An intelligent approach to financial valuation

Author

Miller, Ross M.

Author_Institution

GE Corp. Res. & Dev., Schenectady, NY, USA

fYear

1991

fDate

9-11 Oct 1991

Firstpage

226

Lastpage

231

Abstract

This paper describes a new approach to modeling financial uncertainty that unifies cash flow, decision tree, and heuristic methods. This approach facilitates the application of both traditional and AI-based methods to the valuation analysis, and design of complex contingent financial claims, such as those found in many innovative financial instruments. Furthermore, this approach is particularly designed to exploit advances in object-oriented and parallel processing technologies, enhancing its appeal as the foundation for financial engineering software

Keywords

artificial intelligence; financial data processing; object-oriented methods; parallel processing; tree data structures; uncertainty handling; artificial intelligence; cash flow; decision tree; financial engineering software; financial uncertainty modeling; heuristic methods; object-oriented methods; parallel processing; Appropriate technology; Cost accounting; Decision trees; Design automation; Design engineering; Instruments; Object oriented modeling; Parallel processing; Security; Timing;

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.1991.236597

Filename

236597