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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14259
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| Title: | APPLICATIONS: Financial risk and financial Risk Management Technology
(RMT): Issues and advances |
| Authors: | Bansal, Arun
Kauffman, Robert J.
Mark, Robert M.
Peters, Edward |
| Keywords: | Risk management
Object-oriented
Neural nets
Artificial intelligence
Business value
Clientserver
Distributed database
Parallel processing
Pattern recognition
Data quality |
| Issue Date: | 1993 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-93-23 |
| Abstract: | Methods for sound risk management are of increasing interest among Wall
Street investment banking and brokerage firms in the aftermath of the
October 1987 crash of the stock market. As the knowledge of advanced
technology applications in risk management increases, financial firms
are finding innovative ways to use them practically, in order to
insulate themselves. The recent development in models, the software and
hardware, and the market data to track risk are all considered advances
in Risk Management Technology (RMT). -. These advances have affected all
three stages of risk management: the identification, the measurement,
and the formulation of strategies to control financial risk. This
article discusses the advances made in five areas of RMT: communication
software, object-oriented programming, parallel processing, neural nets
and artificial intelligence. Systems based on any of these areas may be
used to add value to the business of a firm. A business value linkage
analysis shows how the utility of advanced systems can be measured to
justify their costs. |
| URI: | http://hdl.handle.net/2451/14259 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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