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Managing Credit Risk in Corporate Bond Portfolios : A Practitioner's ...

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148 MANAGING CREDIT RISK IN CORPORATE BOND PORTFOLIOSthe jo<strong>in</strong>t migration probability h B2,Aaa given by equation (8.11). One can followthis procedure to compute the jo<strong>in</strong>t migration probabilities h ik to anyof 324 discrete states for a two-obligor portfolio.The next step <strong>in</strong> the process is to compute the credit loss g ik associatedwith each state of the discrete jo<strong>in</strong>t probability distribution. Here, g ikdenotes the credit loss due to the rat<strong>in</strong>g migration of obligor 1 from state uto state i and of obligor 2 from state to state k. Because this credit loss isnot dependent on the asset return distribution, one can compute this us<strong>in</strong>gequation (6.42) <strong>in</strong> Chapter 6.Once the jo<strong>in</strong>t probabilities of be<strong>in</strong>g <strong>in</strong> each of the states and the correspond<strong>in</strong>gcredit losses have been determ<strong>in</strong>ed, it is fairly simple to compute theexpected value E(/ 1/ 2) of the jo<strong>in</strong>t distribution of credit loss us<strong>in</strong>g equation(6.43) <strong>in</strong> Chapter 6. Insert<strong>in</strong>g this value <strong>in</strong>to equation (6.5) <strong>in</strong> Chapter 6allows one to compute the loss correlation between the two obligors underthe migration mode when the jo<strong>in</strong>t distribution of asset returns is bivariatet distributed. Once the loss correlation between the obligors is determ<strong>in</strong>ed,comput<strong>in</strong>g the unexpected loss of the portfolio is straightforward.Aga<strong>in</strong> it is <strong>in</strong>structive to compare the expected and the unexpected lossof the two-bond portfolio when asset returns are assumed to be t distributed.The various credit risk measures computed us<strong>in</strong>g the analytical approachpresented here for the two-bond portfolio example considered <strong>in</strong> Exhibit 6.1<strong>in</strong> Chapter 6 with 30 percent asset return correlation are as follows:The loss correlation / ik under the migration mode is 0.14905.The expected portfolio loss EL P under the migration mode is $4,740.The unexpected portfolio loss UL P under the migration mode is$32,770.As one might expect, the unexpected loss of the portfolio <strong>in</strong>creases due toan <strong>in</strong>crease <strong>in</strong> the loss correlation between the obligors.To provide further comparisons for the credit risk measures obta<strong>in</strong>edwhen the jo<strong>in</strong>t normality of asset returns is relaxed, Exhibit 8.3 shows therisk measures computed for the 23-bond portfolio considered <strong>in</strong> Exhibit 6.6<strong>in</strong> Chapter 6 assum<strong>in</strong>g a multivariate t distribution for asset returns. In comput<strong>in</strong>gthe expected and unexpected losses for the portfolio, the <strong>in</strong>dicativeEXHIBIT 8.3 Portfolio <strong>Credit</strong> <strong>Risk</strong> Us<strong>in</strong>g Indicative Asset ReturnCorrelation MatrixDescription EL P (mn $) UL P (mn $) %EL P (bp) %UL P (bp)Under default mode 0.660 3.783 13.8 79.4Under migration mode 1.622 5.034 34.0 105.6

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