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Copula-Based Models for Financial Time Series

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  • Andrew J. Patton

Abstract

This paper presents an overview of the literature on applications of copulas in the modelling of financial time series. Copulas have been used both in multivariate time series analysis, where they are used to charaterise the (conditional) cross-sectional dependence between individual time series, and in univariate time series analysis, where they are used to characterise the dependence between a sequence of observations of a scalar time series process. The paper includes a broad, brief, review of the many applications of copulas in finance and economics.

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Bibliographic Info

Paper provided by Oxford Financial Research Centre in its series OFRC Working Papers Series with number 2008fe21.

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Length: 24
Date of creation: 2008
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Handle: RePEc:sbs:wpsefe:2008fe21

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Web page: http://www.finance.ox.ac.uk
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Cited by:
  1. Chollete, Loran & Pena, Victor de la & Lu, Ching-Chih, 2009. "International Diversification: A Copula Approach," UiS Working Papers in Economics and Finance 2009/27, University of Stavanger.
  2. Cees Diks & Valentyn Panchenko & Dick van Dijk, 2008. "Out-of-sample comparison of copula specifications in multivariate density forecasts," Discussion Papers 2008-23, School of Economics, The University of New South Wales.
  3. Vandna Jowaheer & Nafeessah Z. B. Ameerudden, 2012. "Modelling the Dependence Structure of MUR/USD and MUR/INR Exchange Rates using Copula," International Journal of Economics and Financial Issues, Econjournals, vol. 2(1), pages 27-32.
  4. Rosario Romera & Elisa M. Molanes, 2008. "Copulas in finance and insurance," Statistics and Econometrics Working Papers ws086321, Universidad Carlos III, Departamento de Estadística y Econometría.
  5. Zhun Peng, 2011. "L'analyse dynamique des dépendances," Post-Print dumas-00651795, HAL.
  6. Leonidas Tsiaras, 2010. "Dynamic Models of Exchange Rate Dependence Using Option Prices and Historical Returns," CREATES Research Papers 2010-35, School of Economics and Management, University of Aarhus.
  7. Dominique Guegan & Pierre-André Maugis, 2010. "An Econometric Study of Vine Copulas," Documents de travail du Centre d'Economie de la Sorbonne 10040, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  8. Yongmin Chen & Michael H. Riordan, 2008. "Price-increasing competition," RAND Journal of Economics, RAND Corporation, vol. 39(4), pages 1042-1058.
  9. Peter Christoffersen & Hugues Langlois, 2011. "The Joint Dynamics of Equity Market Factors," CREATES Research Papers 2011-45, School of Economics and Management, University of Aarhus.
  10. Cathy Q. Ning & Loran Chollete, 2009. "The Dependence Structure of Macroeconomic Variables in the US," Working Papers 005, Ryerson University, Department of Economics.
  11. Oleg Sokolinskiy & Dick van Dijk, 2011. "Forecasting Volatility with Copula-Based Time Series Models," Tinbergen Institute Discussion Papers 11-125/4, Tinbergen Institute.
  12. Chollete, Loran & de la Pena , Victor & Lu, Ching-Chih, 2009. "International Diversification: An Extreme Value Approach," UiS Working Papers in Economics and Finance 2009/26, University of Stavanger.

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