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在“Elsevier电子期刊”中，命中：42条，耗时：0.0429821 秒

在所有数据库中总计命中：127条

1.An integrated approach to optimize moving average rules in the EUA futures market based on particle swarm optimization and genetic algorithms

作者：Xiaojia Liu^a ; ^b ; Haizhong An^a ; ^b ; ^c ; ^{ahz369@163.com} ; Lijun Wang^a ; ^b ; Xiaoliang Jia^a ; ^b

关键词：Carbon emission trading ; EUA futures market ; Moving average trading rules ; Particle swarm optimization ; Genetic algorithms

刊名：Applied Energy

出版年：2017

2.Selecting dynamic moving average trading rules in the crude oil futures market using a genetic approach

作者：Lijun Wang^a ; ^b ; Haizhong An^a ; ^b ; ^c ; ^{ahz369@163.com" class="auth_mail" title="E-mail the corresponding author} ; Xiaojia Liu^a ; ^b ; Xuan Huang^a ; ^b

关键词：Crude oil futures market ; Genetic algorithm ; Technical analysis ; Moving average trading rules

刊名：Applied Energy

出版年：2016

3.The Sensitivity of Moving Average Trading Rules Performance with Respect to Methodological Assumptions

作者：Zoicaş-Ienciu Adrian ; ^{adrian.zoicas@econ.ubbcluj.ro" class="auth_mail" title="E-mail the corresponding author}

关键词：technical analysis ; moving averages ; trading rules ; weak form market efficiency

刊名：Procedia Economics and Finance

出版年：2015

4.The profitability of moving average trading rules in BRICS and emerging stock markets

关键词：G1 ; M1 ; M2

刊名：The North American Journal of Economics and Finance

出版年：2016

5.Analysis of Moving Average Rules Applicability in Czech Stock Market

作者：Ale&scaron ; Kresta^a ; ^{ales.kresta@vsb.cz" class="auth_mail" title="E-mail the corresponding author} ; Jiří ; Franek^b

关键词：automated trading system ; efficient markets ; moving averages ; data snooping bias

刊名：Procedia Economics and Finance

出版年：2015

6.MA trading rules, herding behaviors, and stock market overreaction

作者：Yensen Ni^a ; Yi-Ching Liao^a ; Paoyu Huang^b ; ^{hpy@scu.edu.tw" class="auth_mail" title="E-mail the corresponding author}

关键词：Moving average ; Herding behavior ; Overreaction

刊名：International Review of Economics & Finance

出版年：2015

7.Profitability of simple technical trading rules of Chinese stock exchange indexes

作者：Hong Zhu^a ; Zhi-Qiang Jiang^a ; ^b ; ^{zqjiang@ecust.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Sai-Ping Li^b ; ^c ; Wei-Xing Zhou^a ; ^b ; ^d ; ^{wxzhou@ecust.edu.cn" class="auth_mail" title="E-mail the corresponding author}

关键词：Econophysics ; Technical trading rules ; Profitability ; White&rsquo ; s Reality Check ; Bootstrap ; Transaction costs

刊名：Physica A: Statistical Mechanics and its Applications

出版年：2015

8.Investment Strategy Optimization Using Technical Analysis and Predictive Modeling in Emerging Markets

作者：Jelena Stanković^a ; ^{jelenas@eknfak.ni.ac.rs" class="auth_mail" title="E-mail the corresponding author} ; Ivana Marković^a ; Milo&scaron ; Stojanović^b

关键词：Technical Analysis ; Emerging Markets ; Trading Strategy ; Predictive Modeling ; LS - SVM

刊名：Procedia Economics and Finance

出版年：2015

9.Combining technical trading rules using particle swarm optimization

作者：Fei Wang ; Philip L.H. Yu ; David W. Cheung

关键词：Technical trading rules ; Particle swarm optimization ; Bootstrapping

刊名：Expert Systems with Applications

出版年：May, 2014

10.Testing the profitability of moving-average rules as a portfolio selection strategy

作者：Vlad Pavlov ; Stan Hurn

关键词：C22 ; C53

刊名：Pacific-Basin Finance Journal

出版年：2012

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