Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products
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DOI: 10.1007/s13563-022-00357-9
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- Robles, Miguel & Torero, Maximo & von Braun, Joachim, 2009. "When speculation matters:," Issue briefs 57, International Food Policy Research Institute (IFPRI).
- Helin Yin & Dong Jin & Yeong Hyeon Gu & Chang Jin Park & Sang Keun Han & Seong Joon Yoo, 2020. "STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM," Agriculture, MDPI, vol. 10(12), pages 1-17, December.
- Lin, Boqiang & Wu, Ya & Zhang, Li, 2011. "Estimates of the potential for energy conservation in the Chinese steel industry," Energy Policy, Elsevier, vol. 39(6), pages 3680-3689, June.
- Xiaojie Xu & Yun Zhang, 2022. "Second-hand house price index forecasting with neural networks," Journal of Property Research, Taylor & Francis Journals, vol. 39(3), pages 215-236, July.
- Jian Yang & Michael Haigh & David Leatham, 2001.
"Agricultural liberalization policy and commodity price volatility: a GARCH application,"
Applied Economics Letters, Taylor & Francis Journals, vol. 8(9), pages 593-598.
- Yang, Jian & Leatham, David J. & Haigh, Michael S., 1999. "Agricultural Liberalization Policy and Commodity Price Volatility: A GARCH Application," 1999 Regional Committee NC-221, 1999, Mississauga, Ontario, Canada 132337, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
- Chen, Dean T. & Bessler, David A., 1990.
"Forecasting monthly cotton price: Structural and time series approaches,"
International Journal of Forecasting, Elsevier, vol. 6(1), pages 103-113.
- Chen, Dean T. & Bessler, David A., 1988. "Forecasting Monthly Cotton Price: Structural and Time Series Approaches," Staff Reports 257920, Texas A&M University, Agricultural and Food Policy Center.
- Dimitrios Mouchtaris & Emmanouil Sofianos & Periklis Gogas & Theophilos Papadimitriou, 2021. "Forecasting Natural Gas Spot Prices with Machine Learning," Energies, MDPI, vol. 14(18), pages 1-13, September.
- Adli, Kaveh A. & Sener, Ugur, 2021. "Forecasting of the U.S. Steel Prices with LVAR and VEC Models," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 12(3), pages 509-522, July.
- Xiaojie Xu & Yun Zhang, 2021. "Rent index forecasting through neural networks," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(8), pages 1321-1339, November.
- Schroeter, Christiane & Lusk, Jayson & Tyner, Wallace, 2008. "Determining the impact of food price and income changes on body weight," Journal of Health Economics, Elsevier, vol. 27(1), pages 45-68, January.
- Ghassane Benrhmach & Khalil Namir & Abdelwahed Namir & Jamal Bouyaghroumni, 2020. "Nonlinear Autoregressive Neural Network and Extended Kalman Filters for Prediction of Financial Time Series," Journal of Applied Mathematics, John Wiley & Sons, vol. 2020(1).
- Yongmei Fang & Bo Guan & Shangjuan Wu & Saeed Heravi, 2020. "Optimal forecast combination based on ensemble empirical mode decomposition for agricultural commodity futures prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 877-886, September.
- Wang, Tao & Yang, Jian, 2010. "Nonlinearity and intraday efficiency tests on energy futures markets," Energy Economics, Elsevier, vol. 32(2), pages 496-503, March.
- Andreyeva, T. & Long, M.W. & Brownell, K.D., 2010. "The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 216-222.
- Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
- Ufuk Çelik & Çağatay Başarır, 2017. "The Prediction of Precious Metal Prices via Artificial Neural Network by Using RapidMiner," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 5(1), pages 45-54, June.
- Xiaojie Xu, 2017. "The rolling causal structure between the Chinese stock index and futures," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(4), pages 491-509, November.
- Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
- Xiarchos, Irene M., 2005. "Steel: Price Links between Primary and Scrap Market," 2005 Annual Meeting, February 5-9, 2005, Little Rock, Arkansas 35655, Southern Agricultural Economics Association.
- Xiaojie Xu, 2017. "Short-run price forecast performance of individual and composite models for 496 corn cash markets," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2593-2620, October.
- Wang, Jing & Dharmasena, Senarath & Bessler, David A., 2013. "Price Dynamics and Forecasts of World and China Vegetable Oil Markets," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151150, Agricultural and Applied Economics Association.
- Perry Sadorsky, 2021. "Predicting Gold and Silver Price Direction Using Tree-Based Classifiers," JRFM, MDPI, vol. 14(5), pages 1-21, April.
- Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2020. "Forecasting natural gas prices using highly flexible time-varying parameter models," Working Papers 2020-01, University of Tasmania, Tasmanian School of Business and Economics.
- Chukwudi Paul Obite & Desmond Chekwube Bartholomew & Ugochinyere Ihuoma Nwosu & Gladys Ezenwanyi Esiaba & Lawrence Chizoba Kiwu, 2021. "The Optimal Machine Learning Modeling of Brent Crude Oil Price," Quarterly Journal of Econometrics Research, Conscientia Beam, vol. 7(1), pages 31-43.
- Alameer, Zakaria & Fathalla, Ahmed & Li, Kenli & Ye, Haiwang & Jianhua, Zhang, 2020. "Multistep-ahead forecasting of coal prices using a hybrid deep learning model," Resources Policy, Elsevier, vol. 65(C).
- Sami Ben Jabeur & Rabeh Khalfaoui & Wissal Ben Arfi, 2021. "The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning," Post-Print hal-03797577, HAL.
- Zhishuo Liu & Yongcong Wang & Shuang Zhu & Baopeng Zhang & Lingyun Wei, 2015. "Steel Prices Index Prediction in China Based on BP Neural Network," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 603-608, Springer.
- Ivan Indriawan & Qingfu Liu & Yiuman Tse, 2019. "Market quality and the connectedness of steel rebar and other industrial metal futures in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1383-1393, November.
- Bessler, David A. & Hopkins, Jane C., 1986. "Forecasting an agricultural system with random walk priors," Agricultural Systems, Elsevier, vol. 21(1), pages 59-67.
- Christoph Wegener & Christian Spreckelsen & Tobias Basse & Hans‐Jörg Mettenheim, 2016. "Forecasting Government Bond Yields with Neural Networks Considering Cointegration," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(1), pages 86-92, January.
- Kling, John L. & Bessler, David A., 1985. "A comparison of multivariate forecasting procedures for economic time series," International Journal of Forecasting, Elsevier, vol. 1(1), pages 5-24.
- Matyjaszek, Marta & Riesgo Fernández, Pedro & Krzemień, Alicja & Wodarski, Krzysztof & Fidalgo Valverde, Gregorio, 2019. "Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory," Resources Policy, Elsevier, vol. 61(C), pages 283-292.
- Teresa Serra & José M. Gil, 2013.
"Price volatility in food markets: can stock building mitigate price fluctuations?,"
European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(3), pages 507-528, July.
- Serra, Teresa & Gil, Jose Maria, 2012. "Price volatility in food markets: can stock building mitigate price fluctuations?," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126055, International Association of Agricultural Economists.
- Shen Gao & Chenghan Hou & Bao H. Nguyen, 2020. "Forecasting natural gas prices using highly flexible time-varying parameter models," CAMA Working Papers 2020-30, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Jianguo Zhou & Shiguo Wang, 2021. "A Carbon Price Prediction Model Based on the Secondary Decomposition Algorithm and Influencing Factors," Energies, MDPI, vol. 14(5), pages 1-20, March.
- Jon A. Brandt & David A. Bessler, 1981. "Composite Forecasting: An Application with U.S. Hog Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 135-140.
- Ribeiro, Celma O. & Oliveira, Sydnei M., 2011. "A hybrid commodity price-forecasting model applied to the sugar–alcohol sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 1-19.
- Xiaojie Xu, 2019. "Price dynamics in corn cash and futures markets: cointegration, causality, and forecasting through a rolling window approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 155-181, June.
- Jian Yang & Zheng Li & Tao Wang, 2021. "Price discovery in chinese agricultural futures markets: A comprehensive look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(4), pages 536-555, April.
- Xiaojie Xu & Yun Zhang, 2022. "House price information flows among some major Chinese cities: linear and nonlinear causality in time and frequency domains," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 16(6), pages 1168-1192, September.
- Li, Jinchao & Wu, Qianqian & Tian, Yu & Fan, Liguo, 2021. "Monthly Henry Hub natural gas spot prices forecasting using variational mode decomposition and deep belief network," Energy, Elsevier, vol. 227(C).
- David A. Bessler, 1990. "Forecasting Multiple Time Series with Little Prior Information," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 788-792.
- Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "Are precious metals a hedge against exchange-rate movements? An empirical exploration using bayesian additive regression trees," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 27-38.
