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Titlebook: Artificial Intelligence in Financial Markets; Cutting Edge Applica Christian L. Dunis,Peter W. Middleton,Konstantinos Book 2016 The Editor(

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41#
發(fā)表于 2025-3-28 17:23:16 | 只看該作者
Social Assistance for Families or Workers?,ssues including consideration of which financial data should be used to implement such systems, the availability, integrity and quality. Several standards, such as XBRL (Extensible Business Language) or SDMX (Statistical Data and Metadata eXchange), provide means to solve these issues by ensuring re
42#
發(fā)表于 2025-3-28 22:31:37 | 只看該作者
https://doi.org/10.1057/978-1-137-51144-7der to address the limited study on Sukuk rating prediction, this research provides an empirical foundation for the investors to estimate the ratings assigned. The study examines variables from past research on rating prediction models taking into account various Sukuk structures, credit enhancement
43#
發(fā)表于 2025-3-28 23:27:22 | 只看該作者
44#
發(fā)表于 2025-3-29 03:08:55 | 只看該作者
Early Modern Literature in History of Multi-Objective Genetic Algorithm (MOGA) called MOGA3O (3 Objectives) to handle model risk in portfolio optimization using a number of ‘real world’ constraints. Model risk is captured by adding a third objective in the algorithm to approximate portfolio Sharpe ratio errors..Results provide clear
45#
發(fā)表于 2025-3-29 07:24:15 | 只看該作者
Trading the FTSE100 Index: ‘Adaptive’ Modelling and Optimization Techniqueseptron neural network) and a GAMLPNN (genetic assisted multi-layer perceptron neural network) that uses a genetic algorithm for input selection and to determine optimal weights..The empirical results indicate that the adaptive PSO RBF (particle swarm optimization radial basis function) model outperf
46#
發(fā)表于 2025-3-29 11:54:00 | 只看該作者
47#
發(fā)表于 2025-3-29 16:50:02 | 只看該作者
GEPTrader: A New Standalone Tool for Constructing Trading Strategies with Gene Expression Programminacy of all models both statistical and trading performances are measured. In addition, two trading strategies are introduced to further improve the trading performance of the GEP variation. Experimental results indicated that the proposed approach outperforms all other models by producing superior e
48#
發(fā)表于 2025-3-29 20:30:09 | 只看該作者
Business Intelligence for Decision Making in Economics that are linked to a specific financial instrument or indicator or commodity, and through which specific financial risks can be traded in financial markets in their own right. Transactions in financial derivatives should be treated as separate transactions rather than as integral parts of the value
49#
發(fā)表于 2025-3-30 02:29:07 | 只看該作者
50#
發(fā)表于 2025-3-30 04:34:10 | 只看該作者
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