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. The identified subset of each sampling period are then combined into an objective data set for submission to a rate generator which computes one or more forward interest rates, for one or more tenors, based thereon.
Abstract:
A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.
Abstract:
Systems and methods are provided for dynamically adjusting a bid ask spread while maintaining a fixed trading increment. Various criteria may be analyzed to determine if a bid ask spread meets the desired criteria. When the criteria is not met, the bid ask spread may be adjusted by aggregating orders. Aggregation may include raising a price of the lowest ask prices and/or lowering a price of the highest bid orders.
Abstract:
An illustrative computing device may include a processor and a non-transitory memory device for storing a data structure capable of being compressed, where the data structure includes a plurality of data elements and each of the plurality of data elements includes a date field and a quantity field. The computing device may process instructions to arrange the plurality of data elements in a consecutive series in date order based on a value stored in the date field of each data element, determine whether a gap appears in the consecutive series of data elements based on a value stored in the quantity field of each element, remove the determined gaps in each of the data elements, and repeat the determining and removing steps until a predetermined criterion has been reached.
Abstract:
The disclosed embodiments relate to determining a listing date, an expiration date and the cash settlement price of a futures contract, i.e. a Treasury Futures, for the delivery of the most recently issued, referred to as an on-the-run, US treasury Note of a particular maturity by reference to the U.S. Treasury Auction cycle and the difference between a resultant industry surveyed swap rate and a resultant industry surveyed swap spread of the respective tenors (time remaining until maturity) of the on-the-run treasury futures.
Abstract:
A computer system may process data associated with synthetic series derivative contracts. Those contracts may be settled in cash to an imputed value of a fixed income security. This fixed income security may be coupon bearing. The imputed value of the fixed income security may be based on a calculated value of a series of interest-based derivative contracts. Both that series and the fixed income security may be hypothetical.
Abstract:
Computer readable media, methods, and apparatuses may be configured for processing a yield of a first financial instrument, determining a single floating rate payment based on the yield, determining a single fixed rate payment based on a fixed interest rate, determining a present value of the single floating rate payment, determining a present value of the single fixed rate payment, and generating a quote for a forward rate agreement index financial product as a function of the present value of the single floating rate payment and the present value of the single fixed rate payment.
Abstract:
The disclosed system makes available multiple interest rate futures contracts (“IRFC”) for a given set of interest rate securities, such as US Treasury Notes, which may be used to satisfy the delivery obligation. The terms on which the delivery obligation of each such IRFC are met are governed by an associated conversion factor yield (“CFY”) value which is associated, in turn, with a corresponding set of conversion factors (“CF”), each of which corresponds to one member of the set of securities eligible for delivery, and which may be used at the time of delivery of such eligible interest rate security, to determine the delivery invoice price. Offering different CFY's and corresponding CF's may enable a market participant who seeks to use such futures to acquire or shed financial risk exposure to select from such array of futures contracts the member contract that most closely mirror the participant's intended risk profile.
Abstract:
The disclosed embodiments relate to determining a listing date, an expiration date and the cash settlement price of a futures contract, i.e. a Treasury Futures, for the delivery of the most recently issued, referred to as an on-the-run, US treasury Note of a particular maturity by reference to the U.S. Treasury Auction cycle and the difference between a resultant industry surveyed swap rate and a resultant industry surveyed swap spread of the respective tenors (time remaining until maturity) of the on-the-run treasury futures.
Abstract:
A computer implemented method for assigning values to objects includes receiving a plurality of values for each of a plurality of base objects including a first and second base object; receiving a plurality of values for a first composite object associated with the first and second base objects; generating and storing in the memory a solution set including combinations of values of the first and second base objects; for each combination in the solution set, generating first transaction results by computing transactions between the values of the first and second base objects; comparing each of the first transaction results to a first range of values including the values of the first composite object; and removing, from the solution set and from the memory, the combinations of the values of the first and second base objects corresponding to the first transaction results that are outside of the first range of values.