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    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/36717


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    題名: 隨機違約強度模型下CDO之評價與分析－Copula方法
    作者: 蔡麗君
    貢獻者: 廖四郎
    呂桔誠
    蔡麗君
    關鍵詞: 資產擔保證券化
    擔保債權證券
    分券
    ABS
    CDO
    Tranches
    Copula
    日期: 2004
    上傳時間: 2009-09-18 19:21:38 (UTC+8)
    摘要: 資產證券化一詞源自1970年代，而第一筆資產基礎證券的發行則始於1986 年。由於其具有自資本市場直接融資、降低籌資成本、分散籌資來源、提高資本適足率等誘因之下，逐漸受到銀行以及其他企業的重視，並發展成為固定收益證券市場中比重相當大的一環。擔保債權證券交易自1988年出現在美國，然後在歐美迅速發展，目前已成為重要債券市場之一。台灣金融產業發展正值轉型期，銀行除面對低利率帶來經營壓力之外，同時亦需規避評等較差之企業貸款的信用風險，而保險業者在低利率時代來臨卻無良好報酬之投資標的可供投資。因此，此環境乃為推動證券化之良好契機。自1997年發生東南亞金融危機，乃至1998年韓國的亞洲金融危機，造成許多跨國企業紛紛裁員、關廠、甚至倒閉，造成一連串的金融危機連鎖效應。因此，公司間或產業間之榮枯是相互關聯的，且均會受總體經濟因素所影響。是以，近年來信用風險亦成為近年來財務領域上重要議題。理論或實證上，當多個標的資產之信用衍生性商品被加以開發，並用來管理信用風險的時候，需考慮多個標的資產間的違約相關性，方能準確地衡量信用風險。故在信用風險管理與信用衍生性商品的評價中，違約相關性的估計與考量顯得格外重要。結構式或縮減式模型在發展違約相關性的多變數模型中是困難的，因為其衍生性商品價值的理論推導繁複或其數值計算是相當費時。本研究是假設隨機違約強度模式下，並在多標的資產之信用風險評價模型中，透過適當個別資產之邊際違約機率與Copula函數之選擇，及其相關參數之估算，即可快速求算具違約相關性之多變數聯合機率函數，以利擔保債權證券(CDO)之評價，並模擬出未來可能損失分配，進行主次順位架構下不同分券比例的敏感度分析，以瞭解不同的次順位劃分比例對於各順位分券風險值的影響程度為何。另外，隨著國內目前證券化腳步的發展，在未來證券化商品勢必成為市場上的主流商品之一，將來可供證券化的資產種類勢必也會增加。因此，為了提高投資人對於不同資產種類的投資信心，以方便發行人對於證券化商品的銷售，信用增強機制在證券化中所佔的地位也將更形重要。在這樣的情況下，評估標的資產可能的違約損失，以決定信用增強的比例該為多少，對於發行人而言也將會是一項重要的課題。因此本文針對Copula方法與分析架構做一剖析，再以國內第一檔公募之擔保債權證券－法國里昂信貸銀行企業貸款為例，進行模擬實證並分析結果。
    本研究結論如下：在信用風險管理與信用衍生性商品評價中，違約相關性是ㄧ個重要的因子。此外，本研究發現違約回收率、標的資產間的相關係數以及違約機率等三者均會影響分券信用價差的評價：就權益分券而言，信用價差與相關係數是呈反比的，而次償分券表現出來也與權益分券大致相同，相對於權益分券與次償分券，先償分券之信用價差則與債權群組內標的資產間的相關係數則是呈正比的。實證結果亦顯示，承購風險性較高的分券其估算出的合理的風險溢酬也較高，此外，當違約回收率愈高時，債務人違約後的損失愈低，因此發行者需給予證券投資人的合理風險溢酬也愈低。另外，債務人的信用評等高低影響違約機率的大小，其亦是影響CDO商品合理溢酬高低的主要關鍵。再者，假使忽略債務人之間的違約相關性時，則各分券所估算出來的合理溢酬均會有所偏誤。因此，此結果隱含，評價CDO商品之合理溢酬時，需考慮債權群組內資產間的違約相關性，亦即投資人所面對風險除分券本身的信用風險外，還需考慮到債權人違約相關之風險，違約相關性愈高則投資者所面對的風險也較高。另外，介於先償分券與權益分券之間的次償債之信用價差，其信用價差大小大致上約介於先償分券與權益分券之間，而預期損失金額則是受到各順位分券比例大小不同，而有所差異。因此，將再進行主次順位架構下不同分券比例的敏感度分析，結果顯示若次順位債權分券（即權益分券）比例愈高，愈有信用增強之作用。
    最後，若將本研究所估算出來分券的合理溢酬與實際CDO契約所載明計算出的結果相比較，其間差異並不大。因此本研究所建構的評價模型應能提供發行者與市場投資人一個評價基礎，不失為一種可行方法。
    參考文獻: 參考文獻
    Andersen, L., J. Sidenius, and S. Basu(2003), “All your hedges in one basket,” RISK, November 2003.
