Credit Risk Securitisation: A valuation study
Autor Antje Schirmen Limba Engleză Paperback – 29 noi 2004
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Specificații
ISBN-13: 9783824482429
ISBN-10: 3824482428
Pagini: 240
Ilustrații: XXVII, 210 p. 8 illus. in color.
Dimensiuni: 148 x 210 x 13 mm
Greutate: 0.29 kg
Ediția:2005
Editura: Deutscher Universitätsverlag
Colecția Deutscher Universitätsverlag
Locul publicării:Wiesbaden, Germany
ISBN-10: 3824482428
Pagini: 240
Ilustrații: XXVII, 210 p. 8 illus. in color.
Dimensiuni: 148 x 210 x 13 mm
Greutate: 0.29 kg
Ediția:2005
Editura: Deutscher Universitätsverlag
Colecția Deutscher Universitätsverlag
Locul publicării:Wiesbaden, Germany
Public țintă
ResearchCuprins
1 Introduction.- 1.1 Securitisation: traded portfolio credit risk.- 1.2 Contributions of the study.- 1.3 Outline of the study.- 2 Credit Risk Securitisation: Structures and Risk Factors.- 2.1 From cash-flow allocation to default loss transfer.- 2.2 Classification of structures.- 2.3 Literature review: modelling underlying portfolio credit risk.- 3 Underlying Credit Risk: a Reduced-Form Factor Model.- 3.1 Defaultable bond pricing.- 3.2 Factor model specification.- 4 Model Estimation.- 4.1 Outline of the estimation approach.- 4.2 Bond data for corporate spread estimation.- 4.3 Obtaining implied corporate spreads.- 4.4 Factor process estimation.- 4.5 Explanatory power of the model.- 4.6 Summary of results.- 5 CDOs: Valuation and Model Specification.- 5.1 A basic valuation model.- 5.2 Comparative-static analysis of model parameters.- 5.3 Summary of results.- 6 The Relevance of Credit Enhancements.- 6.1 Effect on tranche loss allocation.- 6.2 Spread accounts: dynamic improvement of overcollateralisation ratios.- 6.3 Full-portfolio risk transfer.- 6.4 Synthetic partial portfolio risk transfer.- 6.5 Summary and evaluation of the hedging quality of spread accounts.- 7 Empirical Pricing Comparison: the Case for Synthetic CBOs.- 7.1 Market environment and sample selection.- 7.2 Sample transactions.- 7.3 Rating assessments and tranche valuation.- 7.4 Discussion.- 8 Conclusion.- A Annotations to the CIR Model.- B Outline of the Kalman Filter Recursion.- C Complementary Tables.
Notă biografică
Dr. Antje Schirm ist wissenschaftliche Mitarbeiterin von Prof. Dr. Dr. h.c. Wolfgang Bühler am Center for Doctoral Studies in Economics and Management (CDSEM) und am Lehrstuhl für Finanzierung der Universität Mannheim.
Textul de pe ultima copertă
Credit risk securitisation permits to transfer credit default risk of bank loan portfolios to capital market investors. Both market sides realise distinct benefits: Seen from a sell-side perspective, securitisation is a powerful tool for credit risk mitigation recognised by the supervisory authorities. Seen from a buy-side perspective, investors gain exposure to portfolio credit risk by acquiring tailor-made notes, designed to meet their individual risk preferences. Being a novel investment, price discovery for issued notes is an intriguing issue.
Antje Schirm develops a pricing model for credit risk securitisation, explaining fair note issuance pricing by the underlying credit portfolio risk. This contribution resolves the two key issues on the research agenda from a strongly empirical perspective: Firstly, the underlying credit portfolio risk is modelled in a market context. This allows for model estimation using prices of traded credit-risky securities. Secondly, observed payout mechanisms of securitisation structures are translated into a derivatives pricing context. Both building blocks together permit a comparison of fair model prices to issuance prices observed in the young securitisation market, such that discrepancies are uncovered.
Antje Schirm develops a pricing model for credit risk securitisation, explaining fair note issuance pricing by the underlying credit portfolio risk. This contribution resolves the two key issues on the research agenda from a strongly empirical perspective: Firstly, the underlying credit portfolio risk is modelled in a market context. This allows for model estimation using prices of traded credit-risky securities. Secondly, observed payout mechanisms of securitisation structures are translated into a derivatives pricing context. Both building blocks together permit a comparison of fair model prices to issuance prices observed in the young securitisation market, such that discrepancies are uncovered.