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題名 兩篇有關信用違約交換的論文
Two Essays on Credit Default Swaps
作者 陳怡璇
Chen,Yi-Hsuan
貢獻者 杜化宇<br>王克陸
Tu, Anthony H.<br>Wang, Kehluh
陳怡璇
Chen,Yi-Hsuan
關鍵詞 信用違約交換
相依性結構
Credit default swap
dependence structure
日期 2005
上傳時間 14-Sep-2009 09:04:25 (UTC+8)
摘要 信用衍生性商品於近十年來已快速發展,為反映信用風險管理的迫切需求,本篇論文將以實證的方式探討信用衍生性市場。尤其著重在信用違約交換市場,因其佔信用衍生性市場的交易量高達45%。本篇論文分別討論以下二個議題:第一個議題乃在探討股票報酬率的峰態係數與信用違約交換報酬率的關係。第二個議題乃著重探討拉丁美洲國家的信用違約交換對阿根廷事件的反應。
The development of credit derivatives in the past decade has brought about pronounced innovations in the markets. To reflect dramatic demand in managing credit risk, this thesis dedicates to the empirical world of credit derivatives markets. We especially focus on Credit Default Swaps (CDS) market due to its most widely trading in credit derivatives markets, capturing almost 45% of the market shares. This thesis encompasses two essays related to CDS. In the first essay, we attempt to extend empirical explanation of CDS premiums by considering the excess kurtosis of equity return distribution. As well, we show how copula functions can be applied to specify both the dependence structure and the tail relationship between CDS return and kurtosis of equity distribution. We contribute to the better specification of the dependence structure between the CDS return and the corresponding kurtosis, and provide an illustration of its implication which may be misled using conventional methods.
     In the second essay, we turn to focus on CDS in emerging markets. Thereby, further policy-oriented applications for governments can be extra induced. We empirically study the correlated default at sovereign level in Latin America region due to the eruption of Argentina debt crisis in 2001. A comprehensive understanding of correlated default at sovereign level is of critical importance in several respects. From the government and IMF point of views, the comovement in sovereign credit default swaps can serve as one of the leading indicators of financial crises. From the perspectives of mutual funds and banks, correlated movement which exists in sovereign CDS spreads is regarded as one of the measures of country risk premium. The findings and the associated methodology can provide useful insights not only to policymakers but also to whoever is interested in credit derivatives markets, particularly in emerging markets. From the methodology point of view, applying a copula method to identify the contagion corresponds to the arguments from Bae et. al. (2003) and Dungey and Tambakis (2003), the further challenge is to develop a model for capturing the nonlinear property.
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Andersen, T.L. and Benzoni, J., L., 2002. ‘An empirical investigation of continuous-time equity return models’, Journal of Finance 57, 1239-1284.
Andreev, A. and Kanto.A, 2005. ‘Conditional value-at-risk estimation using non-inter values of degree of freedom in Student’s t-distribution’, The Journal of Risk 7, 55-62
Ang, A. and Bekaert, G., 2002. ‘International asset allocation under regime switching’, Review of Financial Studies 15, 1137-1187
Avellaneda, M., Wu, W., 2001. ‘Credit contagion: Pricing cross-country risk in brady debt markets’, International Journal of Theoretical and Applied Finance 4, 921-938.
Bae, K. H., Karolyi, G. A. and Stulz, R. M., 2003. ‘A new approach to measuring financial contagion’, The Review of Financial Studies 16, 717-763.
Baek, In-Mee, Bandopadhyaya, A. and Du, C., 2005. ‘Determinants of market-assessed sovereign risk: Economic fundamentals or market risk appetite?’, Journal of International Money and Finance 24, 533-548
Bauer, C. Herz, B. and Karb, V., 2003. ‘Another twin crisis: Currency and debt’, working paper, University of Bayreuth.
Bates, D. S., 1996. ‘Jump and stochastic volatility: Exchange rate process implicit in Deutsche Mark options’, The Review of Financial Studies, 9, 69-107.
Batten,J. and Hogan,W., 2002. ‘A perspective on credit derivatives’, International Review of Financial Analysis 11, 251-278
Beattie, J., 2000. ‘Contagion in Latin America: An analysis of credit derivatives’, working paper, Duke University.
Bee, M., 2004. ‘Modeling credit default swap spreads by means of normal mixtures and copulas’, Applied Mathematical Finance 11, 125-146.
