Quantitative Finance Asked by CA-Quant on October 27, 2021
I’m going over the paper -Partial Differential Equation Representation of Derivatives with Bilateral Counterparty Risk and Funding Costs- from Burgard and Kjaer. There the following SDE is given for a defaultable bond:
$$ dP(t) = r(t)P(t)dt – P(t)dJ(t), $$
where $r(t)$ is an adapted process, and $J(t)$ is a jump process that changes from zero to one on default of the bond issuer.
I’m trying to solve this SDE by finding a closed form formula for $P(t)$, where I’m following the theory given in Steven Shreve’s book: -Stochastic Calculus for Finance, Continuous-Time Models- (Chapter 11). I’m attempting to use Ito’s formula for jumps, but I’m stuck. Any hints on how to proceed to formally get $P(t)$ from the SDE? Thanks in advance.
As a complement to @ir7’s comprehensive derivation, in the case of Burgard and Kjaer’s the jump process $J_t$ models the default of the issuer. You specialize the process by setting $Z_1=-1$, while the values of ${Z_i:igeq2}$ are irrelevant. You then notice that as soon as the process jumps once, the product of jump sizes becomes null. We therefore have: $$ P_t = P_0e^{int_0^tr_sds}mathbf{1}_{{N_t=0}} = P_0e^{int_0^tr_sds}mathbf{1}_{{t<T_1}} $$ where $T_1$ is the default time of the issuer.
Answered by Daneel Olivaw on October 27, 2021
I'll assume $$ J_t = sum_{i=1}^{N_t} Z_i$$ be a compound Poisson process, with $(T_n)_{ngeq 1}$ being the jump times for Poisson process $(N_t)_{tgeq 0}$ and $(Z_i)_{igeq 1}$ sequence of i.i.d. variables independent of $(N_t)_{tgeq 0}$.
For SDE
$$ dP_t = P_{t^-} dJ_t $$
we notice that at jump times we have
$$ dP_{T_i} = P_{T_i} - P_{T_i^-} = Z_{i} P_{T_i^-} $$
so
$$ P_{T_i} = (1+Z_i) P_{T_i^-} $$
From here we can conclude that:
$$ P_t = P_0 prod _{i=1}^{N_t} (1+Z_i) $$
Adding drift
$$ dP_t = r_t P_t dt + P_{t^-} dJ_t $$
gives
$$ P_t = P_0 mathrm{e}^{int_0^t r_s ds}prod _{i=1}^{N_t} (1+Z_i) $$
as between jump times $P_t$ evolves as $ r_t P_t dt$ and gets multiplied by $1+Z_{i}$ at $T_{i}$, starting with
$$ P_t = P_0 mathrm{e}^{int_0^t r_s ds} $$
for $tin [0,T_1)$.
Answered by ir7 on October 27, 2021
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