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      The Making of Zombie Wars

      Aleksandar Hemon 9780374203412

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Biologically Inspired Algorithms for Financial Modelling (Natural Computing)

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Biologically Inspired Algorithms for Financial Modelling (Natural Computing) Cover

 

Synopses & Reviews

Publisher Comments:

Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies - neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems. Part II brings the reader through the development of market trading systems. Finally, Part III examines real-world case studies where BIA methodologies are employed to construct trading systems in equity and foreign exchange markets, and for the prediction of corporate bond ratings and corporate failures. The book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain.

Table of Contents

Introduction: Introduction.- Part 1 Methodologies: Introduction to Modelling.- Neural Network Methodologies.- Evolutionary Methodologies.- Grammatical Evolution.- The Particle Swarm Model.- Ant Colony Systems.- Artificial Immune Systems.- Part 2 Model Development: Model Development Process.- Technical Analysis.- Overview of Case Studies.- Index Prediction Using MLPs.- Part 3 Case Studies: Index Prediction Using a Hybrid MLP-GA.- Index Trading Using Grammatical Evolution.- Intra-day Trading Using Grammatical Evolution.- Automatic Generation of Foreign Exchange Trading Rules.- Corporate Failure Prediction Using GE.- Corporate Failure Prediction Using an Ant-Clustering Model.- Bond Rating Using GE.- Bond Rating Using AIS.- Wrap-up.- References.

Product Details

ISBN:
9783642065736
Author:
Brabazon, Anthony
Publisher:
Springer
Author:
O'Neill, Michael
Location:
Berlin, Heidelberg
Subject:
Computer Science
Subject:
ant colony systems
Subject:
Artificial Immune Systems
Subject:
biologically inspired algorithms (BIAs)
Subject:
computer trading
Subject:
evolutionary methodologies
Subject:
Financial Markets
Subject:
financial trading
Subject:
genetic algorithms (GAs)
Subject:
grammatical evolution (GE)
Subject:
multilayer perceptrons
Subject:
neural networks (NNs)
Subject:
particle swarm optimization (PSO)
Subject:
Theory of computation
Subject:
Quantitative Finance
Subject:
Simulation and Modeling
Subject:
Operations Research/Decision Theory
Subject:
Finance/Investment/Banking
Subject:
Computer Applications <P>Applies biologically inspired algorithms (BIAs) to financial modeling</P> <P>Shows how financial modeling benefits from techniques developed for biological studies: neural networks, evolutionary computing, particle swarm and ant c
Subject:
Personal Computers-General
Subject:
Computer applications
Subject:
Operation Research/Decision Theory
Subject:
Language, literature and biography
Subject:
Information Theory
Subject:
Finance
Subject:
Computer simulation
Subject:
Operations Research
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2006
Series:
Natural Computing Series
Publication Date:
20101123
Binding:
TRADE PAPER
Language:
English
Pages:
291
Dimensions:
235 x 155 mm 445 gr

Related Subjects

Business » Accounting and Finance
Business » Business Plans
Business » General
Business » Management
Business » Writing
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Science and Mathematics » Chemistry » Chemical Engineering

Biologically Inspired Algorithms for Financial Modelling (Natural Computing) New Trade Paper
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