Copula Methods for Forecasting Multivariate Time Series

作者: Andrew Patton

DOI: 10.1016/B978-0-444-62731-5.00016-6

关键词: Volatility (finance)Multivariate statisticsMarginal distributionJoint probability distributionEconomicsEconometricsInferenceCopula (probability theory)Time seriesModel selection

摘要: … on copula-based models for forecasting economic and financial time series data. Copula-… distributions separately from the dependence structure (copula) that links these distributions to …

参考文章(144)
Halbert White, Approximate Nonlinear Forecasting Methods Research Papers in Economics. ,vol. 1, pp. 459- 512 ,(2006)
Umberto Cherubini, Sabrina Mulinacci, Fabio Gobbi, Silvia Romagnoli, Dynamic Copula Methods in Finance ,(2011)
Andrew John Patton, Applications of copula theory in financial econometrics University Microfilms International. ,(2002)
Peter Christoffersen, Hugues Langlois, The Joint Dynamics of Equity Market Factors Research Papers in Economics. ,(2011)
Valentina Corradi, Norman R. Swanson, Chapter 5 Predictive Density Evaluation Handbook of Economic Forecasting. ,vol. 1, pp. 197- 284 ,(2006) , 10.1016/S1574-0706(05)01005-0
Stéphane Daul, Enrico G. De Giorgi, Filip Lindskog, Alexander McNeil, The Grouped t-Copula with an Application to Credit Risk Social Science Research Network. ,(2003) , 10.2139/SSRN.1358956
Christoph Schleicher, Mark H. Salmon, Pricing multivariate currency options with copulas Research Papers in Economics. ,(2006)
Neil Shephard, Stochastic volatility : selected readings Research Papers in Economics. ,(2005)
Alexander J. McNeil, Paul Embrechts, Rdiger Frey, Quantitative Risk Management: Concepts, Techniques, and Tools ,(2005)
Umberto Cherubini, Walter Vecchiato, Elisa Luciano, Copula methods in finance ,(2004)