Assert 发表于 2025-3-21 17:58:54

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新娘 发表于 2025-3-21 21:34:58

https://doi.org/10.1007/978-1-4899-3266-2rtificial intelligence techniques. It is observed that artificial intelligent methods are more accurate when compared to traditional statistical methods. This review would be helpful to the researchers planning to explore the interdisciplinary field of computational finance.

Ganglion-Cyst 发表于 2025-3-22 04:02:24

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PARA 发表于 2025-3-22 06:42:04

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languor 发表于 2025-3-22 11:10:19

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茁壮成长 发表于 2025-3-22 14:58:02

Linear Regression Versus Fuzzy Linear Regression: Does it Make a Difference in the Evaluation of themodified when we use FLR instead of OLS. These two approaches are applied on both the Treynor-Mazuy and Henriksson-Merton models over three sub-periods for a small sample of Greek equity mutual funds of different risk levels. According to our results, OLS and FLR models show great similarities, as observed by the estimated models.

Osmosis 发表于 2025-3-22 20:05:11

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cloture 发表于 2025-3-22 21:15:04

Trading the FTSE100 Index: ‘Adaptive’ Modelling and Optimization Techniquess chapter, which include the introduction of an input selection criteria when utilizing an expansive universe of inputs, adaptive sliding window modelling, a hybrid combination of PSO and RBF algorithms, the application of a PSO algorithm to a traditional ARMA model, and finally the introduction of

ineluctable 发表于 2025-3-23 02:16:14

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是剥皮 发表于 2025-3-23 07:35:32

GEPTrader: A New Standalone Tool for Constructing Trading Strategies with Gene Expression Programminon Programming (GEP) techniques. This tool is offered with a user-friendly interface that allows even the less sophisticated analysts, investors and academics to construct their own forecasting models. In a case study this chapter applies the GEPTrader to the task of forecasting and trading the SPDR
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查看完整版本: Titlebook: Artificial Intelligence in Financial Markets; Cutting Edge Applica Christian L. Dunis,Peter W. Middleton,Konstantinos Book 2016 The Editor(