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Titlebook: Computational Intelligence in Economics and Finance; Volume II Shu-Heng Chen,Paul P. Wang,Tzu-Wen Kuo Book 2007 Springer-Verlag Berlin Heid

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Strategie in der Politikwissenschaft future period when a market index has followed a downward or a flat trend. In addition, we reveal problems arising from this optimization in that the coefficient of determination depends on the characteristics of the scatter diagram between the index fund price and the market index.
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Estimating Female Labor Force Participation through Statistical and Machine Learning Methods: A Com(HC) are from the machine learning paradigm. The comparison, performed using data from the Venezuelan Household Survey for the second semester 1999, shows the advantages and disadvantages of the two methodological paradigms that could provide a basic motivation for combining the best of both approaches.
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Trading Strategies Based on K-means Clustering and Regression Models,of the results may lead to further improvement in the methodology. Although the proposed approach is designed for stock trading, it can be applied to the trend analysis of any time series, such as the time series of economic indicators.
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Nonlinear Goal-Directed CPPI Strategy,en applying the minimum function can fully maintain the features of the CPPI strategy and the GD strategy without considering the explicit.. This minimum function in fact can obtain the concept of the explicit ., but it operates the . implicitly. Furthermore, we argue that the piecewise nonlinear GD
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