Bekaert, G., Harvey, C. R. and Ng, A., 2005. ‘Market integration and contagion’, Journal of Business 78, 39-69
Benkert, C., 2004. ‘Explaining Credit Default Swap Premia’, The Journal of Futures Markets 24, 71-92
Berg, A., Patillo, C., 1999. ‘Are currency crises predictable? A test’, IMP Staff Papers 46, 107-138
Blanco,R, Brennan,S and Marsh, I.W., 2005. ‘An empirical analysis of the dynamic relation between investment-grade bonds and credit default swaps’, Journal of Finance 60, 2255-2281.
Boehmer, B. and Megginson, W. L., 1990. ‘Determinants of secondary market prices for developing country syndicated loans’, Journal of Finance 45, 1517-1540
Caporale, G. M, Cipollini, A. and Spagnolo, N., 2005. ‘Testing for contagion: a conditional correlation analysis’, Journal of Empirical Finance 12, 476-489
Cariboni, J. and Schoutens, W., 2004. ‘Pricing credit default swaps under Levy model’, working paper, European Commission and K.U. Leuven.
Chacko, G. and Viceira, L. M., 2003. ‘Spectral GMM estimation of continuous-time processes’, Journal of Econometrics 116, 259-292.
Chan-Lau, Jorge A., 2003. ‘Anticipating credit events using credit default swaps, with an application to sovereign debt crises’, IMF working paper.
Cherubini, U., Luciano, E. and Vecchiato, W., 2004. ‘Copula method in finance’, John Wiley & Sons, Ltd.
Clemente, A. and Romano, C., 2004. ‘Measuring and optimizing portfolio credit risk: A copula-based approach’, Economic Notes 33, 325-357.
Collin-Dufresne, P., Goldstein, R. S. and Martin, J. S., 2001. ‘The determinants of credit spread changes’, Journal of Finance 56, 2177-2207.
Cossin, D. and Hricko, T., 2001. ‘Exploring for the determinants of credit risk in credit default swap transaction data’, working paper, University of Lausanne.
Dages, B.G., Palmer, D. and Turney, S., 2005. ‘An overview of the emerging market credit derivatives market’, Federal Reserve Bank of New York
Dias, A. and Embrechts, P., 2003. ‘Dynamic copula models for multivariate high-frequency data in finance’, working paper, Department of Mathematics, ETH Zurich University in Switzerland.
Didier, T., Mauro, P. and Schmukler, S., 2006. ‘Vanishing contagion?’, IMF working paper.
Drost, F.C., Nijman,T.E. and Werker, B.J.M., 1998. ‘Estimation and testing in models containing both jumps and conditional heteroskedasticity’, Journal of Business and Economic Statistics 16, 237-243.
Duffie,D., 1999. ‘Credit swap valuation’, Financial Analysts Journal 55, 73-87.
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Forbes, K.J., 2004. ‘The Asian flu and Russian virus: the international transmission of crises in firm-level data’, Journal of International Economics 63, 59-92
Forbes, K.J. and Rigobon, R., 2002. ‘No contagion, only interdependence: measuring stock market comovements’, Journal of Finance 57, 2223-2261.
Frey, R., and McNeil, A.J., 2001. ‘VaR and expected shortfall in portfolios of dependent credit risks: Conceptual and practical insights’, Journal of Banking and Finance 26, 1317-1334.
Friend, A. and Rogge, E., 2005. ‘Correlation at first sight’, Economic Notes 34, 155-183.
Galiani, S. S., 2003. ‘Copula functions and their application in pricing and risk managing multi-name credit derivatives products’, working paper, University of London.
Gande, A. and Parsley, D.C., 2005. ‘News spillovers in the sovereign debt market’, Journal of Financial Ecnomics 75, 691-734.
Gelos, R. G. and Wei, S.J., 2005. ‘Transparency and International Portfolio Holdings’, The Journal of Finance LX, 2987-3020
Giesecke, K., 2002. ‘Correlated Default, incomplete information, and the term structure of credit spreads’, a dissertation in Humboldt University.
Giesecke, K., 2004. ‘Credit risk modeling and valuation: An introduction’, published in Credit risk: Models and Management 2nd edition, London.
Giesecke, K., 2004. ‘Correlated default with incomplete information’, Journal of Banking and Finance, 28, 1521-1545.
