رکورد قبلیرکورد بعدی

" Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies "


Document Type : BL
Record Number : 747613
Doc. No : b567564
Main Entry : by Antonio Gorgulho, Rui F.M.F. Neves, Nuno C.G. Horta.
Title & Author : Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies\ by Antonio Gorgulho, Rui F.M.F. Neves, Nuno C.G. Horta.
Publication Statement : Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013
Series Statement : SpringerBriefs in Applied Sciences and Technology
Page. NO : (XI, 77 p. 30 illustrations, 15 illustrations in color.)
ISBN : 3642329896
: : 9783642329890
Contents : Preface.- Introduction.- Computational Finance .- Work's Purpose.- General Goals.- Concrete Goals.- Book's Structure.- Related Work.- Portfolio Theory.- Diversification.- Management.- Market Analysis.- Fundamental Analysis.- Technical Analysis.- Fundamental vs. Technical.- Evolutionary Computation.- Genetic Algorithms.- Individual Representation.- Initial Generation.- Selection.- Offspring Generation.- Genetic Programming.- Existing Solutions.- Portfolio Optimization Theory.- Markowitz's Pioneer Work.- Alternative Models.- Solving Markowitz's Model.- Quadratic Programming.- Modeling Real World.- Metaheuristics Approaches to Portfolio Optimization.- Single-objective Evolutionary Algorithms.- Multi-objective Evolutionary Algorithms.- Extensions to Genetic Algorithms.- Technical and Fundamental Analysis in Portfolio Management.- Solution's Architecture.- Overall Architecture.- Data Flow.- Financial Data Processing Module.- Implementation and Functionality.- Technical Rules Module .- Extensibility and Technical Rules Module Implementation.- Exponential Moving Average (EMA).- Hull Moving Average (HMA).- Double Crossover.- Rate of Change (ROC).- Relative Strength Index (RSI).- Moving Average Convergence Divergence (MACD) .- On Balance Volume (OBV).- True Strength Index (TSI).- Optimization Module.- Chromosome Representation.- Selection.- Mutation.- Crossover.- Initial Generation.- Constraints Handling.- Evaluation Function.- Optimization Module Implementation.- Investment Simulator Module.- Implementation and Functionality.- System Validation.- Performance Measures.- Return on Investment (ROI).- Ratio.- Sortino Ratio.- Classification Parameters.- Strategies Employed.- Case Studies.- Conclusions and Future Work.- Appendixes.
Subject : Artificial intelligence.
Subject : Engineering.
Subject : Finance.
LC Classification : ‭HG4529.5‬‭B936 2013‬
Added Entry : Antonio Gorgulho
: Nuno C G Horta
: Rui F M F Neves
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