    Andersen, L. and J. Sidenius(2004), “Extensions to the Gaussian copula：random recovery and random factor loadings,” working paper, Bank of America, June.
    Anson M. J. P., F. J. Fabozzi, M. Choudhry and R. R. Chen(2004), Credit derivatives—instruments, applications, and pricing, John Wiley ＆ Sons, Inc.
    Arvanitis and Gregory(2001), Credit：The Complete Guide to Pricing, Hedging and Risk Management. Risk Publications.
    Black, F. and J. C. Cox(1976), “Valuing corporate securities：some effects of bond indenture provisions,” Journal of Finance 31, pages 351-367.
    Bluhm, C., L. Overbeck and C. Wagner(2002), An introduction to credit risk modeling, Chapman & Hall.
    Carey M.(1998), “Credit risk in private debt portfolios,” Journal of Finance 53(4), pages 1363-1387.
    Chen, Ren-Raw and Ben J. Sopranzetti(2003), “The valuation of default-triggered credit derivative,”Journal of Financial and Quantitative Analysis, Vol. 38(2).
    Cherubini, U., E. Luciano and W. Vecchiato(2004), Copula methods in finance, John Wiley ＆ Sons, Ltd.
    Choudhry, M.(2004), “Structured credit products－credit derivatives & synthetic securitization, ” Wiley Finance.
    Cifuentes, A. and G. O’Connor(1996), The binomial expectation method applied to CBO/CLO analysis, Moody’s Special Report, Dec 13th 1996
    Crosbie, P.J. and J.R. Bohn(2002), “Modeling default risk,” Moody’s KMV
    Crouhy, M., D. Galai and R. Mark(2000), “A comparative analysis of current credit risk models,” Journal of Banking and Finance 24, pages 59-117.
    Davis, M. and V. Lo(2001), “Infectious defaults,” Quantitative Finance 1, pages 382-387.
    Das, S., Fong, G. and Geng, G. (2001), “The Impact of Correlated Default Risk on Credit Portfolios,” Journal of Fixed Income, 11(3), 9-19.
    Delianedis, G. and R. Geske(1998), “Credit risk and risk neutral default probabilities: information about migrations and defaults, ” University of California at Los Angeles, Anderson Graduate School of Management 1114, Anderson Graduate School of Management, UCLA.
    Duffie, D. and K. Singleton(1999), “Modeling term structure of defaultable bonds,” Review of Financial Studies, 12, pages 687-720.
    Duffie, D. and N. Garleanu(2001), “Risk and valuation of collateralized debt obligations,” Finance Analysis Journal 57(1), pages 41-59.
    Frey, R. and A. J. McNeil(2001), “Modeling dependent defaults,” Working paper, Department of Mathematics, ETH Zurich.
    Galiani, S. S.(2003), “Copula functions and their application in pricing and risk managing multiname credit derivative product,” working paper,
    Garcia, J., T. Dwyspelaere , L. Leonard, T. Alderweireld and T.V. Gestel(2005), “Comparing bet and cash flows CDO’s,” working paper
    Giesecke, K.(2001), “Structural modeling of correlated defaults with incomplete information,” working paper, Humboldt University.
    Giesecke, K. and S. Weber(2004), “Cyclical correlations, credit contagion, and portfolio losses,” Journal of Banking and Finance 28(12), pages 3009-3036.
    Gill K., R. Gambel, R. V. Hrvatin, H. Katz, G. Ong and D. Carroll(2004), “Global rating criteria for collateralized debt obligations,” structured finance, Fitchratings , 13th Sep. 2004
    Gordy, M. B.(2000), “A comparative anatomy of credit risk models”, Journal of Banking and Finance 24, pages 119-149.
