METHODS AND SYSTEMS OF FOUR-VALUED MONTE CARLO SIMULATION FOR FINANCIAL MODELING

摘要

Automatic trading environments with their high degree of automation have become the backbone of modern financial markets. The ability to process orders and manage risk in these systems while maintaining a low latency between participants is crucial for the safety and liquidity of these markets. The disclosed system describes a four valued Monte Carlo simulation for the stochastic modeling of risk and syntactic pattern matching techniques to facilitate the design of these systems. The system is a self- compiling, machine independent system capable of dividing, scaling and communicating multiple-asset instruments efficiently in a parallel environment. The system also allows for the integration of computerized financial heuristics on financial instruments and user interfaces for creating trading strategies to monitor and hedge risk over a trading desk for financial institutions.