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Heikkinen, V-P. and Kanto, A., 2002. ‘Value-at-risk estimation using non-integer degrees of freedom of Student’s distribution’, The Journal of Risk 4, 77-84
Herz, B and Tong, H. 2003. ‘Debt and currency crisis’, University of Bayreuth discussion paper.
Hull, J. C and White, A., 2000. ‘Valuing credit default swaps I: no counterparty default risk’, Journal of Derivatives 8, 29-40
Hull, J. C and White, A, 2000. ‘Valuing credit default swaps II: modeling default correlation’, Journal of Derivatives 8, 12-22
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描述 博士
國立政治大學
財務管理研究所
91357505
94
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0913575051
資料類型 thesis
dc.contributor.advisor 杜化宇<br>王克陸zh_TW
dc.contributor.advisor Tu, Anthony H.<br>Wang, Kehluhen_US
dc.contributor.author (Authors) 陳怡璇zh_TW
dc.contributor.author (Authors) Chen,Yi-Hsuanen_US
dc.creator (作者) 陳怡璇zh_TW
dc.creator (作者) Chen,Yi-Hsuanen_US
dc.date (日期) 2005en_US
dc.date.accessioned 14-Sep-2009 09:04:25 (UTC+8)-
dc.date.available 14-Sep-2009 09:04:25 (UTC+8)-
dc.date.issued (上傳時間) 14-Sep-2009 09:04:25 (UTC+8)-
dc.identifier (Other Identifiers) G0913575051en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/31020-
dc.description (描述) 博士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 財務管理研究所zh_TW
dc.description (描述) 91357505zh_TW
dc.description (描述) 94zh_TW
dc.description.abstract (摘要) 信用衍生性商品於近十年來已快速發展,為反映信用風險管理的迫切需求,本篇論文將以實證的方式探討信用衍生性市場。尤其著重在信用違約交換市場,因其佔信用衍生性市場的交易量高達45%。本篇論文分別討論以下二個議題:第一個議題乃在探討股票報酬率的峰態係數與信用違約交換報酬率的關係。第二個議題乃著重探討拉丁美洲國家的信用違約交換對阿根廷事件的反應。zh_TW
dc.description.abstract (摘要) The development of credit derivatives in the past decade has brought about pronounced innovations in the markets. To reflect dramatic demand in managing credit risk, this thesis dedicates to the empirical world of credit derivatives markets. We especially focus on Credit Default Swaps (CDS) market due to its most widely trading in credit derivatives markets, capturing almost 45% of the market shares. This thesis encompasses two essays related to CDS. In the first essay, we attempt to extend empirical explanation of CDS premiums by considering the excess kurtosis of equity return distribution. As well, we show how copula functions can be applied to specify both the dependence structure and the tail relationship between CDS return and kurtosis of equity distribution. We contribute to the better specification of the dependence structure between the CDS return and the corresponding kurtosis, and provide an illustration of its implication which may be misled using conventional methods.
     In the second essay, we turn to focus on CDS in emerging markets. Thereby, further policy-oriented applications for governments can be extra induced. We empirically study the correlated default at sovereign level in Latin America region due to the eruption of Argentina debt crisis in 2001. A comprehensive understanding of correlated default at sovereign level is of critical importance in several respects. From the government and IMF point of views, the comovement in sovereign credit default swaps can serve as one of the leading indicators of financial crises. From the perspectives of mutual funds and banks, correlated movement which exists in sovereign CDS spreads is regarded as one of the measures of country risk premium. The findings and the associated methodology can provide useful insights not only to policymakers but also to whoever is interested in credit derivatives markets, particularly in emerging markets. From the methodology point of view, applying a copula method to identify the contagion corresponds to the arguments from Bae et. al. (2003) and Dungey and Tambakis (2003), the further challenge is to develop a model for capturing the nonlinear property.