- Yang, Jian & Cabrera, Juan & Wang, Tao, 2010. "Nonlinearity, data-snooping, and stock index ETF return predictability," European Journal of Operational Research, Elsevier, vol. 200(2), pages 498-507, January.
- Roger A. Fujihara & Mbodja Mougoué, 1997. "An examination of linear and nonlinear causal relationships between price variability and volume in petroleum futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 17(4), pages 385-416, June.
- Awokuse, Titus O. & Yang, Jian, 2003.
"The informational role of commodity prices in formulating monetary policy: a reexamination,"
Economics Letters, Elsevier, vol. 79(2), pages 219-224, May.
- Awokuse, Titus O. & Yang, Jian, 2002. "The Informational Role Of Commodity Prices In Formulating Monetary Policy: A Reexamination," Staff Papers 15834, University of Delaware, Department of Food and Resource Economics.
- Sami Ben Jabeur & Salma Mefteh-Wali & Jean-Laurent Viviani, 2021. "Forecasting gold price with the XGBoost algorithm and SHAP interaction values," Post-Print hal-03331805, HAL.
- Xu, Xiaojie, 2014. "Price Discovery in U.S. Corn Cash and Futures Markets: The Role of Cash Market Selection," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169809, Agricultural and Applied Economics Association.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Xiaojie Xu, 2018. "Causal structure among US corn futures and regional cash prices in the time and frequency domain," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(13), pages 2455-2480, October.
- Guoqiang Sun & Tong Chen & Zhinong Wei & Yonghui Sun & Haixiang Zang & Sheng Chen, 2016. "A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks," Energies, MDPI, vol. 9(1), pages 1-16, January.
- Xiaojie Xu, 2018. "Intraday price information flows between the CSI300 and futures market: an application of wavelet analysis," Empirical Economics, Springer, vol. 54(3), pages 1267-1295, May.
- Guo, Z.C. & Fu, Z.X., 2010. "Current situation of energy consumption and measures taken for energy saving in the iron and steel industry in China," Energy, Elsevier, vol. 35(11), pages 4356-4360.
- Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.
- Chukwudi Paul Obite & Desmond Chekwube Bartholomew & Ugochinyere Ihuoma Nwosu & Gladys Ezenwanyi Esiaba & Lawrence Chizoba Kiwu, 2021. "The Optimal Machine Learning Modeling of Brent Crude Oil Price," Quarterly Journal of Econometrics Research, Conscientia Beam, vol. 7(1), pages 31-43.
- McIntosh, Christopher S. & Bessler, David A., 1988.
"Forecasting Agricultural Prices Using A Bayesian Composite Approach,"
Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-8, December.
- McIntosh, Christopher S. & Bessler, David A., 1988. "Forecasting Agricultural Prices Using a Bayesian Composite Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 20(2), pages 73-80, December.
- Bessler, David A & Babula, Ronald A, 1987. "Forecasting Wheat Exports: Do Exchange Rates Matter?," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(3), pages 397-406, July.
- Lin, Boqiang & Wang, Xiaolei, 2014. "Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach," Energy Policy, Elsevier, vol. 72(C), pages 87-96.
- Celma O. Ribeiro & Sydnei M. Oliveira, 2011. "A hybrid commodity price‐forecasting model applied to the sugar–alcohol sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 180-198, April.
- Xiaojie Xu, 2017. "Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs," Empirical Economics, Springer, vol. 52(2), pages 731-758, March.
- Xiaojie Xu, 2015. "Cointegration among regional corn cash prices," Economics Bulletin, AccessEcon, vol. 35(4), pages 2581-2594.
- Xiaojie Xu, 2018. "Cointegration and price discovery in US corn cash and futures markets," Empirical Economics, Springer, vol. 55(4), pages 1889-1923, December.
- Bessler, David A., 1982. "Adaptive Expectations, the Exponentially Weighted Forecast, and Optimal Statistical Predictors: A Revisit," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 34(02), pages 1-8, April.
- Lixin Tian & Huan Chen & Zaili Zhen, 2018. "Research on the forward-looking behavior judgment of heating oil price evolution based on complex networks," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-18, September.
- Youzhu Li & Chongguang Li & Mingyang Zheng, 2014. "A Hybrid Neural Network and H-P Filter Model for Short-Term Vegetable Price Forecasting," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, June.
- Wang, Jun & Cao, Junxing & Yuan, Shan & Cheng, Ming, 2021. "Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network," Energy, Elsevier, vol. 233(C).
- Zhang, Kefei & Cao, Hua & Thé, Jesse & Yu, Hesheng, 2022. "A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms," Applied Energy, Elsevier, vol. 306(PA).
