Artificial Intelligence In Finance & Investing / Edition 2

Artificial Intelligence In Finance & Investing / Edition 2

by Robert R. Trippi
     
 

In Artificial Intelligence in Finance and Investing, authors Robert Trippi and Jae Lee explain this fascinating new technology in terms that portfolio managers, institutional investors, investment analysis, and information systems professionals can understand. Using real-life examples and a practical approach, this rare and readable volume discusses the entire field… See more details below

Overview

In Artificial Intelligence in Finance and Investing, authors Robert Trippi and Jae Lee explain this fascinating new technology in terms that portfolio managers, institutional investors, investment analysis, and information systems professionals can understand. Using real-life examples and a practical approach, this rare and readable volume discusses the entire field of artificial intelligence of relevance to investing, so that readers can realize the benefits and evaluate the features of existing or proposed systems, and ultimately construct their own systems. Topics include using Expert Systems for Asset Allocation, Timing Decisions, Pattern Recognition, and Risk Assessment; overview of Popular Knowledge-Based Systems; construction of Synergistic Rule Bases for Securities Selection; incorporating the Markowitz Portfolio Optimization Model into Knowledge-Based Systems; Bayesian Theory and Fuzzy Logic System Components; Machine Learning in Portfolio Selection and Investment Timing, including Pattern-Based Learning and Fenetic Algorithms; and Neural Network-Based Systems. To illustrate the concepts presented in the book, the authors conclude with a valuable practice session and analysis of a typical knowledge-based system for investment management, K-FOLIO. For those who want to stay on the cutting edge of the "application" revolution, Artificial Intelligence in Finance and Investing offers a pragmatic introduction to the use of knowledge-based systems in securities selection and portfolio management.

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Product Details

ISBN-13:
9781557388681
Publisher:
Irwin Professional Publishing
Publication date:
11/19/1995
Edition description:
Rev. ed
Pages:
272
Product dimensions:
0.75(w) x 6.00(h) x 9.00(d)

Table of Contents

1Introduction1
2Nature of the Security Investment Domain7
3Modern Approaches to Portfolio Selection23
4Artificial Intelligence in Investment Management: An Overview45
5Portfolio-Selection System Issues67
6Knowledge Representation and Inference81
7Handling Investment Uncertainties101
8Knowledge Acquisition, Integration, and Maintenance119
9Machine Learning131
10Neural Networks159
11Integrating Knowledge with Portfolio Optimization183
12Integrating Knowledge with Databases197
13An Illustrative Session with K-FOLIO209
14Concluding Remarks229
Name Index233
Subject Index237

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