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    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/54586
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/54586


    Title: 固定比例債務憑證之研究:考量動態價差與信用傳染模型
    A study on CPDOs: considering dynamic spread movements and credit contagion
    Authors: 陳哲偉
    Contributors: 江彌修
    陳哲偉
    Keywords: 信用風險
    信用傳染
    固定比例債務憑證
    信用指數
    Date: 2011
    Issue Date: 2012-10-30 11:24:16 (UTC+8)
    Abstract: 本研究以 Variance-Gamma 動態信用價差模型與 Giesecke et al. (2011) 之動態違
    約傳染模型為基礎, 同時利用 Dorn (2010) 之固定比例債務憑證評價公式, 分析利用不同
    時期下 iTraxx Europe 市場報價進行校準下, 固定比例債務憑證評價與風險分析結果有
    何變動。
    研究結果發現, 在僅考慮價差風險下利用金融風暴前之信用指數市價校準, 此商品所
    得評價結果低於原先承諾之票面利息, 但所得風險程度仍高於以往部分文獻與發行商原先
    宣稱之低風險。 而在考慮至今包含金融風暴時期之信用指數市價校準下, 則顯露出此商品
    不管是評價或風險表現皆迅速變差, 代表以往部分文獻與發行商可能因無法預期信用指數
    市場會有大幅度波動下, 而低估了固定比例債務憑證之風險。
    同時考慮價差風險與違約風險下, 利用至今包含金融風暴之信用指數市價校準後, 可
    得到固定比例債務憑證評價結果遠高於其所承諾之票面利息, 同時此產品違約機率等風險
    指標皆顯示相當高之違約與損失可能性, 代表固定比例債務憑證在考慮較為波動之信用市
    價校準, 同時考慮較為完整之風險面後, 呈現出相當高之風險程度, 並不如原先發行機構
    所承諾之高報酬低風險之產品。
    Reference: [1] Azizpour, S.,K. Giesecke and G. Schwenkler,2011,Exploring the Sources of
    Default Clustering,Working Paper
    [2] Brigo, D.,A. Dalessandro,M. Neugebauer and F. Triki,2007, A Stochastic Pro-
    cesses Toolkit for Risk Management,Working Paper
    [3] Brigo, D.,A. Pallaviciniz and R. Torresetti,2010, Calibration of CDO Tranches
    with the Dynamical Generalized-Poisson Loss Model,Risk, 70-75
    [4] Cont, R. and P. Tankov,2004,Financial Modelling with Jump Processes,CRC:UK
    [5] Cont, R. and P. Tankov,2009, Constant Proportion Portfolio Insurance in the
    Presence of Jumps in Asset Prices,Mathematical Finance,Vol. 19, 379-401
    [6] Cont, R. and C. Jessen,2012, CPDOs:Modeling and Risk Analysis,Quantitative
    Finance, 1-20
    [7] Cont, R., editor,2009, Frontiers in quantitative finance : volatility and credit
    risk modeling,Wiley:USA
    [8] Cousin, A.,D. Dorobantu and D. Rulli" e,2011, An extension of Davis and Lo’s
    contagion model,Working Paper
    [9] Davis, M. and V. Lo,2000, Infectious defaults,Quantitative Finance,Vol.1,382-
    397.
    [10] Das, S.,D. Duffie,N. Kapadia and L. Saita,2007, Common Failings: How Cor-
    porate Defaults are Correlated, Journal of Finance,Vol.62,93-117
    [11] DBRS,2007, CPDOs Laid Bare: Structure, Risk and Rating Sensitivity,Risk
    and Rating Sensitivity,1-40
    [12] Duffie, D. and N. Garleanu,2001, Risk and Valuation of Collateralized Debt
    Obligations,Financial Analysts Journal,Vol.57,41-59
    [13] Duffie, D. and K. Singleton,2003, Credit risk : pricing, measurement, and
    management,Princeton Press:USA
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    nal of Finance,Vol.64,2089-2123
    [15] Dorn, J.,2010, Modeling of CPDOs - Identifying optimal and implied lever-
    age,Journal of Banking & Finance,Vol.34,1371-1382
    [16] Figueroa-Lópezy, J.,S. Lancettey,K. Leez, andY. Mi,2011, Estimation of NIG
    and VG models for high frequency financial data,Handbook of Modeling High-
    Frequency Data in Finance,Wiley:USA
    [17] Lando, D.,2004, Credit risk modeling : theory and applications,Princeton
    Press:USA
    [18] Linden, A.,M. Neugebauer,S. Bund,2007, First Generation CPDO:Case Study
    on Performance and Ratings,Working Paper
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    of Credit Derivatives: From Index Swaptions to CPPIs,K.U.leuven Section of
    Statistics Technical Report,1-14
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    [21] Giesecke, K.,K. Spiliopoulos and R. Sowers,2011, Default Clustering in Large
    Portfolios:Typical Events,The Annals of Applied Probability, To Appear
    [22] Giesecke,K. ,K. SpiliopouLlos,R. Sowers and J. Sirignano,2012, Large Portfolio
    Asymptotic for Loss From Default,Mathematical Finance, To Appear
    [23] Gordy, M. and S. Willemann,2010, Constant Proportion Debt Obligations: A
    Post-Mortem Analysis of Rating Models,Management Science ,Vol. 58 ,476-
    492
    [24] Joossens, W. and W. Schoutens,2008, An Overview of Portfolio Insurances:
    CPPI and CPDO,JRC Scientific and Technical Reports, 1-34
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    from Credit Default,Journal of Financial Economics,Vol. 84,860-883
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    Journal of Finance,Vol. 64,2053 2087,
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    Option Pricing,European Finance Review,Vol.2,79-105
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    toring CPDO transactions,Working Paper
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    tributions,Working Paper
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    Factor Model,Risk,1-19
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    Default Clustering: the CPDO case,Working Paper
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    Index CPDO Structures,Working Paper
    Description: 碩士
    國立政治大學
    金融研究所
    99352020
    100
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0099352020
    Data Type: thesis
    Appears in Collections:[金融學系] 學位論文

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