COMEX COPPER SERIES

' Quel avenir du dinar tunisien face à l'euro ? Prévision avec le modèle ARIMA ,'Ĩ3937, University Library of Munich, Germany. Multi-dimensional, heavy-tailed-based modelling,' ' Market risk factors analysis for an international mining company. Bielak, Łukasz & Grzesiek, Aleksandra & Janczura, Joanna & Wyłomańska, Agnieszka, 2021.' Mean-reversion, non-linearities and the dynamics of industrial metal prices. Rubaszek, Michał & Karolak, Zuzanna & Kwas, Marek, 2020.' Common factors and the dynamics of industrial metal prices. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2021.' A novel grey wave forecasting method for predicting metal prices,' Chen, Yanhui & He, Kaijian & Zhang, Chuan, 2016.' Using entropy to assess dynamic behaviour of long-term copper price,' Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020.

' Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility,' & Elaziz, Mohamed Abd & Alameer, Zakaria & Ye, Haiwang & Jianhua, Zhang, 2020.

COMEX COPPER SERIES

' Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory,' Matyjaszek, Marta & Riesgo Fernández, Pedro & Krzemień, Alicja & Wodarski, Krzysztof & Fidalgo Valverde, Gregorio, 2019.These are the items that most often cite the same works as this one and are cited by the same works as this one. 31(1), pages 55-80, January.įull references (including those not matched with items on IDEAS) Journal of Futures Markets, John Wiley & Sons, Ltd., vol. ' Return distributions and volatility forecasting in metal futures markets: Evidence from gold, silver, and copper,' Khalifa & Hong Miao & Sanjay Ramchander, 2011. Journal of Applied Mathematics, Hindawi, vol. ' Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction,' Ayodele Ariyo Adebiyi & Aderemi Oluyinka Adewumi & Charles Korede Ayo, 2014.' An improved wavelet–ARIMA approach for forecasting metal prices,' Kriechbaumer, Thomas & Angus, Andrew & Parsons, David & Rivas Casado, Monica, 2014.

' Duration and characteristics of metal price cycles,' Journal of Statistical Software, Foundation for Open Access Statistics, vol. ' Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS,' Bergmeir, Christoph & Benítez, José M., 2012.' Can oil prices help estimate commodity futures prices? The cases of copper and silver,' Cortazar, Gonzalo & Eterovic, Francisco, 2010.' Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm,' Ma, Weimin & Zhu, Xiaoxi & Wang, Miaomiao, 2013.Labys, W C & Lesourd, J B & Badillo, D, 1998.' The Econometric Modelling of Financial Time Series,'Ĭambridge University Press, number 9780521710091. ' Simultaneity, Forecasting and Profits in London Copper Futures,'Īustralian Economic Papers, Wiley Blackwell, vol. Monash Econometrics and Business Statistics Working PapersĦ/07, Monash University, Department of Econometrics and Business Statistics. ' Automatic time series forecasting: the forecast package for R,'

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