Abstract: The disclosed embodiments relate to computing a forward interest rate for a select future time period subsequent to a current date, such as 1 month, 3 month, 6 month or 12 month term, utilizing data observed or otherwise derived from the trading of futures contracts having short term interest rate based underliers, e.g. based on overnight interest rates, and, in one embodiment, are integrated with an electronic transaction processing system, e.g. an electronic trading system, to access data indicative of the trading thereof, and therefore avoid reliance upon subjective/opinion inputs. Generally, the disclosed embodiments generate a model of expected interest rates for every day of the time period for which a forward interest rate is desired based on a set of interest rate futures contract whose expiration periods cover the period.

Abstract: The disclosed embodiments relate to computing a forward interest rate for a select future time period subsequent to a current date, such as 1 month, 3 month, 6 month or 12 month term, utilizing data observed or otherwise derived from the trading of futures contracts having short term interest rate based underliers, e.g. based on overnight interest rates, and, in one embodiment, are integrated with an electronic transaction processing system, e.g. an electronic trading system, to access data indicative of the trading thereof, and therefore avoid reliance upon subjective/opinion inputs. Generally, the disclosed embodiments generate a model of expected interest rates for every day of the time period for which a forward interest rate is desired based on a set of interest rate futures contract whose expiration periods cover the period.

Abstract: The disclosed embodiments relate to automated generation of objective data for use in computing a forward interest rate for a future time period subsequent to a current date, as well as post validation thereof. Periodic sample sets of the prices of actual completed trades between anonymized parties of each of a set of interest rate futures contracts having consecutive expiration months which collectively include the selected future time period are obtained from an anonymized electronic trading system. The prices of current best offers to buy/sell each of those contracts are also randomly obtained. Each sample set, along with the randomly selected prices, is then processed to identify a subset thereof which are consistent with a relationship between the underlying interest rate of the set of contracts and time period covered thereby.