Soft Computing in Economics and Finance, Ludmila Dymowa

Автор: Anna M. Gil-Lafuente; Jaime Gil-Lafuente; Jos? M.
Название: Soft Computing in Management and Business Economics
ISBN: 3642448933 ISBN-13(EAN): 9783642448935
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book is a collection of selected papers presented at the Annual Meeting of the European Academy of Management and Business Economics (AEDEM), held at the Faculty of Economics and Business of the University of Barcelona, 05 - 07 June, 2012.

Автор: Harrison
Название: Mathematics for Economics and Finance
ISBN: 0415573033 ISBN-13(EAN): 9780415573030
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание: The aim of this book is to bring students of economics and finance who have only an introductory background in mathematics up to a quite advanced level in the subject, thus preparing them for the core mathematical demands of econometrics, economic theory, quantitative finance and mathematical economics, which they are likely to encounter in their final-year courses and beyond. The level of the book will also be useful for those embarking on the first year of their graduate studies in Business, Economics or Finance.

Автор: Anthony Brabazon; Michael O`Neill
Название: Natural Computing in Computational Finance
ISBN: 3642096204 ISBN-13(EAN): 9783642096204
Издательство: Springer
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Цена: 204040.00 T
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Описание: Optimisation.- Natural Computing in Computational Finance: An Introduction.- Constrained Index Tracking under Loss Aversion Using Differential Evolution.- An Evolutionary Approach to Asset Allocation in Defined Contribution Pension Schemes.- Evolutionary Strategies for Building Risk-Optimal Portfolios.- Evolutionary Stochastic Portfolio Optimization.- Non-linear Principal Component Analysis of the Implied Volatility Smile using a Quantum-inspired Evolutionary Algorithm.- Estimation of an EGARCH Volatility Option Pricing Model using a Bacteria Foraging Optimisation Algorithm.- Model Induction.- Fuzzy-Evolutionary Modeling for Single-Position Day Trading.- Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic Programming.- Using Kalman-filtered Radial Basis Function Networks for Index Arbitrage in the Financial Markets.- On Predictability and Profitability: Would GP Induced Trading Rules be Sensitive to the Observed Entropy of Time Series?.- Hybrid Neural Systems in Exchange Rate Prediction.- Agent-based Modelling.- Evolutionary Learning of the Optimal Pricing Strategy in an Artificial Payment Card Market.- Can Trend Followers Survive in the Long-Run% Insights from Agent-Based Modeling.- Co-Evolutionary Multi-Agent System for Portfolio Optimization.

Автор: Anthony Brabazon; Michael O`Neill; Dietmar G. Mari
Название: Natural Computing in Computational Finance
ISBN: 3642263690 ISBN-13(EAN): 9783642263699
Издательство: Springer
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Цена: 130590.00 T
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Описание: The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

Автор: Anthony Brabazon; Michael O`Neill; Dietmar G. Mari
Название: Natural Computing in Computational Finance
ISBN: 3642139493 ISBN-13(EAN): 9783642139499
Издательство: Springer
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Цена: 156720.00 T
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Описание: The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

Автор: Anthony Brabazon; Michael O`Neill
Название: Natural Computing in Computational Finance
ISBN: 3642101127 ISBN-13(EAN): 9783642101120
Издательство: Springer
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Цена: 158380.00 T
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Описание: The first part of this book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number of agent-based simulations of financial systems.