In this paper we consider the corporate default problem. One of the well-known approaches is to model the dynamics of the assets of the firm, and compute the probability that the assets fall below a threshold (which is related to the firm's liabilities). When modeling the asset value dynamics as a jump-diffusion process (the most realistic model), a serious computational problem arises. In this paper we propose a fast method for computing the default probability. The new method achieves significant acceleration over the available approach.
CITATION STYLE
Atiya, A. (2000). Fast algorithms for computing corporate default probabilities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1983, pp. 239–243). Springer Verlag. https://doi.org/10.1007/3-540-44491-2_33
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