- Yang Xu & Zhihao Xia & Chuanhui Wang & Weifeng Gong & Xia Liu & Xiaodi Su & Niansheng Tang, 2021. "An Empirical Analysis of the Price Volatility Characteristics of China’s Soybean Futures Market Based on ARIMA-GJR-GARCH Model," Journal of Mathematics, Hindawi, vol. 2021, pages 1-9, November.
- Yang, Jian & Su, Xiaojing & Kolari, James W., 2008. "Do Euro exchange rates follow a martingale? Some out-of-sample evidence," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 729-740, May.
- Krzysztof Drachal & Michał Pawłowski, 2021. "A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities," Economies, MDPI, vol. 9(1), pages 1-22, January.
- Wang, Zijun & Bessler, David A., 2004. "Forecasting performance of multivariate time series models with full and reduced rank: an empirical examination," International Journal of Forecasting, Elsevier, vol. 20(4), pages 683-695.
- Yin, Xiang & Chen, Wenying, 2013. "Trends and development of steel demand in China: A bottom–up analysis," Resources Policy, Elsevier, vol. 38(4), pages 407-415.
- Jian Yang & David J. Leatham, 1998. "Market efficiency of US grain markets: Application of cointegration tests," Agribusiness, John Wiley & Sons, Ltd., vol. 14(2), pages 107-112.
- David A Bessler & Jian Yang & Metha Wongcharupan, 2003. "Price Dynamics in the International Wheat Market: Modeling with Error Correction and Directed Acyclic Graphs," Journal of Regional Science, Wiley Blackwell, vol. 43(1), pages 1-33, February.
- Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
- David A. Bessler & John L. Kling, 1986. "Forecasting Vector Autoregressions with Bayesian Priors," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(1), pages 144-151.
- Ghassane Benrhmach & Khalil Namir & Abdelwahed Namir & Jamal Bouyaghroumni, 2020. "Nonlinear Autoregressive Neural Network and Extended Kalman Filters for Prediction of Financial Time Series," Journal of Applied Mathematics, Hindawi, vol. 2020, pages 1-6, April.
- Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).
- Li, Miao & Xiong, Tao, 2021. "Dynamic price discovery in Chinese agricultural futures markets," Journal of Asian Economics, Elsevier, vol. 76(C).
- Zhishuo Liu & Shuang Zhu & Yongcong Wang & Baopeng Zhang & Lingyun Wei, 2015. "Thread Steel Price Index Prediction in China Based On ARIMA Model," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 609-614, Springer.
- Xu, Xiaojie & Thurman, Walter, 2015. "Forecasting Local Grain Prices: An Evaluation of Composite Models in 500 Corn Cash Markets," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205332, Agricultural and Applied Economics Association.
- Xiaojie Xu & Yun Zhang, 2022. "Forecasting the total market value of a shares traded in the Shenzhen stock exchange via the neural network," Economics Bulletin, AccessEcon, vol. 42(3), pages 1266-1279.
- Chapoto, Antony & Jayne, Thomas S., 2009. "The Impacts of Trade Barriers and Market Interventions on Maize Price Predictability: Evidence from Eastern and Southern Africa," Food Security International Development Working Papers 56798, Michigan State University, Department of Agricultural, Food, and Resource Economics.
- Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among residential housing prices of ten major Chinese cities," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 16(4), pages 792-811, May.
- Roberto Louis Forestal & Shih-Ming Pi, 2021. "Using Artificial Neural networks and Optimal Scaling Model to Forecast Agriculture Commodity Price: An Ecological-economic Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(3), pages 1-3.
- Kyoungsu Kim & Seok Lim, 2019. "Price discovery and volatility spillover in spot and futures markets: evidences from steel-related commodities in China," Applied Economics Letters, Taylor & Francis Journals, vol. 26(5), pages 351-357, March.
- Bessler, David A. & Brandt, Jon A., 1992. "An analysis of forecasts of livestock prices," Journal of Economic Behavior & Organization, Elsevier, vol. 18(2), pages 249-263, July.
- Rotem Zelingher & David Makowski & Thierry Brunelle, 2020. "Forecasting impacts of Agricultural Production on Global Maize Price [Prévision des impacts de la production agricole sur les prix mondiaux du maïs]," CIRED Working Papers hal-02945775, HAL.
- Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.
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Keywords
Steel price forecasting; Long product; Flat product; Rolled product; Nonlinear autoregressive neural network;All these keywords.
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