 10.1016/j.csda.2012.08.010_br000105 doi: 10.2139/ssrn.1739736 – year: 1997 ident: 10.1016/j.csda.2012.08.010_br000165 doi: 10.1201/b13150 – volume: 8 issue: 4 year: 2010 ident: 10.1016/j.csda.2012.08.010_br000230 article-title: Bayesian inference for multivariate copulas using pair-copula constructions publication-title: Journal of Financial Econometrics doi: 10.1093/jjfinec/nbp031 – volume: 40 start-page: 68 issue: 1 year: 2012 ident: 10.1016/j.csda.2012.08.010_br000055 article-title: Truncated regular vines in high dimensions with applications to financial data publication-title: Canadian Journal of Statistics doi: 10.1002/cjs.10141 – ident: 10.1016/j.csda.2012.08.010_br000125 – volume: 14 start-page: 3 year: 1995 ident: 10.1016/j.csda.2012.08.010_br000200 article-title: Is the correlation in international equity returns constant: 1960–1990? publication-title: Journal of International Money and Finance doi: 10.1016/0261-5606(94)00001-H – volume: 56 start-page: 649 issue: 2 year: 2001 ident: 10.1016/j.csda.2012.08.010_br000205 article-title: Extreme correlation of international equity markets publication-title: Journal of Finance doi: 10.1111/0022-1082.00340 – volume: 12 start-page: 229 issue: 3 year: 2010 ident: 10.1016/j.csda.2012.08.010_br000080 article-title: Maximum likelihood estimation of mixed C-vines with application to exchange rates publication-title: Statistical Modelling doi: 10.1177/1471082X1101200302 – year: 2006 ident: 10.1016/j.csda.2012.08.010_br000095 – ident: 10.1016/j.csda.2012.08.010_br000155 – volume: 15 start-page: 761 year: 2008 ident: 10.1016/j.csda.2012.08.010_br000290 article-title: Multivariate non-normally distributed random variables in climate research—introduction to the copula approach publication-title: Nonlinear Processes in Geophysics doi: 10.5194/npg-15-761-2008 – volume: 105 start-page: 1467 issue: 492 year: 2010 ident: 10.1016/j.csda.2012.08.010_br000300 article-title: Modeling longitudinal data using a pair-copula decomposition of serial dependence publication-title: Journal of the American Statistical Association doi: 10.1198/jasa.2010.tm09572 – volume: 39 start-page: 239 issue: 2 year: 2011 ident: 10.1016/j.csda.2012.08.010_br000235 article-title: Bayesian model selection for multivariate copulas using pair-copula constructions publication-title: Canadian Journal of Statistics doi: 10.1002/cjs.10098 – volume: 63 start-page: 275 issue: 3 year: 2003 ident: 10.1016/j.csda.2012.08.010_br000120 article-title: Elliptical copulas: applicability and limitations publication-title: Statistics & Probability Letters doi: 10.1016/S0167-7152(03)00092-0 – volume: 37 start-page: 310 year: 2011 ident: 10.1016/j.csda.2012.08.010_br000175 article-title: Bayesian spatial modeling and interpolation using copulas publication-title: Computational Geosciences doi: 10.1016/j.cageo.2010.06.005 – year: 2001 ident: 10.1016/j.csda.2012.08.010_br000070 – volume: 10 start-page: 295 year: 2010 ident: 10.1016/j.csda.2012.08.010_br000285 article-title: Hierarchical Archimedean copulas publication-title: Quantitative Finance doi: 10.1080/14697680902821733 – volume: 101 start-page: 1296 issue: 5 year: 2010 ident: 10.1016/j.csda.2012.08.010_br000145 article-title: On the simplified pair-copula construction—simply useful or too simplistic? publication-title: Journal of Multivariate Analysis doi: 10.1016/j.jmva.2009.12.001 – volume: 12 start-page: 347 issue: 4 year: 2007 ident: 10.1016/j.csda.2012.08.010_br000130 article-title: Everything you always wanted to know about copula modeling but were afraid to ask publication-title: Journal of Hydrologic Engineering doi: 10.1061/(ASCE)1084-0699(2007)12:4(347) – volume: 32 start-page: 245 year: 2001 ident: 10.1016/j.csda.2012.08.010_br000030 article-title: Probability density decomposition for conditionally dependent random variables modeled by vines publication-title: Annals of Mathematics and Artificial Intelligence doi: 10.1023/A:1016725902970 – ident: 10.1016/j.csda.2012.08.010_br000225 doi: 10.1109/IGARSS.2009.5417863 – volume: 17 issue: 3 year: 2009 ident: 10.1016/j.csda.2012.08.010_br000270 article-title: Recipe for disaster: the formula that killed wall street publication-title: Wired Magazine – year: 2007 ident: 10.1016/j.csda.2012.08.010_br000275 – volume: 15 start-page: 639 year: 2009 ident: 10.1016/j.csda.2012.08.010_br000040 article-title: Models for construction of higher-dimensional dependence: a comparison study publication-title: European Journal of Finance doi: 10.1080/13518470802588767 – ident: 10.1016/j.csda.2012.08.010_br000100 – ident: 10.1016/j.csda.2012.08.010_br000050 – volume: 44 start-page: 182 issue: 2 year: 2009 ident: 10.1016/j.csda.2012.08.010_br000005 article-title: Pair-copula constructions