en_US
dc.description.tableofcontents Chapter 1. Introduction 1
     Chapter 2. Copula Methodology and Its Application on Credit Derivatives 6
     2.1 Copula Functions 7
     2.2 Measure of Dependence 12
     2.3 Estimating and Calibrating Copula Models 17
     2.3.1 Exact Maximum Likelihood Method (EML) 17
     2.3.2 The Inference Functions for Margins Method (IFM) 18
     2.3.3 The Canonical Maximum Likelihood Method (CML) 19
     2.3.4 GARCH Filter Method 20
     2.3.5 Mashal and Zeevi 2002 Method 21
     2.3.6 Copula Application on Credit Derivatives 21
     Chapter 3. Essay One: Dependence Structure between the Credit Default Swap Return and the Kurtosis of the Equity Return Distribution 24
     3.1 Introduction 24
     3.2 The Recent Empirical Issues on CDS 27
     3.3 A Copula-Based Correlation Measurement 29
     3.4 Data Description 31
     3.5 Empirical Results 32
     3.5.1 Normality Test and Descriptive Statistics 32
     3.5.2 Comparable Correlation Measures 32
     3.5.3 Estimating Dependence Parameters 33
     3.5.4 Goodness-of-fit Test 34
     3.5.5 Computing Coefficients of Tail Dependence 35
     3.5.6 Density Plot 36
     3.6 Concluding Remark 37
     Chapter 4. Essay two: Default correlation at sovereign level: Evidence from Latin America markets 38
     4.1 Introduction 38
     4.2 The Emerging Market Credit Derivatives Market 43
     4.2.1 The Role of Sovereign Bonds in Emerging Markets 43
     4.2.2 Sovereign Credit Default Swaps in EMCD Market 44
     4.3 A Copula-Based Correlated Sovereign Default 46
     4.4 Data Description and Background of 2001 Argentina Debt Crisis 49
     4.5 Empirical Results 50
     4.5.1 Summary Statistics of Sovereign CDS Spreads 51
     4.5.2 Comparable Correlation Measures 52
     4.5.3 Calibrating and Estimating Parameters via IFM Approach 52
     4.5.4 Calibrating and Estimating Parameters via CML Approach 54
     4.5.5 Calibrating and Estimating Parameters via GARCH Filter Approach 58
     4.5.6 Computing Coefficients of Tail Dependence 60
     4.5.7 Density Plot 61
     4.6 Concluding Remark 62
     Chapter 5. Implications and Future Works 64
     Reference 103
     Appendix 109
     Proof of Proposition 1 109
     Proof of Proposition 2 109
     Proof of Proposition 5 110
     Derive the Log-Likelihood Function of Multivariate Gaussian Copula 110
     Derive the Log-Likelihood Function of Multivariate Student’s t Copula 111
     Derive the Log-Likelihood Function of Bivariate Gumbel Copula 111
     Derive the Log-Likelihood Function of Bivariate Rotoated Gumbel Copula 112
     Derive the Log-Likelihood Function of Bivariate Clayton Copula 113
     Derive the Log-Likelihood Function of Bivariate Frank Copula 113
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0913575051en_US
dc.subject (關鍵詞) 信用違約交換zh_TW
dc.subject (關鍵詞) 相依性結構zh_TW
dc.subject (關鍵詞) Credit default swapen_US
dc.subject (關鍵詞) dependence structureen_US
dc.title (題名) 兩篇有關信用違約交換的論文zh_TW
dc.title (題名) Two Essays on Credit Default Swapsen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) Abid,F. and Naifar, N., 2004. ‘The impact of stock returns volatility on credit default swap rates: A copula study’, International Journal of Theoretical and Applied Finance 8, 1135-1155.zh_TW
dc.relation.reference (參考文獻) Andersen, T.L. and Benzoni, J., L., 2002. ‘An empirical investigation of continuous-time equity return models’, Journal of Finance 57, 1239-1284.zh_TW
dc.relation.reference (參考文獻) Andreev, A. and Kanto.A, 2005. ‘Conditional value-at-risk estimation using non-inter values of degree of freedom in Student’s t-distribution’, The Journal of Risk 7, 55-62zh_TW
dc.relation.reference (參考文獻) Ang, A. and Bekaert, G., 2002. ‘International asset allocation under regime switching’, Review of Financial Studies 15, 1137-1187zh_TW
dc.relation.reference (參考文獻) Avellaneda, M., Wu, W., 2001. ‘Credit contagion: Pricing cross-country risk in brady debt markets’, International Journal of Theoretical and Applied Finance 4, 921-938.zh_TW
