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    题名: 金融風險測度與極值相依之應用─以台灣金融市場為例
    Measuring financial risk and extremal dependence between financial markets in Taiwan
    作者: 劉宜芳
    贡献者: 毛維凌
    劉宜芳
    关键词: 極端值理論
    極值相依度
    預期損失
    風險值
    Extreme Value Theory
    Extremal Dependence
    Expected Shortfall
    Value at Risk
    日期: 2006
    上传时间: 2009-09-18 16:06:11 (UTC+8)
    摘要: This paper links two applications of Extreme Value Theory (EVT) to analyze Taiwanese financial markets: 1. computation of Value at Risk (VaR) and Expected Shortfall (ES) 2. estimates of cross-market dependence under extreme events. Daily data from the Taiwan Stock Exchange Capitalization Weight Stock Index (TAIEX) and the foreign exchange rate, USD/NTD, are employed to analyze the behavior of each return and the dependence structure between the foreign exchange market and the equity market. In the univariate case, when computing risk measures, EVT provides us a more accurate way to estimate VaR. In bivariate case, when measuring extremal dependence, the results of whole period data show the extremal dependence between two markets is asymptotically independent, and the analyses of subperiods illustrate that the relation is slightly dependent in specific periods. Therefore, there is no significant evidence that extreme events appeared in one market (the equity market or the foreign exchange market) will affect another in Taiwan.
    參考文獻: Alexander J. McNeil, Rudiger Frey (2000), "Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach," Journal of Empirical Finance 7, 271-300.
    Ang, A. and J. Chen (2002), "Asymmetric Correlations of Equity Portfolios," Journal of Financial Economics 63, 3, pp.443-494.
    Artzner, P., F. Dellbaen, J. Eber and D. Heath (1997), "Thinking Coherently," Risk 10(11), pp. 68-71.
    Beirlant, J., J. Teugels and P. Vynckier (1996), "Practical Analysis of Extreme Values," Leuven University Press.
    Bouye, E., V. Durrleman, A. Nikeghbali, G. Riboulet and T. Roncalli (2000), "Copula for Finance-A Reading Guide and Some Applications," Groupe de Recherche Operationnelle, Credit Lyonnais, Working Paper.
    Britten-Jones, M. and Schaefer, S.M. (1999), "Non-linear Value-at-Risk," European Finance Review, 2, pp.161-187.
    Coles, S. G. and Tawn, J. A. (1991), "Modelling Extreme Multivariate Events," J. Roy. Statist. Soc. Ser. B 53, pp. 377-392.
    Coles, S. G. and Tawn, J. A. (1994), "Statistical Methods for Multivariate Extremes: An Application to Structural Design (with discussion)," Appl. Statist. 43, pp. 1-48.
    Coles, S. G. and Tawn, J. A. (1999), "Dependence Measures for Extreme Value Analyses," Extremes 3, pp. 5-38.
    Danielsson J., and C.G. de Vries (1997), "Tail Index and Quantile Estimation with Very High Frequency Data," Journal of Empirical Finance, 4, pp.241-257.
    Davison, A. C., and R. L. Smith (1990), "Models for Exceedances over High Thresholds," Journal of the Royal Statistical Society B 52}, pp. 393-442.
    de Haan, L. (1985), "Extremes in High Dimensions: the Model and Some Statistics," Proc. 45th Sess. Internat. Statist. Inst., paper 26.3. International Statistical Institute, the Hague.
    de Haan, L. and de Ronde, J. (1998), "Sea and Wind: Multivariate Extremes at Work," Extremes 1, pp. 7-45.
    Embrechts, P., C. Kluppelgerg, and T. Mikosch (1997), "Modelling Extremal Events for Insurance and Finance," Springer-Verlag, Berlin.
    Embrechts, P., S. Resnick and G. Samorodnitsky (1998), "Living on the Edge," Risk 11(1), pp. 96-100.
    Embrechts, P., A. McNeil and D. Straumann (1999), "Correlation: Pitfalls and Alternatives," Working Paper}, ETH Zurich.
    Embrechts, P., F. Lindskog and A. McNeil (2001), "Modeling Dependence with Copulas and Applications to Risk Management," Working Paper, ETH Zurich.
    Falk, M., J. Husler and R. Reiss (1994), "Laws of Small Numbers: Extremes and Rare Events," Birkhauser, Basel.
    Fisher, R. A., and L. H. C. Tippett (1928), "Limiting Forms of the Frequency Distributions of the Largest or Smallest Member of a Sample," Proceedings of the Cambridge Philosophical Society 24, pp. 180-90.