    Gupton, G.M., C. C. Finger and M. Bhatia(1997), “ CreditMetrics -technical document,” Morgan Guaranty Trust Company
    Gupton, G. M.(2004), “Portfolio credit risk models,” credit derivatives –the definitive guide edited by Jon Gregory, Risk Books
    Hull, J. and A. White(2004), “Valuation of a CDO and an n-th to default CDS without Monte Carlo simulation,” Journal of Derivatives 12(2), pages 8-48.
    Hurst, R. R.(2001), “CDOs backed by ABS and commercial real estate,” Investing in collateralized debt obligations, edited by Frank J. Fabozzi and Laurie S. Goodman
    Jarrow, R., D. Lando, and S. Turnbull(1997), “A Markov model for the term structure of credit spread,” Review of Financial Studies 10, pages 481- 523.
    Jarrow, R. and S. Turnbull(1995), “Pricing derivatives on financial securities subject to credit risk,” Journal of Finance 50, pages 53- 85.
    Jarrow, R. and F. Yu(2001), “Counterparty risk and the pricing of defaultable securities,” The Journal of Finance 56, pages 1765- 1799.
    Kijima, M. and Y. Muromachi(2000), “Credit events and the valuation of credit derivatives of basket type, ”Review of Derivatives Research 4(1), pages 53-77.
    Lando, D.(1998), “On Cox processes and credit risky securities,” Review of Derivatives Research, Vol.2, pages 99-120.
    Laurent, J.P. and J. Gregory(2003), “Basket default swaps, CDO’s and factor copulas,” working paper, ISFA Actuarial School, University of Lyon
    Lee, C. W., C. K. Kuo and J.L. Urrutia(2004), “A Poisson model with common shocks for CDO valuation,” The Journal of Fixed Income 14(3), pages 72-82.
    Li, D. X.(2000), “On default correlation: A copula function approach,” The RiskMetrics Group working paper number 99-07
    Li, D. X.(2002), “Valuing synthetic CDO tranches using copula function approach,” The RiskMetrics Group working paper
    Lin, S. Y.(2004), “Two essays on credit derivatives: CB asset swap and CDO,” Working paper
    Marshall, A. W. and I. Olkin(1988), “Families of multivariate distributions,” Journal of the American Statistical Association, pages 834-841.
    Meneguzzo, D. and W. Vecchiato(2004), “Copula Sensitivity in Collateralized Debt Obligations and Basket Default Swaps,” The Journal of Futures Markets, Vol. 24(1), pages 37-70.
    Merton, R.(1974), “On the pricing of corporate debt：The risk structure of interest　rates,” Journal of Finance 29, pages 449-470.
    Mina, J.(2001),“Mark-to-market, oversight, and sensitivity analysis of CDO’s,” working paper number 01-02, RiskMetrics Group Dec 2001
    Moody’s (2001), “ Default and recovery rates of corporate bond issuers:2000,”Moody’s Investor Service, February 2001
    Perraudin, W.(2004), Structured credit products- pricing, rating, risk management and BaselⅡ, Risk Books
    Picone, D.(2004), “A survey of CDOs and their use in bank balance sheet management,” Structured Credit Products-pricing, rating, risk management and BaselⅡ edited by William Perraudin.
    Schorin, C. and S. Weinreich(2001), “Introduction to collateralized debt obligations,” Investing in collateralized debt obligations, edited by Frank J. Fabozzi and Laurie S. Goodman
    Schonbucher J. and D. Schubert(2001), “Copula-dependent default risk in intensity models,” working paper, Department of Statistics, Bonn University.
    Rogge E. and J. Schonbucher(2003), “Modeling dynamic portfolio credit risk,” working paper.
    Sklar, A.(1959), “Fonctions de repartition a n dimensions et leurs marges,” Pub. Inst. Statisr. Univ. Paris, 8, pages 229-231.
    Wilde, T.(1997), “CreditRisk+: a credit risk management framework,” Credit Suisse First Boston
    Zhou, C.(2001), “An analysis of default correlations and multiple defaults,” The Review of Financial Studies, Vol. 14(2), pages 555-576.
    參考網址
    1. The Bond Market Association
    http://www.bondmarkets.com/
    2. 行政院金融監督管理委員會銀行局
    http://www.boma.gov.tw/
    描述: 碩士
    國立政治大學
    金融研究所
    92352012
    93
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0923520121
    資料類型: thesis
    顯示於類別:[金融學系] 學位論文

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