A time dynamic pair copula construction: with financial applications

References

• Aas , K , Czado , C , Frigessi , A and Bakken , H . 2009 . Pair-copula constructions of multiple dependence . Insurance: Mathematics and Economics , 44 : 182 – 98 .
   Web of Science ®Google Scholar
• Angelidis , T , Benos , A and Degiannakis , S . 2004 . The use of GARCH models in VaR estimation . Statistical Methodology , 1 : 105 – 28 .
   Google Scholar
• Berg , D and Aas , K . 2009 . Models for construction of multivariate dependence: a comparison study . European Journal of Finance , 15 : 639 – 59 .
   Web of Science ®Google Scholar
• Bedford , T and Cooke , RM . 2001 . Probability density decomposition for conditionally dependent random variables modelled by vines . Annals of Mathematics and Artificial Intelligence , 32 : 245 – 68 .
   Web of Science ®Google Scholar
• Bedford , T and Cooke , RM . 2002 . Vines – a new graphical model for dependent random variables . Annals of Statistics , 30 : 1031 – 68 .
   Web of Science ®Google Scholar
• Bollerslev , T . 1986 . Generalized autoregressive conditional heteroskedasticity . Journal of Econometrics , 31 : 307 – 27 .
   Web of Science ®Google Scholar
• Brechmann , EC , Czado , C and Aas , K . 2012 . Truncated regular vines in high dimensions with applications to financial data . Canadian Journal of Statistics , 40 : 68 – 85 .
   Web of Science ®Google Scholar
• Chollete , L , Heinen , A and Valdesogo , A . 2009 . Modeling international financial returns with a multivariate regime switching copula . Journal of Financial Econometrics , 7 : 437 – 80 .
   Web of Science ®Google Scholar
• Dalla Valle , L . 2007 . Bayesian copulae distributions with application to operational risk management . Methodology and Computing in Applied Probability , 11 : 95 – 115 .
   Web of Science ®Google Scholar
• Dias , A and Embrechts , P . 2004 . “ Change-point analysis for dependence structures in finance and insurance ” . In Risk Measures for the 21st Century , Edited by: Szegoe , GP . 321 – 35 . Hoboken , NJ : Wiley .
   Google Scholar
• Dißmann , J , Brechmann , EC , Czado , C and Kurowicka , D . 2011 . Selecting and estimating regular vine copulae and application to financial returns, Unpublished Paper, mimeo , Technical University of Munich .
   Google Scholar
• Diebold , FX and Mariano , R . 1995 . Comparing predictive accuracy . Journal of Business and Economic Statistics , 13 : 253 – 63 .
   Web of Science ®Google Scholar
• Embrechts , P , Höing , A and Juri , A . 2003 . Using copulae to bound value-at-risk for functions of dependent risks . Finance and Stochastics , 7 : 145 – 67 .
   Web of Science ®Google Scholar
• Engle , RF . 1982 . Autoregressive conditional heteroskedasticity with estimates of United Kingdom inflation . Econometrica , 50 : 987 – 1008 .
   Web of Science ®Google Scholar
• Engle , RF . 2002 . Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroskedasticity models . Journal of Business and Economic Statistics , 20 : 339 – 50 .
   Web of Science ®Google Scholar
• Engle , RF and Patton , AJ . 2001 . What good is a volatility model? . Quantitative Finance , 1 : 237 – 45 .
   Web of Science ®Google Scholar
• Fantazzini , D . 2008 . Dynamic copula modelling for value at risk . Frontiers in Finance and Economics , 5 : 72 – 108 .
   Google Scholar
• Frey , R and McNeil , AJ . 2003 . Dependent defaults in models of portfolio credit risk . Journal of Risk , 6 : 59 – 92 .
   Google Scholar
• Garcia , R and Tsafack , G . 2011 . Dependence structure and extreme comovements in international equity and bond markets . Journal of Banking and Finance , 35 : 1954 – 70 .
   Web of Science ®Google Scholar
• Geman , S and Geman , D . 1984 . Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images . IEEE Transactions on Pattern Analysis and Machine Intelligence , 6 : 721 – 41 .
   PubMed Web of Science ®Google Scholar
• Gelman , A , Carlin , JB , Stern , HS and Rubin , DB . 2004 . Bayesian Data Analysis , 2nd , Boca Raton : Chapman and Hall/CRC .
   Google Scholar
• Hafner , CM and Manner , H . 2012 . Dynamic stochastic copula models: estimation, inference and applications . Journal of Applied Econometrics , 27 : 269 – 95 .
   Web of Science ®Google Scholar
• Hafner , CM and Reznikova , O . 2010 . Efficient estimation of a semiparametric dynamic copula model . Computational Statistics and Data Analysis , 54 : 2609 – 27 .
