Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5077571 | Insurance: Mathematics and Economics | 2007 | 12 Pages |
Abstract
This paper reformulates the classical problem of cash flow valuation under stochastic discount factors into a system of linear equations with random perturbations. Using convergence results, a sequence of uniform approximations is developed. The new formulation leads to a general framework for deriving approximate statistics of cash flows for a broad class of models of stochastic interest rate process. We show applications of the proposed method by pricing default-free and defaultable cash flows. The methodology developed in this paper is applicable to a variety of uncertain cash flow analysis problems.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
P. Date, R. Mamon, I.C. Wang,