of multiple dependence publication-title: Insurance: Mathematics and Economics doi: 10.1016/j.insmatheco.2007.02.001 – volume: 27 start-page: 4440 issue: 22 year: 2008 ident: 10.1016/j.csda.2012.08.010_br000025 article-title: Archimedean copula model selection under dependent truncation publication-title: Statistics in Medicine doi: 10.1002/sim.3316 – year: 2005 ident: 10.1016/j.csda.2012.08.010_br000215 – start-page: 45 year: 2005 ident: 10.1016/j.csda.2012.08.010_br000250 article-title: Dependence modeling with Archimedean copulas – volume: 101 start-page: 252 issue: 1 year: 2010 ident: 10.1016/j.csda.2012.08.010_br000170 article-title: Tail dependence functions and vine copulas publication-title: Journal of Multivariate Analysis doi: 10.1016/j.jmva.2009.08.002 – ident: 10.1016/j.csda.2012.08.010_br000245 – ident: 10.1016/j.csda.2012.08.010_br000135 doi: 10.2139/ssrn.1297506 – start-page: 359 year: 2010 ident: 10.1016/j.csda.2012.08.010_br000265 article-title: D-vine EDA: a new estimation of distribution algorithm based on regular vines – volume: 73 start-page: 111 issue: 1 year: 2005 ident: 10.1016/j.csda.2012.08.010_br000085 article-title: The t copula and related copulas publication-title: International Statistical Review doi: 10.1111/j.1751-5823.2005.tb00254.x – volume: 7 start-page: 437 year: 2009 ident: 10.1016/j.csda.2012.08.010_br000065 article-title: Modeling international financial returns with a multivariate regime switching copula publication-title: Journal of Financial Econometrics doi: 10.1093/jjfinec/nbp014 – volume: 56 start-page: 3659 issue: 11 year: 2012 ident: 10.1016/j.csda.2012.08.010_br000260 article-title: Vine copulas with asymmetric tail dependence and applications to financial return data publication-title: Computational Statistics & Data Analysis doi: 10.1016/j.csda.2010.07.016 – volume: 105 issue: 25 year: 2010 ident: 10.1016/j.csda.2012.08.010_br000280 article-title: Precise estimation of cosmological parameters using a more accurate likelihood function publication-title: Physical Review Letters doi: 10.1103/PhysRevLett.105.251301 – year: 2003 ident: 10.1016/j.csda.2012.08.010_br000015 – volume: 57 start-page: 307 issue: 2 year: 1989 ident: 10.1016/j.csda.2012.08.010_br000305 article-title: Likelihood ratio tests for model selection and non-nested hypotheses publication-title: Econometrica doi: 10.2307/1912557 – volume: 82 start-page: 1 year: 2002 ident: 10.1016/j.csda.2012.08.010_br000110 article-title: The meta-elliptical distributions with given marginals publication-title: Journal of Multivariate Analysis doi: 10.1006/jmva.2001.2017 – ident: 10.1016/j.csda.2012.08.010_br000210 – volume: 15 start-page: 1137 issue: 4 year: 2002 ident: 10.1016/j.csda.2012.08.010_br000020 article-title: International asset allocation with regime shifts publication-title: Review of Financial Studies doi: 10.1093/rfs/15.4.1137 – year: 1986 ident: 10.1016/j.csda.2012.08.010_br000090 doi: 10.1007/978-1-4613-8643-8 – start-page: 120 year: 1996 ident: 10.1016/j.csda.2012.08.010_br000160 article-title: Families of m-variate distributions with given margins and m(m−1)/2 bivariate dependence parameters – year: 2011 ident: 10.1016/j.csda.2012.08.010_br000190 – volume: 9 start-page: 839 issue: 7 year: 2009 ident: 10.1016/j.csda.2012.08.010_br000115 article-title: An empirical analysis of multivariate copula models publication-title: Quantitative Finance doi: 10.1080/14697680802595650 – volume: 24 start-page: 193 issue: 2 year: 2010 ident: 10.1016/j.csda.2012.08.010_br000220 article-title: Pair-copulas modeling in finance publication-title: Financial Markets and Portfolio Management doi: 10.1007/s11408-010-0130-1 – start-page: 257 year: 1973 ident: 10.1016/j.csda.2012.08.010_br000010 article-title: Information theory and an extension of the likelihood ratio principle – volume: 30 start-page: 1031 issue: 4 year: 2002 ident: 10.1016/j.csda.2012.08.010_br000035 article-title: Vines—a new graphical model for dependent random variables publication-title: Annals of Statistics doi: 10.1214/aos/1031689016 |
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| Snippet | Regular vine distributions which constitute a flexible class of multivariate dependence models are discussed. Since multivariate copulae constructed through... |
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| SubjectTerms | automation Commodities Computer simulation data collection Density economic crises Estimating income Mathematical models Minimum spanning tree Model selection Multivariate copula Regular vines Searching Statistics Strategy vines |
| Title | Selecting and estimating regular vine copulae and application to financial returns |
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