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Artificial Intelligence in Finance and Investing - Theory and Application in Portfolio Management (Hardcover, 2 Revised Edition)
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Artificial Intelligence in Finance and Investing - Theory and Application in Portfolio Management (Hardcover, 2 Revised Edition)
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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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