dc.relation.reference (參考文獻) Bae, K. H., Karolyi, G. A. and Stulz, R. M., 2003. ‘A new approach to measuring financial contagion’, The Review of Financial Studies 16, 717-763.zh_TW
dc.relation.reference (參考文獻) Baek, In-Mee, Bandopadhyaya, A. and Du, C., 2005. ‘Determinants of market-assessed sovereign risk: Economic fundamentals or market risk appetite?’, Journal of International Money and Finance 24, 533-548zh_TW
dc.relation.reference (參考文獻) Bauer, C. Herz, B. and Karb, V., 2003. ‘Another twin crisis: Currency and debt’, working paper, University of Bayreuth.zh_TW
dc.relation.reference (參考文獻) Bates, D. S., 1996. ‘Jump and stochastic volatility: Exchange rate process implicit in Deutsche Mark options’, The Review of Financial Studies, 9, 69-107.zh_TW
dc.relation.reference (參考文獻) Batten,J. and Hogan,W., 2002. ‘A perspective on credit derivatives’, International Review of Financial Analysis 11, 251-278zh_TW
dc.relation.reference (參考文獻) Beattie, J., 2000. ‘Contagion in Latin America: An analysis of credit derivatives’, working paper, Duke University.zh_TW
dc.relation.reference (參考文獻) Bee, M., 2004. ‘Modeling credit default swap spreads by means of normal mixtures and copulas’, Applied Mathematical Finance 11, 125-146.zh_TW
dc.relation.reference (參考文獻) Bekaert, G., Harvey, C. R. and Ng, A., 2005. ‘Market integration and contagion’, Journal of Business 78, 39-69zh_TW
dc.relation.reference (參考文獻) Benkert, C., 2004. ‘Explaining Credit Default Swap Premia’, The Journal of Futures Markets 24, 71-92zh_TW
dc.relation.reference (參考文獻) Berg, A., Patillo, C., 1999. ‘Are currency crises predictable? A test’, IMP Staff Papers 46, 107-138zh_TW
dc.relation.reference (參考文獻) Blanco,R, Brennan,S and Marsh, I.W., 2005. ‘An empirical analysis of the dynamic relation between investment-grade bonds and credit default swaps’, Journal of Finance 60, 2255-2281.zh_TW
dc.relation.reference (參考文獻) Boehmer, B. and Megginson, W. L., 1990. ‘Determinants of secondary market prices for developing country syndicated loans’, Journal of Finance 45, 1517-1540zh_TW
dc.relation.reference (參考文獻) Caporale, G. M, Cipollini, A. and Spagnolo, N., 2005. ‘Testing for contagion: a conditional correlation analysis’, Journal of Empirical Finance 12, 476-489zh_TW
dc.relation.reference (參考文獻) Cariboni, J. and Schoutens, W., 2004. ‘Pricing credit default swaps under Levy model’, working paper, European Commission and K.U. Leuven.zh_TW
dc.relation.reference (參考文獻) Chacko, G. and Viceira, L. M., 2003. ‘Spectral GMM estimation of continuous-time processes’, Journal of Econometrics 116, 259-292.zh_TW
dc.relation.reference (參考文獻) Chan-Lau, Jorge A., 2003. ‘Anticipating credit events using credit default swaps, with an application to sovereign debt crises’, IMF working paper.zh_TW
dc.relation.reference (參考文獻) Cherubini, U., Luciano, E. and Vecchiato, W., 2004. ‘Copula method in finance’, John Wiley & Sons, Ltd.zh_TW
dc.relation.reference (參考文獻) Clemente, A. and Romano, C., 2004. ‘Measuring and optimizing portfolio credit risk: A copula-based approach’, Economic Notes 33, 325-357.zh_TW
dc.relation.reference (參考文獻) Collin-Dufresne, P., Goldstein, R. S. and Martin, J. S., 2001. ‘The determinants of credit spread changes’, Journal of Finance 56, 2177-2207.zh_TW
dc.relation.reference (參考文獻) Cossin, D. and Hricko, T., 2001. ‘Exploring for the determinants of credit risk in credit default swap transaction data’, working paper, University of Lausanne.zh_TW
dc.relation.reference (參考文獻) Dages, B.G., Palmer, D. and Turney, S., 2005. ‘An overview of the emerging market credit derivatives market’, Federal Reserve Bank of New Yorkzh_TW
dc.relation.reference (參考文獻) Dias, A. and Embrechts, P., 2003. ‘Dynamic copula models for multivariate high-frequency data in finance’, working paper, Department of Mathematics, ETH Zurich University in Switzerland.zh_TW
dc.relation.reference (參考文獻) Didier, T., Mauro, P. and Schmukler, S., 2006. ‘Vanishing contagion?’, IMF working paper.zh_TW
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