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Titlebook: Natural Computing in Computational Finance; Volume 4 Anthony Brabazon,Michael O’Neill,Dietmar Maringer Book 2012 Springer-Verlag GmbH Berli

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An Order-Driven Agent-Based Artificial Stock Market to Analyze Liquidity Costs of Market Orders in e zero-intelligence of the artificial agents in our model. We continued improving the model so that it could be used to study liquidity costs and to devise liquidation strategies for stocks and securities traded in the Taiwan Stock Market.
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Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evos, and Self-Organizing Maps, which is used for clustering the above rules into types of trading strategies. The results on four empirical financial markets show that their behavior constantly changes; thus, agents’ trading strategies need to continuously adapt to the changes taking place in the market, in order to remain effective.
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An Evolutionary Algorithmic Investigation of US Corporate Payout Policy Determination,volutionary algorithm approach also provides important new insights concerning the influence of firm size, the concentration of firm ownership and cash flow uncertainty with respect to corporate payout policy determination in the United States.
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more mathematics than one learns in high school...PRAISE FOR BOOK:.."With wonderfully chosen digressions and some sophisticated physics plus the minimum amount of math to support it, Jeremy Bernstein has produced a charming account of Einstein’s epoch-making papers of 1905. Here is surely the thinki
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Nikos S. Thomaidismore mathematics than one learns in high school...PRAISE FOR BOOK:.."With wonderfully chosen digressions and some sophisticated physics plus the minimum amount of math to support it, Jeremy Bernstein has produced a charming account of Einstein’s epoch-making papers of 1905. Here is surely the thinki
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