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Guocheng Xiang

Personal Details

First Name:Guocheng
Middle Name:
Last Name:Xiang
Suffix:
RePEc Short-ID:pxi156
[This author has chosen not to make the email address public]

Affiliation

School of Business
Hunan University of Science and Technology

Xiang-Tan, China
http://dep2.hnust.cn:9080/sxy/index.html
RePEc:edi:cchuscn (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Mingjun Deng & Guocheng Xiang & Shuntian Yao, 2018. "The Effectiveness of the Multilateral Coalition to Develop a Green Agricultural Products Market in China Based on a TU Cooperative Game Analysis," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
  2. Kaijian He & Kin Keung Lai & Guocheng Xiang, 2012. "Portfolio Value at Risk Estimate for Crude Oil Markets: A Multivariate Wavelet Denoising Approach," Energies, MDPI, vol. 5(4), pages 1-26, April.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Mingjun Deng & Guocheng Xiang & Shuntian Yao, 2018. "The Effectiveness of the Multilateral Coalition to Develop a Green Agricultural Products Market in China Based on a TU Cooperative Game Analysis," Sustainability, MDPI, vol. 10(5), pages 1-17, May.

    Cited by:

    1. Anxin Xu & Chenwen Wei & Manhua Zheng & Lili Sun & Decong Tang, 2022. "Influence of Perceived Value on Repurchase Intention of Green Agricultural Products: From the Perspective of Multi-Group Analysis," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    2. Lin Feng & Lingyan Xu & Zhuoyun Zhou & Jianguo Du & Dandan Wang, 2022. "The Influence of Social Preference and Governments’ Strong Reciprocity on Agricultural Green Production Networks under Intensive Management in China," Sustainability, MDPI, vol. 14(23), pages 1-29, December.
    3. Zhou, Wei & Zhang, Keang & Zhang, Ying & Duan, Yunlong, 2021. "Operation strategies with respect to insurance subsidy optimization for online retailers dealing with large items," International Journal of Production Economics, Elsevier, vol. 232(C).
    4. Yuqiang Wu & Weiwei Guo & Zigong Cai & Yang Tong & Jingpeng Chen, 2023. "Research on Contract Coordination Mechanism of Contract Farming Considering the Green Innovation Level," Sustainability, MDPI, vol. 15(4), pages 1-14, February.

  2. Kaijian He & Kin Keung Lai & Guocheng Xiang, 2012. "Portfolio Value at Risk Estimate for Crude Oil Markets: A Multivariate Wavelet Denoising Approach," Energies, MDPI, vol. 5(4), pages 1-26, April.

    Cited by:

    1. Suleman Sarwar & Ghazala Aziz & Daniel Balsalobre-Lorente, 2023. "Forecasting Accuracy of Traditional Regression, Machine Learning, and Deep Learning: A Study of Environmental Emissions in Saudi Arabia," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    2. Zhi-Fu Mi & Yi-Ming Wei & Bao-Jun Tang & Rong-Gang Cong & Hao Yu & Hong Cao & Dabo Guan, 2017. "Risk assessment of oil price from static and dynamic modelling approaches," CEEP-BIT Working Papers 102, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. He, Kaijian & Liu, Youjin & Yu, Lean & Lai, Kin Keung, 2016. "Multiscale dependence analysis and portfolio risk modeling for precious metal markets," Resources Policy, Elsevier, vol. 50(C), pages 224-233.
    4. Rania Jammazi & Duc Khuong Nguyen, 2017. "Estimating and forecasting portfolio’s Value-at-Risk with wavelet-based extreme value theory: Evidence from crude oil prices and US exchange rates," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1352-1362, November.
    5. Yu, Lean & Zhao, Yang & Tang, Ling, 2014. "A compressed sensing based AI learning paradigm for crude oil price forecasting," Energy Economics, Elsevier, vol. 46(C), pages 236-245.
    6. Kaijian He & Hongqian Wang & Jiangze Du & Yingchao Zou, 2016. "Forecasting Electricity Market Risk Using Empirical Mode Decomposition (EMD)—Based Multiscale Methodology," Energies, MDPI, vol. 9(11), pages 1-11, November.

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