METHODS AND APPARATUS FOR ITERATIVE CONDITIONAL PROBABILITY CALCULATION METHODS FOR FINANCIAL INSTRUMENTS WITH PATH-DEPENDENT PAYMENT STRUCTURES

摘要

Methods and apparatus provide for calculating expected present values and conditional probabilities of future payments of path-dependent rules-based securities or derivative contracts using iterative conditional probability calculation methods, including: (a) breaking a payment horizon of the securities or derivative contracts into N time increments over time t=0 to t=N; (b) initializing an array of state variables to assumed values at t=0; (c) applying transition probability models to the assumed values of the state variables at time t=0 and calculating a joint probability distribution for the state variables at time t=1; (d) applying payment calculation models to both the t=0 and t=1 values of the state variables and calculating probabilities and expected present values for the securities or derivative contracts payments occurring between t=0 and t=1 based on values of the state variables at times t=0 and t=1; (e) repeating steps (c)-(d) iteratively at each time t and calculating joint probability distributions for the state variables, probabilities, and expected present values of the securities or derivative contracts payments occurring between times t and t+1 based on values of the state variables at times t and t+1; and (f) summing the probabilities and the expected present value calculations across time and values of the state variables to obtain the expected present values and conditional probabilities of the future payments of the path-dependent rules-based securities or derivative contracts. By using the foregoing iterative conditional probability calculation methods it is possible to evolve a composite state variable CSV in a path-independent manner and use CSV to calculate present value cash-flow of a path-dependent rules-based security.