... Factors Systematic Risk Industry Risk Industry-Specific Risk Specific Risk Country Risk Country-Specific Risk Global Economic, Regional, and Industrial Sector Risk FIGURE 1.7 Three-level factor ... LLC 2.5 2.6 2.7 One-Factor/Sector Models 2.5.1 The CreditMetricsTM /KMV One-Factor Model 2.5.2 The CreditRisk+ One-Sector Model 2.5.3 Comparison of One-Factor and One-Sector Models Loss Distributions ... Technique and Q-Matrices Term Structure Based on Market Spreads CreditDerivatives 7.1 Total Return Swaps 7.2 Credit Default Products 7.3 Basket CreditDerivatives 7.4 Credit Spread Products 7.5 Credit- linked...
... Factors Systematic Risk Industry Risk Industry-Specific Risk Specific Risk Country Risk Country-Specific Risk Global Economic, Regional, and Industrial Sector Risk FIGURE 1.7 Three-level factor ... to the philosophy of its authors Gupton, Finger, and Bhatia to make creditrisk methodology available to a broad audience in a fully transparent manner Both companies continue to contribute to ... contribute to the market of creditrisk models and tools For example, the RiskMetricsTM Group recently developed a tool for the valuation of Collateralized Debt Obligations, and KMV recently introduced...
... Process Macroeconomic Factors Definition of Risk Distance to Default (DtD) Mark -to- Model Mark -to- Model of Loan Value of Loan Value Default Risk only Default Risk only Risk Scale DtD on contin ... Factor Model Equity Value Factor Model Implicit by Macroeconomy Implicit by Sectors Correlated Intensity Proc Severity Stochastic (Beta-Distr.) and Fixed Stochastic (Beta-Distr.) and Fixed Stochastic, ... presentation of CreditMetricsTM , the KMV-Model, and the actuarian model CreditRisk+ The reason for not going too much into details is that CPV can be considered as a general framework for credit risk...
... portfolio standard deviation) In pricing tools the CM is sometimes assumed to be constant for a portfolio, even when adding new deals to it The contribution of the new deal to the total EC of ... distributions of CreditMetricsTM respectively KMV with the corresponding distribution in the CreditRisk+ world Assuming infinitely many obligors and only one sector, we obtain a situation comparable to the ... the copula concept to standard problems in creditrisk is Li [78,79], Frey and McNeil [45], Frey, McNeil, and Nyfeler [47], Frees and Valdez [44], and Wang [125] However, the basic idea of copulas...
... approach to risky debt valuation by option pricing theory is elaborated 3.1 Introductionand a Small Guide to the Literature The AVM in its original form goes back to Merton [86] and Black and Scholes ... the most widely used creditrisk models are based on the AVM, namely the KMV-Model and CreditMetricsTM The roots of the AVM are the seminal papers by Merton [86] and Black and Scholes [10], where ... approach andto the book by Baxter and Rennie [8] for a highly readable introductionto the mathematical theory of financial derivatives Another excellent book more focussing on the underlying stochastic...
... into the details of the CreditRisk+ model, we like to present a quotation from the CreditRisk+ Technical Document [18] on page There we find that CreditRisk+ focuses on modeling and managing credit ... given credit portfolio This enables users of CreditRisk+ to compute loss distributions in a quick and still “exact” manner For many applications of creditrisk models, this is a “nice -to- have” ... implemented so that everyone is free to program his or her “individual” version of CreditRisk+ There is much more to say about CreditRisk+ , but due to the introductory character of this book we will...
... elaborate introductionto the different types of creditderivativesand their use for risk management see [68,107]; for documentation and guidelines we refer to [61] 7.1 Total Return Swaps A total ... the same credit quality) with different maturities and a given recovery rate one now has to back out the credit curve To this end we have to specify also a riskless discount curve B(0, t) and an ... section back to correlated defaults and their application to basket swaps 7.3 Basket CreditDerivatives Basket default swaps are more sophisticated creditderivatives that are linked to several...
... outcome has to be reported to the trustee andto the investors The collection of tests and criteria varies from deal to deal, and not all tests included in the monthly reports automatically have ... default risk, to the investor In case the reference asset experiences a credit event, the issuer pays to the investor the recovery proceeds of the reference asset The spread between the face value and ... has access to this particular credit exposure offers a way to evade the problems hindering the investor to purchase the exposure he is interested in The issuer sells a note to the investor with...
