Abstract: A method for use in counterparty credit risk management systems and products to determine or calculate potential future exposure (PFE) for exotic financial investment products including some derivative products. In the method, Monte Carlo simulation is used to generate PFE scenarios. Because PFE calculations can be quite computationally demanding when the pricing model also uses Monte Carlo simulation, the method uses least squares regression with a state space sampling approach as part of the PFE determination process. Using regressions for PFE calculations may generate new or additional challenges, and the method, and systems implementing the method, include tools or processes to address these regression-related issues. Testing of the method was performed using examples of exotic interest rate products, and the numerical results are presented in the disclosure.

Abstract: A method for use in over-the-counter (OTC) financial markets to selectively generate and transmit crossing market alerts to market participants (e.g., market makers or liquidity providers). The method includes providing an alert generation system with a processor executing code to provide a crossing markets module. The method also includes, with the crossing markets module, receiving from a data source a set of market data defining pricing for a financial instrument, such as a bond, credit default swap (CDS) or other swap, or loan. Then, the method includes receiving a quote for the financial instrument from a market maker. The method involves comparing pricing data in the quote with the pricing for the financial instrument defined by the market data to identify a crossing markets event. The method includes generating a crossing markets alert when a set of alert generation rules, including surpassing an economic threshold, are met.