Abstract: The present invention provides for systems and the like for limiting faults, otherwise referred to as errors, and in some instances eliminating faults, that exist within a random sampling simulation method for determining numeric results, such as, for example, the Monte Carlo method. The present invention provides for detecting faults during the simulation process prior to determining the estimated numerical value of an equation without using a closed-form solution. Specifically, filtering out determined intermediary numerical values, which are subsequently the basis for the estimated numerical value, that are outside of a predetermined range, for example a predetermined number of standard deviations away from the averaging of historical estimated numerical values.

Abstract: Embodiments disclosed herein relate to systems, methods, and computer program products for a dual precision compute system for determining a price of a financial instrument using a Monte Carlo simulation. The system, method, and computer program product are configured to determine a model for calculating a price for a financial instrument using a Monte Carlo simulation; determine variables associated with the financial instrument; conduct a first portion of the Monte Carlo simulation with the variables using a first level precision; conduct a second portion of the Monte Carlo simulation with the variables using a second level precision, wherein the second level precision is higher than the first level precision; and determine the price of the financial instrument from the model. The first level precision may be a single precision floating point format and the second level precision may be a double precision floating point format.