Is the jump-diffusion model a good solution for credit risk modelling? The case of convertible bonds

Abstract

This paper argues that the reduced–form jump diffusion model may not be appropriate for credit risk modelling. To correctly value hybrid defaultable financial instruments, e.g., convertible bonds, we present a new framework that relies on the probability distribution of a default jump rather than the default jump itself, as the default jump is usually inaccessible. As such, the model can back out the market prices of convertible bonds. A prevailing belief in the market is that convertible arbitrage is mainly due to convertible underpricing. Empirically, however, we do not find evidence supporting the underpricing hypothesis. Instead, we find that convertibles have relatively large positive gammas. As a typical convertible arbitrage strategy employs delta–neutral hedging, a large positive gamma can make the portfolio highly profitable, especially or a large movement in the underlying stock price.