Pricing bonds with optional sinking feature via Markov Decision Processes
Bonds with optional sinking feature have already been discussed in the XAIA homepage article “Z-spreads for bonds with optional sinking feature: a Bellman exercise”. However, only in a rudimentary stochastic framework. Such instruments equip their issuer with the option (but not the obligation) to redeem parts of the notional prior to maturity, therefore the future cash flows are random. In a (non-rudimentary) one-factor model for the issuer's default intensity we show that the pricing algorithm can be formulated and solved as a so-called Markov Decision Process, which is both accurate and quick. The method is demonstrated using a 1.5-factor credit-equity model which defines the default intensity in a reciprocal relationship to the issuer's stock price process.
Link to paper