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Zhongpei Cen et al.
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Yu-Xi Wu et al.
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Esmail Ansari et al.
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Ranjeeta Bisoi et al.
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Aytac Altan et al.
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Henry gas solubility optimization: A novel physics-based algorithm
Fatma A. Hashim et al.
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Lili Huang et al.
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Multi-step-ahead crude oil price forecasting using a hybrid grey wave model
Yanhui Chen et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2018)
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Jian Chai et al.
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A study on chaos in crude oil markets before and after 2008 international financial crisis
Salim Lahmiri
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How crude oil prices shape the global division of labor
Francesco Picciolo et al.
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Forecasting oil and stock returns with a Qual VAR using over 150 years off data
Rangan Gupta et al.
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A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting
Lean Yu et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2016)
Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction
Haruna Chiroma et al.
APPLIED ENERGY (2015)
Multiobjective optimization based adaptive models with fuzzy decision making for stock market forecasting
Babita Majhi et al.
NEUROCOMPUTING (2015)
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Jin-Liang Zhang et al.
ENERGY ECONOMICS (2015)
Predicting oil price movements: A dynamic Artificial Neural Network approach
Ali Abbasi Godarzi et al.
ENERGY POLICY (2014)
Financial structure on growth and volatility
Chih-Chuan Yeh et al.
ECONOMIC MODELLING (2013)
A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting
Ali Azadeh et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2012)
Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?
Yudong Wang et al.
ENERGY ECONOMICS (2012)
Oil price shocks and European industries
Bert Scholtens et al.
ENERGY ECONOMICS (2012)
International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models
Hassan Mohammadi et al.
ENERGY ECONOMICS (2010)
Technical analysis: An asset allocation perspective on the use of moving averages
Yingzi Zhu et al.
JOURNAL OF FINANCIAL ECONOMICS (2009)
Forecast of oil price and consumption in the short term under three scenarios: Parabolic, linear and chaotic behaviour
F. Gori et al.
ENERGY (2007)
Is smarter better? A comparison of adaptive, and simple moving average trading strategies
Craig A. Ellis et al.
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE (2005)
Multifractal Hurst analysis of crude oil prices
J Alvarez-Ramirez et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2002)