Machine learning management apparatus and method
US-2017061329-A1 · Mar 2, 2017 · US
US10810671B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10810671-B2 |
| Application number | US-201514750422-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 25, 2015 |
| Priority date | Jun 27, 2014 |
| Publication date | Oct 20, 2020 |
| Grant date | Oct 20, 2020 |
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A computer system may access data corresponding to a portfolio that comprises interest rate swaps and may calculate parameters for a compressed swap. The computer system may determine, based at least in part on the parameters for the compressed swap, a performance bond requirement attributable to the interest rate swaps. The computer system may compare the performance bond requirement to account data associated with a holder of the portfolio and may perform one or more additional actions based on the comparing.
Opening claim text (preview).
The invention claimed is: 1. A method comprising: accessing, in a non-transitory memory device by a computer system, data corresponding to a portfolio that comprises m interest rate swaps, wherein m is an integer greater than one, wherein the accessed data comprises, for each of the m interest rate swaps, a notional value and a fixed rate value, and wherein each of the m interest rate swaps corresponds to a common tenor; comparing, by the computer system, a size of the portfolio to a threshold, wherein the size of the portfolio is m, the number of interest rate swaps held in the portfolio and the threshold is associated with a defined data storage capacity of the non-transitory memory device; performing, automatically by the computer system when the size of the portfolio exceeds the threshold: calculating, by the computer system, parameters for a compressed swap having a risk value equivalent to a sum of risk values of the interest rate swaps, wherein the parameters include a compressed swap notional value N B , a compressed swap fixed rate value x B , and a compressed swap floating rate spread value c; determining, by the computer system and based at least in part on the compressed swap parameters, a performance bond requirement attributable to the interest rate swaps; comparing, by the computer system, the performance bond requirement to account data associated with a holder of the portfolio; performing, by the computer system, one or more additional actions based on the comparing; and storing, by the computer system, second data comprising a compressed portfolio comprising the compressed swap by replacing the data comprising the portfolio including the m interest rate swaps in the non-transitory memory device with the second data to minimize a data storage requirement in the non-transitory memory device associated with the portfolio. 2. The method of claim 1 , wherein performing additional actions comprises at least one of (i) storing data regarding satisfaction of the performance bond requirement, and (ii) transmitting a communication regarding the performance bond requirement. 3. The method of claim 1 , wherein calculating the parameters for the compressed swap comprises calculating the compressed swap fixed rate value x B , the compressed swap notional value N B , and the compressed swap floating rate spread value c according to x B = 1 m Σ j = 1 m x j , N B = Σ j = 1 m N j x j x B , and c = 1 Σ g = 1 G df g dt g [ Σ j = 1 m x j Σ j = 1 m N j Σ g = 1 G f g df g dt g m Σ j = 1 m N j x j - Σ g = 1 G f g df g
Asset management; Financial planning or analysis · CPC title
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