Management of uncertainty for intelligent financial systems

Author

Cortés-Rello, E. ; Golshani, F.

Author_Institution

Bull Worldwide Information Systems, Phoenix, AZ, USA

fYear

1991

fDate

9-11 Oct 1991

Firstpage

238

Lastpage

243

Abstract

A fundamental function of financial intermediaries is to assess and assume risk. Financial intermediaries have to deal with risks such as credit risks, liquidity risks, interest rate changes and exchange rate changes. Some of these risks can be dealt with using techniques such as hedging, but there is always some subjective judgement involved. The relevance of the Dempster-Shafer theory of evidence to financial problems that involve subjective judgement is studied. Three specific examples are analyzed: forecasting, cross-hedging and financial group decision making

Keywords

case-based reasoning; decision support systems; financial data processing; knowledge based systems; risk management; uncertainty handling; Dempster-Shafer theory of evidence; cross-hedging; evidential reasoning; financial group decision making; financial risk assessment; forecasting; intelligent financial systems; knowledge based systems; uncertainty management; Artificial intelligence; Decision making; Economic indicators; Exchange rates; Financial management; Intelligent systems; Investments; Lifting equipment; Management information systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence Applications on Wall Street, 1991. Proceedings., First International Conference on

Conference_Location

New York, NY

Print_ISBN

0-8186-2240-7

Type

conf

DOI

10.1109/AIAWS.1991.236595

Filename

236595