   Web of Science ®Google Scholar
• Hastings , W . 1970 . Monte Carlo sampling methods using Markov chains and their applications . Biometrika , 57 : 97 – 109 .
   Web of Science ®Google Scholar
• Joe , H . 1996 . “ Families of m-variate distributions with given margins and m(m-1)/2 bivariate dependence parameters ” . In Distributions with Fixed Marginals and Related Topics , Edited by: Rüschendorf , L , Schweizer , B and Taylor , MD . 120 – 41 . Hayward, California : IMS .
   Google Scholar
• Jorion , P . 2000 . Value at Risk: The New Benchmark for Managing Financial Risk , 2nd , New York : McGraw Hill .
   Google Scholar
• Kupiec , PH . 1995 . Techniques for verifying the accuracy of risk measurement models . The Journal of Derivatives , 3 : 73 – 84 .
   Google Scholar
• Kurowicka , D and Cooke , RM . 2004 . Distribution-free continuous Bayesian belief nets in Fourth International Conference on Mathematical Methods in Reliability Methodology and Practice, Sante Fe, New Mexico
   Google Scholar
• Laurent , JP and Gregory , J . 2005 . Basket default swaps, CDO's, and factor copulas . Journal of Risk , 7 : 103 – 22 .
   Google Scholar
• Li , DX . 2000 . On default correlation: a copula function approach . Journal of Fixed Income , 9 : 43 – 54 .
   Google Scholar
• Longin , F and Solnik , B . 1995 . Is the correlation of international equity returns constant: 1960–1990 . Journal of International Money and Finance , 14 : 3 – 26 .
   Web of Science ®Google Scholar
• Lopez , JA . 1998 . Methods for evaluating value-at-risk estimates . Economic Policy Review, Federal Reserve Bank of New York , 4 : 119 – 24 .
   Google Scholar
• Manner , H and Reznikova , O . 2012 . A survey on time-varying copulas: specification, simulations and estimation, Econometric Reviews forthcoming
   Google Scholar
• Metropolis , N , Rosenbluth , AW , Rosenbluth , MN , Teller , AH and Teller , E . 1953 . Equations of state calculations by fast computing machines . Journal of Chemical Physics , 21 : 1087 – 92 .
   Web of Science ®Google Scholar
• Min , A and Czado , C . 2010 . Bayesian inference for multivariate copulas using pair-copula constructions . Journal of Financial Econometrics , 8 : 511 – 46 .
   Web of Science ®Google Scholar
• Min , A and Czado , C . 2011 . Bayesian model selection for multivariate copulas using pair-copula constructions . Canadian Journal of Statistics , 39 : 239 – 58 .
   Web of Science ®Google Scholar
• Patton , AJ . 2004 . On the out-of-sample importance of skewness and asymmetric dependence for asset allocation . Journal of Financial Econometrics , 2 : 130 – 68 .
   Google Scholar
• Patton , AJ . 2006 . Modelling asymmetric exchange rate dependence . International Economic Review , 47 : 527 – 56 .
   Web of Science ®Google Scholar
• Pitt , M , Chan , D and Kohn , R . 2006 . Efficient Bayesian inference for Gaussian copula regression models . Biometrika , 93 : 537 – 54 .
   Web of Science ®Google Scholar
• Raftery , AE . 1996 . “ Hypothesis testing and model selection ” . In Markov Chain Monte Carlo in Practice , Edited by: Gilks , WR , Richardson , S and Spiegelhalter , D . 163 – 88 . London : Chapman and Hall .
   Google Scholar
• Rodriguez , JC . 2007 . Measuring financial contagion: a copula approach . Journal of Empirical Finance , 14 : 401 – 23 .
   Google Scholar
• Salmon , F . 2009 . Recipe for disaster: the formula that killed Wall Street, Wired Magazine 23 February 2009
   Google Scholar
• Sklar , M . 1959 . Fonctions de répartition à n dimensions et leurs marges . Publications de l'Institut de Statistique de l'Université de Paris , 8 : 229 – 31 .
   Google Scholar
• Smith , M , Min , A , Almeida , C and Czado , C . 2010 . Modeling longitudinal data using a pair-copula decomposition of serial dependence . Journal of the American Statistical Association , 105 : 1467 – 79 .
   Web of Science ®Google Scholar
• van den Goorbergh , RWJ , Genest , C and Werker , BJM . 2005 . Bivariate option pricing using dynamic copula models . Insurance: Mathematics and Economics , 37 : 101 – 14 .
   Web of Science ®Google Scholar
• Yahoo! (2011) Yahoo! Finance. Available at http://finance.yahoo.com (accessed 1 January 2011)
   Google Scholar
• Yu , J and Meyer , R . 2006 . Multivariate stochastic volatility models: Bayesian estimation and model comparison . Econometric Reviews , 25 : 361 – 84 .
   Web of Science ®Google Scholar