Enablement of exposure management to handle priced exposure

• US 8,583,539 B2
• Filed: 08/31/2011
• Issued: 11/12/2013
• Est. Priority Date: 08/31/2011
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Mueller, Klaus, Fritzsche, Thomas, Heinz, Stephan
• Primary Examiner(s): Singh, Gurkanwaljit
• Application Number:
  US13/222,951
• Publication Number:
  US 20130054302A1
• Time in Patent Office: 804 Days
• Field of Search: None
• US Class Current: 705/37
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

A message may be used to update computing system of a commodity transaction. The message may include a commodity identifier, a date term, a quantity term, and a price term. The price term may include a formula arrangement or reference to a formula arrangement for calculating a fractional exposure of the entity to the commodity on each date in which an event affecting commodity transaction occurs. Each of these fractional exposures may be calculated for each commodity transaction and stored as separate entries in a data structure. The entries may then be updated, queried, and/or reorganized to generate an exposure position.

Claims

1. A method for calculating an exposure of an entity comprising:

identifying, using a hardware processing device, data relating to a transaction of a good, including a commodity associated with the good, a payment date term, a delivery date term, a price term, and a quantity term in an electronic message received at a computing system of the entity;

identifying a plurality of dates from a formula specifying a fractional amount of the commodity to be at least one of paid for, delivered, or priced on each of the identified dates;

calculating, using the hardware processing device, a fractional amount of a respective payment, delivery, or price exposure to the commodity on each of the plurality of dates from the formula and at least one of the respective identified payment date, delivery date, or price date terms;

storing each of the calculated fractional commodity exposures as separate entries in a data structure; and

including at least two of the stored separate entities in different exposure positions based on the dates associated with each of the respective calculated fractional commodity exposures.

2. The method of claim 1, further comprising responsive to a subsequent processing of updated data related to the transaction of the good, calculating an updated fractional exposure to the commodity and then updating at least one of the stored entries in the data structure with the updated fractional exposure.

3. The method of claim 1, wherein the commodity associated with the good is identified through a mapping associating different goods with at least one commodity.

4. The method of claim 1, wherein the good is the commodity itself.

5. The method of claim 1, wherein the fractional amount is either a price representing a percentage of a total price included in the price term or a percentage of a price in the price term.

6. The method of claim 1, wherein the fractional amount is a quantity representing a percentage of a total quantity included in the quantity term.

7. The method of claim 1, wherein the message is a service oriented architecture message and the computing system is an exposure management system that calculates the fractional exposure of the entity to various commodities.

8. The method of claim 6, further comprising repeating the method to identify commodities, date terms, price terms, and quantity terms in a plurality of electronic messages, calculate exposures to the commodities, and then store each of the calculated fractional commodity exposures as separate entries in the data structure.

9. The method of claim 1, wherein the price term includes a formula field, the formula field including data identifying the formula stored in a separate data structure.

10. The method of claim 1, wherein the formula includes data fields storing a plurality of dates, commodity identifiers, and commodity quantities and calculating the exposure includes, for each data record in the formula, identifying a commodity price on a stored date using a stored commodity identifier and then multiplying the identified commodity price and a stored commodity quantity.

11. The method of claim 9, wherein the commodity price is obtained from an external data source and a commodity identifier, which identifies a commodity in a format compatible with the external data source, is transmitted to the external data source to obtain the commodity price.

12. The method of claim 10, wherein the formula includes an external data source field and data in the external data source field is used to identify the external data source to which the commodity identifier is transmitted.

13. The method of claim 1, wherein the calculating the fractional exposure includes calculating currency exposures when a different currency is included in the price term, and the calculated currency exposures are stored as a separate entries in the data structure.

14. The method of claim 9, wherein storing of each calculated commodity exposure includes storing the multiplied identified commodity price and stored commodity quantity, and a plurality of the commodity quantities stored in the formula are less than a corresponding total quantity included in the quantity term.

15. The method of claim 13, wherein storing of each calculated commodity exposure includes storing a respective commodity quantity stored in the formula and the respective commodity quantity is a fractional amount of its respective quantity term.

16. The method of claim 9, wherein the formula provides for a computation involving data in the price and quantity terms.

17. The method of claim 15, wherein the formula includes a data field storing a percentage of a quantity included in the quantity term.

18. The method of claim 16, wherein the computation includes applying the percentage stored in the formula to the quantity included in the quantity term to calculate a data record commodity quantity.

19. A system comprising:

a processing device including at least one integrated circuit;

a memory device storing a data structure and a formula specifying a fractional amount of the commodity to be at least one of paid for, delivered, or priced on each of predetermined dates; and

a calculating arrangement to perform a mathematical calculation;

wherein;

the processing device identifies a commodity, a payment date term, a delivery date term, a price term, and a quantity term relating to a transaction of a good in an electronic message;

the calculating arrangement calculates a fractional amount of a respective payment, delivery, or price exposure to the commodity on each of the plurality of dates in the formula using the formula and at least one of the respective identified payment date, delivery date, or price date terms; and

the processing device stores each of the calculated fractional commodity exposures as separate entries in the data structure with each of the separate entries and includes at least two of the stored separate entities in different exposure positions based on the dates associated with each of the respective calculated fractional commodity exposures.

20. A device including a non-transitory computer readable storage medium storing instructions that, when executed by a processing device, cause the processing device to:

identify data relating to a transaction of a good, including a commodity associated with the good, a payment date term, a delivery date term, a price term, and a quantity term in an electronic message received at a computing system of the entity;

identify a plurality of dates from a formula specifying a fractional amount of the commodity to be at least one of paid for, delivered, or priced on each of the identified dates;

calculate a fractional amount of a respective payment, delivery, or price exposure to the commodity on each of the plurality of dates from the formula and at least one of the respective identified payment date, delivery date, or price date terms;

store each of the calculated fractional commodity exposures as separate entries in a data structure; and

include at least two of the stored separate entities in different exposure positions based on the dates associated with each of the respective calculated fractional commodity exposures.