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Kamakura Risk Manager-Credit Risk Module KRM-cr

Kamakura’s industry leading credit risk analytics were first released in production form in May, 2000. Kamakura’s risk management software clients now for the first time can do all of these key risk management tasks in one piece of software with one data base, one graphic user interface and one set of analytical libraries:

  •  Calculate default probabilities and expected losses for sovereigns, municipalities,
  •  Corporations, and other issuers of equity and debt securities
  •  Calculate credit-adjusted, option-adjusted value
  •  Calculate credit-adjusted, option-adjusted value at risk
  •  Calculate credit-adjusted, option-adjusted hedges for credit, market and interest rate risk
  •  Calculate credit-adjusted net income simulation
  •  Stress test all risk measures for changes in any risk factor, including credit risk
  •  Kamakura Risk Manager clients are able to do credit-adjusted transfer pricing

Kamakura’s credit module KRM-cr is built solidly on the same analytical foundation underlying its other modules, with six yield curve smoothing methods and five different term structure models for valuation, pricing, and hedging of a wide range of equity securities, fixed income securities, foreign exchange contracts and an unmatched list of derivatives and exotics.

 

KRM-cr Innovations

KRM-cr has been constructed to incorporate a very substantial unpublished extension of Professor Robert Jarrow’s credit models. The full 165 page technical document containing the mathematical formulation for the model is fully disclosed to Kamakura clients. There are no black boxes at Kamakura Corporation.

Kamakura Corporation has been the leader in risk management research in general and credit risk research in particular for more than a decade. For a complete list of working papers and research in the public domain please see Kamakura’s research publications. In KRM-cr, the most important papers in the public domain which are helpful in understanding Kamakura’s approach to credit risk are these papers by Robert Jarrow and Don van Deventer of Kamakura:

Robert Jarrow, “Default Parameter Estimation Using Market Prices,” Financial Analysts Journal (September/October 2001).

This paper provides an introduction to the Jarrow reduced form credit model which has been popular with clients of the Kamakura credit module KRM-cr.

Robert Jarrow and Yildiray Yildirim, “A Simple Model for Valuing Default Swaps When Both Market Risk and Credit Risk are Correlated,” forthcoming, Journal of Fixed Income.

Jarrow and Yildirum show the power of reduced form models to model market risk and credit risk on a fully integrated basis using the example of default swaps

Robert Jarrow and Don van Deventer, “Integrating Interest Rate Risk and Credit Risk in Asset and Liability Management,” Asset and Liability Management: The Synthesis of New Methodologies, Risk Publications (1998).

Jarrow and van Deventer show that the hedging performance of reduced form models produces significantly less hedging error than hedging with the Merton model of risky debt.

Robert Jarrow and Don van Deventer, “Practical Use of Credit Risk Models in Loan Portfolio and Counterparty Exposure Management,” Credit Risk: Models and Management, Risk Publications (1999).

This Jarrow and van Deventer paper gives the default probability formulas for the Merton model of risky debt and shows that the original Merton credit model must be combined with a general equilibrium model of asset pricing to derive the default probabilities Jarrow and van Deventer show that two unobservable parameters are necessary to make this derivation and that they are the critical determinants of the default probabilities derived from the Merton model.

David Shimko, Naohiko Tejima and Don van Deventer, “The Pricing of Risky Debt when Interest Rates are Stochastic,” Journal of Fixed Income, September 1993.

Shimko, Tejima and van Deventer show that it is unnecessary to assume constant interest rates, the most common assumption in the commercial applications of the Merton model of risky debt. The authors derive a random interest rates version of the model, allowing integrated market risk and credit risk management.

The KRM-cr module has these key extensions of Kamakura’s industry-leading analytics:

1. KRM-cr implements Robert Jarrow’s reduced form model of credit risk with a time dependent default intensity

2. KRM-cr can use observable debt prices to imply both default intensity and market liquidity’s impact on observable credit spreads for sovereigns, corporations and other issuers of debt. Counterparties who are not themselves issuers of debt are modeled using another credit as a benchmark for their credit risk. Their default may or may not be correlated with the benchmark.

3. KRM-cr recognizes that the liquidity of the debt markets and the equity markets impact market prices and that this impact should not be mistaken for a change in default probabilities

4. KRM-cr introduces a seventh KRM yield curve smoothing method, maximum smoothness credit spread smoothing. Maximum smoothness credit spread smoothing, along with the Jarrow liquidity adjustment, reveals expected losses implied by debt prices with great clarity

5. KRM-cr models credit-adjusted value at risk with the true “two humped” probability distribution that results when issuers of debt are truly in distress.

 

6. KRM-cr shows the impact of default on value at risk, even with diversification, in a way that makes clear why there are fat “tails” in the true loss distribution.

 

7. KRM-cr produces default probabilities without reliance on unobservable factors like “the expected return on the market portfolio” or the correlation between two unobservable variables (both of which are necessary in using the Merton model to calculate default probabilities)

8. KRM-cr provides true credit-adjusted mark to market gains or losses and expected losses, not just replacement cost times the expected loss given default

 

Lessons from the Market on Credit Risk: Debt Prices vs. Equity Prices

Debt and equity prices of the same issuer reflect publicly available information about the credit quality of a particular issuer of the securities. This is both a fundamental assumption of modern finance and a fact born out by real data. Equity and debt prices react differently to corporate distress, as we can see in many examples from Asia, because debt holders and equity holders are affected differently by restructuring, by bankruptcy, and by the very nature of a company in distress. This difference is rational, not an illustration that one group of investors (say debt buyers) are more or less intelligent than another group of investors (say equity holders). The liquidity of the markets in which debt and equity are traded is different and both vary over time.

In the case studies which follow, Kamakura Risk Manager is used to derive credit spreads for some prominent capital markets participants. Kamakura software clients can generate these credit spreads from their own proprietary data. Kamakura Risk Information Services clients can order them from Kamakura without owning Kamakura Risk Manager software. If you are interested in Kamakura’s credit spread data base, please e-mail us at sales@kamakuraco.com or call Amit Matta at Kamakura in New York (1-212-254-1155). These credit spreads are model independent and simply represent the risk premium above U.S. Treasury zero coupon bond yields necessary to cause the observable bond prices and theoretical bond prices to be equal. These credit spreads are sensitive indicators of market liquidity, expected losses, call provisions, and occasionally, bad data. We now look at a number of individual issuers. All of the analysis was performed by Kamakura Risk Manager software.

 

Case Studies in Credit: Market Movements in Debt and Equity Prices

All models of credit risk are firmly rooted in the concepts of efficient markets. Kamakura believes that market prices of credit derivatives, debt instruments and equities all provide useful and related information on the credit quality of the underlying institution, but they move rationally in different ways because of differences in the rights and privileges of the security holder. These case studies provide enormous insight into the credit risk modeling process:

Largest Bank Failures of the 20th Century
Other Financial Institutions
Corporate case studies

 

KRM-cr: Practical Issues in Credit Risk Management

Kamakura Risk Manager-Credit Risk (KRM-cr) has been designed and constructed to solve a number of practical issues confronting both loan portfolio managers, managers of counter-party credit risk, and traders in credit derivatives. Those challenges are discussed in great detail in "Practical Use Credit Models."

 

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