The Mathematics of Financial Modelingand Investment Management

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22-Credit Risk Model Derivs Page 693 Wednesday, February 4, 2004 1:12 PM


Credit Risk Modeling and Credit Default Swaps 693

If the company survives the first period, it has to pay off the first
debt, which clearly causes the asset price to be discontinuous. The dis-
continuity of the asset value makes the valuation of the second debt
more difficult. Geske suggests that the if the firm issues equity to pay for
the first debt, then the asset value should remain continuous and a
closed-form solution can be achieved. Here, we simply show the result:

( , 1 ) = e


  • r(T 1 – t) –
    DtT K 1 Nd( 11 )+ At()[ 1 – Nd( 11 +)]


( , +
2 )= At ( 11 )– Md

+ ,d
DtT ()[Nd 22 )]
+ (
12


  • r(T 2 – t) – –



  • e K 2 Md( 12 ,d 22 )






  • e



  • r(T 1 – t)
    K 1 [Nd( 12 )– Nd( 11 )]


where

± ln A()^0 ln – Kij+ (r± σ^2 ⁄^2 )
dij = ------------------------------------------------------------------------
σ Tij

K 12 is the internal solution to E(T 1 ) = K 11 which is given as the face
value of the first debt (maturing at t= 1 year) and K 22 is the face value
of the second debt (maturing at t= 2). This formulation can be extended
to include any number of debts, T 11 = T 12 = T 1 = 1 and T 22 = 2. The
correlation in the bivariate normal probability functions is the square
root of the ratio of two maturity times. In this case, it is ¹⁄₂.
Note that the total debt values add to

DtT( , 1 )+ DtT( , 2 )

= At()[ 1 – Md( 12 + ,d+ 22 )]+ e ( –


  • r(T 1 – t)
    K 1 Nd 12 )

  • r(T 2 – t) – –



  • e K 2 Md( 12 ,d 22 )


which implies that the one-year survival probability is Nd( – ) and


  • –^12
    two-year is Md( 12 ,d 22 ) which is a bivariate normal probability func-
    tion with correlation T 1 ⁄T 2. The equity value, which is the residual
    value

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