Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Finance
Reexamination Certificate
2002-10-31
2011-10-25
Felten, Daniel (Department: 3693)
Data processing: financial, business practice, management, or co
Automated electrical financial or business practice or...
Finance
C705S037000, C705S014250
Reexamination Certificate
active
08046278
ABSTRACT:
A method and a system applying data mining techniques and artificial intelligence algorithms, namely neural networks, operating via an Internet data exchange site, allowing portfolio management companies to access an on-line, standardized questionnaire (Request for Proposal) and present their capabilities. The method then analyses a large number of these questionnaires and classifies managers, categorizing them and ranking their capabilities. In addition, sponsors such as pension funds, endowments, and private clients can submit their offer for the management of their assets. The site provides a Request for Proposal that is modular and continuously adapted to new financial market conditions, legal considerations and Sponsors needs. Once completed by each manager, the questionnaire is maintained in a central database allowing each manager to have an up-to-date and on-line version of questionnaire. The site allows the manager to have access to offers for new mandates in an easier and more efficient way than the old approach that involves approaching each potential Sponsor individually in a time and money consuming manner. The site provides Sponsors the opportunity to request proposals for their mandate from a much higher number of management companies, thus increasing dramatically the efficiency and rationality of their final choice of managers.
REFERENCES:
patent: 3628904 (1971-12-01), Canguilhem
patent: 5675746 (1997-10-01), Marshall
Applying Artificial Neural Networks to Investment Analysis Swales, George S., Jr., Yoon, Young. Financial Analysts Journal. Charlottesville: Sep./Oct. 1992. vol. 48, Iss. 5; p. 78 (3 pages).
www.scholarpedia.org/article/Kohonen—network.
Sohrabi Mohsen
Sorouchyari Esfandiar
Felten Daniel
Moetteli & Associés Sàrl
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