After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. <STRONG>Genetic Algorithms and Genetic Programming in Computational Finance</STRONG> is a pioneering volume devoted entirely to a systematic and comprehensive review of this subject. Chapters cover various areas of computational finance, including financial forecasting, trading strategies development, cash flow management, option pricing, portfolio management, volatility modeling, arbitraging, and agent-based simulations of artificial stock markets. Two tutorial chapters are also included to help readers quickly grasp the essence of these tools. Finally, a menu-driven software program, Simple GP, accompanies the volume, which will enable readers without a strong programming background to gain hands-on experience in dealing with much of the technical material introduced in this work.
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虽然是论文集，而不是本完整连贯的书。还是代表了进化计算在计算金融领域的最新成果。虽然我现在越来越觉得投资哲学的重要性大于具体方法。
评分虽然是论文集，而不是本完整连贯的书。还是代表了进化计算在计算金融领域的最新成果。虽然我现在越来越觉得投资哲学的重要性大于具体方法。
评分虽然是论文集，而不是本完整连贯的书。还是代表了进化计算在计算金融领域的最新成果。虽然我现在越来越觉得投资哲学的重要性大于具体方法。
评分虽然是论文集，而不是本完整连贯的书。还是代表了进化计算在计算金融领域的最新成果。虽然我现在越来越觉得投资哲学的重要性大于具体方法。
评分虽然是论文集，而不是本完整连贯的书。还是代表了进化计算在计算金融领域的最新成果。虽然我现在越来越觉得投资哲学的重要性大于具体方法。
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