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Artificial Intelligence in Financial Markets

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Cover of 'Artificial Intelligence in Financial Markets'

Table of Contents

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    Book Overview
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    Chapter 1 A Review of Artificially Intelligent Applications in the Financial Domain
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    Chapter 2 Trading the FTSE100 Index: ‘Adaptive’ Modelling and Optimization Techniques
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    Chapter 3 Modelling, Forecasting and Trading the Crack: A Sliding Window Approach to Training Neural Networks
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    Chapter 4 GEPTrader: A New Standalone Tool for Constructing Trading Strategies with Gene Expression Programming
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    Chapter 5 Business Intelligence for Decision Making in Economics
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    Chapter 6 An Automated Literature Analysis on Data Mining Applications to Credit Risk Assessment
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    Chapter 7 Intelligent Credit Risk Decision Support: Architecture and Implementations
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    Chapter 8 Artificial Intelligence for Islamic Sukuk Rating Predictions
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    Chapter 9 Portfolio Selection as a Multi-period Choice Problem Under Uncertainty: An Interaction-Based Approach
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    Chapter 10 Handling Model Risk in Portfolio Selection Using Multi-Objective Genetic Algorithm
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    Chapter 11 Linear Regression Versus Fuzzy Linear Regression: Does it Make a Difference in the Evaluation of the Performance of Mutual Fund Managers?
Attention for Chapter 3: Modelling, Forecasting and Trading the Crack: A Sliding Window Approach to Training Neural Networks
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