Method of processing investment data and associated system

• US 8,793,182 B2
• Filed: 09/17/2004
• Issued: 07/29/2014
• Est. Priority Date: 09/17/2004
• Status: Active Grant

• Current Assignee: Access Data Corp. (Broadridge Financial Solutions Incorporated)
• Original Assignee: Access Data Corp. (Broadridge Financial Solutions Incorporated)
• Inventors: Petrov, Alexander Serge
• Primary Examiner(s): KANERVO, VIRPI H
• Application Number:
  US10/944,202
• Publication Number:
  US 20060064371A1
• Time in Patent Office: 3,602 Days
• Field of Search: None
• US Class Current: 705/38
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/986 Document structures and storage, e.g. HTML extensions
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227

Abstract

A computerized method for processing investment data includes providing a server supporting a database for receiving, processing and storing investment data; providing a rules engine for processing rules data employing rules relating to credit assignment; introducing into the server investment data from a plurality of external sources, processing the rules data by the rules engine and permitting user access to the processed and stored investment data. Information regarding customer investments, client information and investment transaction information is provided in the server. A corresponding system is disclosed.

Claims

1. A computerized method for calculating credit assignment determinations, comprising:

receiving, by a computer, client financial information, wherein the client financial information represents at least 100,000 investment trading transactions associated with at least one client, and wherein the at least one client is distinct from buyers and sellers involved in the at least 100,000 investment trading transactions;

receiving, by the computer, a plurality of credit assignment rules for calculating the credit assignment determinations based, at least in part, on the client financial information,

wherein each credit assignment determination is a calculation of a financial credit or compensation due allocation among a plurality of individuals or entities or both that have been associated with the at least one client and each of the at least 100,000 investment trading transactions,

wherein the financial credit or compensation due allocation is based, at least in part, on fees paid by at least one of;

(1) the buyers involved in the at least 100,000 investment trading transactions, and

(2) the sellers involved in the at least 100,000 investment trading transactions, and

wherein the plurality of credit assignment rules are based, at least in part, on;

(1) characteristics associated with each entity or each individual from the plurality of individuals or entities or both,

(2) a degree of involvement by a particular entity or a particular individual from the plurality of individuals or entities or both in each respective investment trading transaction, and

(3) criteria associated with at least one of the at least 100,000 investment trading transactions;

calculating on daily basis, by the computer, the credit assignment determinations of the at least 100,000 investment trading transactions among the plurality of individuals or entities or both based, at least in part, on the plurality of credit assignment rules and the client financial information; and

outputting, by the computer, the calculated credit assignment determinations for the plurality of individuals or entities or both.

2. The computerized method of claim 1, wherein the client financial information is received from a plurality of clients by the server system through data interface objects.

3. The computerized method of claim 1, wherein the plurality of credit assignment rules are further selected from the group of:

(i) financial rules, (ii) administrative rules, (iii) personnel rules, (iv) management rules, (v) compensation rules, (vi) revenue sharing rules, and (vii) statistical analysis rules.

4. The computerized method of claim 1, wherein the client financial information further comprises data regarding investment asset positions.

5. The computerized method of claim 1, wherein the at least 100,000 investment trading transactions comprise at least one of:

(i) a first plurality of settled trades regarding at least one mutual fund, and (ii) a second plurality of trading orders regarding the at least one mutual fund.

6. The computerized method of claim 1, wherein at least one characteristic of the each individual is a corporate position of such individual.

7. The computerized method of claim 1, wherein at least one characteristic of the each entity is a corporate structure of such entity.

8. The computerized method of claim 1, wherein the at least one client is an entity from the plurality of entities for which the credit assignment determinations are calculated.

9. The computerized method of claim 1, wherein at least one seller of the sellers is a mutual fund.

10. The computerized method of claim 1, wherein at least one buyer of the buyers is a mutual fund.

11. A computer system for calculating credit assignment determinations, comprising:

at least one computer, comprising;

a memory having at least one region for storing particular computer executable program code; and

at least one processor configured to execute the particular program code stored in the memory, wherein when the processor executes the particular program code, the at least one computer is configured to perform at least the following operations;

receiving client financial information, wherein the client financial information represents at least 100,000 investment trading transactions associated with at least one client, and wherein the at least one client is distinct from buyers and sellers involved in the at least 100,000 investment trading transactions;

receiving a plurality of credit assignment rules for calculating credit assignment determinations based, at least in part, on the client financial information,

wherein each credit assignment determination is a calculation of a financial credit or compensation due allocation among a plurality of individuals or entities or both that have been associated with the at least one client and each of the at least 100,000 investment trading transactions,

wherein the financial credit or compensation due allocation is based, at least in part, on fees paid by at least one of;

 

(1) the buyers involved in the at least 100,000 investment trading transactions, and

 

(2) the sellers involved in the at least 100,000 investment trading transactions, and

wherein the plurality of credit assignment rules are based, at least in part, on;

 

(1) characteristics associated with each entity or each individual from the plurality of individuals or entities or both,

 

(2) a degree of involvement by a particular entity or a particular individual from the plurality of individuals or entities or both in each respective investment trading transaction, and

 

(3) criteria associated with at least one of the at least 100,000 investment trading transactions;

calculating, on daily basis the credit assignment determinations of the at least 100,000 investment trading transactions among the plurality of individuals or entities or both based, at least in part, on the plurality of credit assignment rules and the client financial information; and

outputting, the calculated credit assignment determinations for the plurality of individuals or entities or both.

12. The computer system of claim 11, wherein the client financial information is received from a plurality of clients through data interface objects.

13. The computer system of claim 11, wherein the plurality of credit assignment rules are further selected from the group of:

(i) financial rules, (ii) administrative rules,(iii) personnel rules, (iv) management rules, (v) compensation rules, (vi) revenue sharing rules, and (vii) statistical analysis rules.

14. The computer system of claim 11, wherein the at least 100,000 investment trading transactions comprise at least one of:

(i) a first plurality of settled trades regarding at least one mutual fund, and (ii) a second plurality of trading orders regarding the at least one mutual fund.

15. The computer system of claim 11, wherein the client financial information is received from a plurality of clients.

16. The computer system of claim 11, wherein at least one characteristic of the each individual is a corporate position of such individual.

17. The computer system of claim 11, wherein at least one characteristic of the each entity is a corporate structure of such entity.

18. The computer system of claim 11, wherein the at least one client is an entity from the plurality of entities for which the credit assignment determinations are calculated.

19. The computer system of claim 11, wherein at least one seller of the sellers is a mutual fund.

20. The computer system of claim 11, wherein at least one buyer of the buyers is a mutual fund.