... Process Macroeconomic Factors Definition of Risk Distance to Default (DtD) Mark -to- Model Mark -to- Model of Loan Value of Loan Value Default Risk only Default Risk only Risk Scale DtD on contin ... Factor Model Equity Value Factor Model Implicit by Macroeconomy Implicit by Sectors Correlated Intensity Proc Severity Stochastic (Beta-Distr.) and Fixed Stochastic (Beta-Distr.) and Fixed Stochastic, ... presentation of CreditMetricsTM , the KMV-Model, and the actuarian model CreditRisk+ The reason for not going too much into details is that CPV can be considered as a general framework for credit risk...
... approach to risky debt valuation by option pricing theory is elaborated 3.1 Introductionand a Small Guide to the Literature The AVM in its original form goes back to Merton [86] and Black and Scholes ... the most widely used creditrisk models are based on the AVM, namely the KMV-Model and CreditMetricsTM The roots of the AVM are the seminal papers by Merton [86] and Black and Scholes [10], where ... approach andto the book by Baxter and Rennie [8] for a highly readable introductionto the mathematical theory of financial derivatives Another excellent book more focussing on the underlying stochastic...
... elaborate introductionto the different types of creditderivativesand their use for risk management see [68,107]; for documentation and guidelines we refer to [61] 7.1 Total Return Swaps A total ... the same credit quality) with different maturities and a given recovery rate one now has to back out the credit curve To this end we have to specify also a riskless discount curve B(0, t) and an ... section back to correlated defaults and their application to basket swaps 7.3 Basket CreditDerivatives Basket default swaps are more sophisticated creditderivatives that are linked to several...
... outcome has to be reported to the trustee andto the investors The collection of tests and criteria varies from deal to deal, and not all tests included in the monthly reports automatically have ... default risk, to the investor In case the reference asset experiences a credit event, the issuer pays to the investor the recovery proceeds of the reference asset The spread between the face value and ... has access to this particular credit exposure offers a way to evade the problems hindering the investor to purchase the exposure he is interested in The issuer sells a note to the investor with...
... [76] D Lamberton and B Lapeyre Introductionto Stochastic Calculus Applied to Finance Chapman & Hall, 1996 [77] D Lando Modelling Bonds andDerivatives with Default Risk Mathematics of Derivatives ... – Introductionto arbitrage CDOs, cash flow and synthetic [6] • J.P.Morgan: – A “CDO Handbook”, providing a good overview andintroductionto CDOs [69] – The JPM guide tocredit derivatives, also ... Thompson, and C Browne Taking to the saddle Risk, 14(7):91–94, June 2001 [83] R Mashal and M Naldi Extreme vents and default baskets Risk, 15(6):119–122, June 2002 [84] B Masters Creditderivatives and...
... single contingent claim, possibly a credit claim, with maturity T and payoff hT To an investor starting with initial wealth π0 and engaging into a strategy θ relative to some tradable assets25 , (having ... goes up and the investor finds himself under-invested in B With positive correlation, the risky zero will be more expensive to buy It follows that the investor will have to buy at the high, (and similarly ... related claim is equivalent to the single claim with maturity T and payoff g(FT )BT An investor entering into a strategy θ relative to F W (up to time D), using W to fund his position in F W...
... callability , andcreditrisk (constituting both the risk of default and the risk of volatility in credit spreads) If the only way to adjust creditrisk is to buy or sell that bond, and consequently ... desk-top PC, CreditM anager allows users to capture, calculate and display the inform a tion they n e e d to m a n a g e the risk of individual credit derivatives, or a portfolio of credits CreditM ... underlying creditriskCredit Swaps deepen the secondary market for creditrisk far beyond that of the secondary market of the underlying credit instrument Credit Swaps, and indeed all credit derivatives, ...
... Chapter 1: Overview of risk, significance of precluding and reducing risk in credit relationships 1.1 Riskandrisk classification in credit relationships 1.1.1 Definition of risk Risks are problems ... mechanism In general, there are following risks: interest risk, capital risk, exchange risk, payment risk, andrisk of unable to pay - Interest risks: “are the risks that the bank must bear when the ... precluding and reducing risk in credit relationships 1.1 Riskandrisk classification in credit relationships .3 1.1.1.Definition of risk .3 1.1.2.Kinds of credit risks...