    Forbes, K. and R. Rigobon (1999), "Measuring Contagion: Conceptual and Empirical Issues," Massachusetts Institute of Technology, Sloan School of Management, Working Paper.
    Gnedenko, B. V. (1943), "Sur la distribution limite du terme d`une serie aleatoire," Annals of Mathematics, 44, pp.423-453.
    Hartmann, P., Straetmans, S. and de Vries, C. G. (2000), "Asset market linkages in crisis periods," Working paper, Erasmus University, Rotterdam.
    Heffernan, J. E. (2001), "A Directory of Coefficients of Tail Dependence," Extremes 3(3), pp. 279-290.
    Joe, H. (1997), "Multivariate Models and Dependence Concepts," Monographs on Statistics and Applied Probability, 73, Chapmann & Hall, London.
    Jondeau, E. and M. Rockinger (1999), "Conditional Volatility, Skewness and Kurtosis: Existence and Persistence," HEC Working Paper.
    Leadbetter, M. R. (1991), "On a Basis for `Peaks over Threshold` Modeling,"Statistics and Probability Letters 12, pp. 357-62.
    Ledford, A. W. and Tawn, J. A. (1996), "Statistics for Near Independence in Multivariate Extreme Values," Biometrika 83, pp. 169-187.
    Ledford, A. W. and Tawn, J. A. (1997), "Modeling dependence within joint tail regions," J. Roy. Statist. Soc. Ser. B 49, pp. 475-499.
    Ledford, A. W. and Tawn, J. A. (1998), "Concomitant Tail Behaviour for Extremes," Adv. Appl. Probab.} 30, pp. 197-215.
    Longin, F. (1996), "The Asymptotic Distribution of Extreme Stock Market Returns," Journal of Business, 63, pp.383-408.
    Longin, F. and B. Solnik (2000), "Extreme Correlation of International Equity Market," Journal of Finance 56, pp.649-679.
    Mandelbrot B.B., (1963), "The Variation of Certain Speculative Prices," Journal of Bussiness 36, pp.392-417.
    Marsh, T. A. and Wagner, N. (2000), "Return-volume Dependence and Extremes in International markets. Working paper, Haas School of Business, University of California, Berkeley.
    Martens, M. and Poon, S. (2001), "Returns Synchronization and Daily Correlation Dynamics between International Stock Markets," J. Banking Finance 25, pp. 1805-1827.
    McNeil, A. (1997), "Estimating the Tails of Loss Severity Distributions using Extreme Value Theory," ASTIN Bulletin 27, pp. 117-37.
    McNeil, A. (1999), "Extreme Value Theory for Risk Managers," Internal Modeling and CAD II published by RISK Books, pp. 93-113.
    Nelsen, R. B. (1998), "An Introduction to Copulas," Lectures Notes in Statistics, 139, Spring Verlag, New York.
    Pagan A. (1996), "The Econometrics of Financial Markets," Journal of Empirical Finance}, 7, pp. 271-300.
    Pickands, J. (1981), "Multivariate Extreme Value Distributions," in Bulletin of the International Statistical Institute, Proceedings of the 43 rd Session, Buenos Aires 1981, pp.859-878.
    Poon, S., Rockinger, M. and Tawn, J. A. (2003), "Extreme-value Dependence in Financial Markets: Diagnostics, Models and Financial Implications," The Review of Financial Studies, 17-2, pp. 581-610.
    Poon, S., Rockinger, M. and Tawn, J. A. (2003), "Modelling Extreme-value Dependence in International Stock Markets," Statistica Sinica 13, pp. 929-953.
    R. Smith (2000), "Measuring Risk with Extreme Value Theory," In P. Embrechts, editor, Extremes and Integrated Risk Management, pp. 19-35.
    Reiss, R. and M. Thomas (1996), "Statistical Analysis of Extreme Values," Birkhauser, Basel.
    Rouvinez, C. (1997), "Going Greek with VaR," Risk, 10(2), pp.57-65.
    Sklar, A. (1959), "Fontions de Repartition a n Dimentins et Leaurs Marges," Publications de l`Iniversit e de Paris, 8, 229-231.
    Stuaricua, C. (1999), "Multivariate Extremes for Models with Constant Conditional Correlations," J. Empirical Finance 6, pp. 515-553.
    Straetmans, S. (1998), "Spillovers in Financial Markets," Conference Proceedings of the HFDF-II Conference, Zurich.
    Tawn, J. A. (1988), "Bivariate Extreme Value Theory: Models and Estimation," Biometrika 75, pp. 397-415.
    Wilson, T. (1999), "Value at Risk," in Risk Management and Analysis, Vol. 1, pp.61-124.
    描述: 碩士
    國立政治大學
    經濟研究所
    93258006
    95
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