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Publications

by members of

Hunan University → Business School

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. This page is updated in the first days of each month.
| Working papers | Journal articles | Chapters |

Working papers

2024

  1. Abdelhamid Addi & Matteo Foglia & Gang-Jin Wang & Federica Miglietta, 2024, "Crossroads of volatility spillover: Interactions between Islamic and conventional financial systems," Post-Print, HAL, number hal-04891652, Nov, DOI: 10.1016/j.ribaf.2024.102700.

2021

  1. Longfeng Zhao & Chao Wang & Gang-Jin Wang & H. Eugene Stanley & Lin Chen, 2021, "Community detection and portfolio optimization," Papers, arXiv.org, number 2112.13383, Dec.
  2. Gang-Jin Wang & Hui-Bin Si & Yang-Yang Chen & Chi Xie & Julien Chevallier, 2021, "Time domain and frequency domain Granger causality networks: Application to China’s financial institutions," Post-Print, HAL, number halshs-04250263, Mar, DOI: 10.1016/j.frl.2020.101662.
  3. Gang-Jin Wang & Yang-Yang Chen & Hui-Bin Si & Chi Xie & Julien Chevallier, 2021, "Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions," Post-Print, HAL, number halshs-04250264, May, DOI: 10.1016/j.iref.2021.01.005.
  4. Yue-Jun Zhang & Han Zhang & Rangan Gupta, 2021, "Forecasting the Artificial Intelligence Index Returns: A Hybrid Approach," Working Papers, University of Pretoria, Department of Economics, number 202182, Nov.

2020

  1. Ying-Ying Shen & Zhi-Qiang Jiang & Jun-Chao Ma & Gang-Jin Wang & Wei-Xing Zhou, 2020, "Sector connectedness in the Chinese stock markets," Papers, arXiv.org, number 2002.09097, Feb.
  2. Wei-Zhen Li & Jin-Rui Zhai & Zhi-Qiang Jiang & Gang-Jin Wang & Wei-Xing Zhou, 2020, "Predicting tail events in a RIA-EVT-Copula framework," Papers, arXiv.org, number 2004.03190, Apr, revised Apr 2020.
  3. Yue-Jun Zhang & Elie Bouri & Shu-Jiao Ma & Rangan Gupta, 2020, "Risk Spillover between Bitcoin and Conventional Financial Markets: An Expectile-Based Approach," Working Papers, University of Pretoria, Department of Economics, number 202027, Mar.
  4. Shixuan Wang & Rangan Gupta & Yue-Jun Zhang, 2020, "Bear, Bull, Sidewalk, and Crash: The Evolution of the US Stock Market Using Over a Century of Daily Data," Working Papers, University of Pretoria, Department of Economics, number 202097, Oct.

2018

  1. Yu-Lei Wan & Gang-Jin Wang & Zhi-Qiang Jiang & Wen-Jie Xie & Wei-Xing Zhou, 2018, "The cooling-off effect of price limits in the Chinese stock markets," Papers, arXiv.org, number 1803.09422, Mar.

2017

  1. Longfeng Zhao & Gang-Jin Wang & Mingang Wang & Weiqi Bao & Wei Li & H. Eugene Stanley, 2017, "Stock market as temporal network," Papers, arXiv.org, number 1712.04863, Dec.

2016

  1. Zhi-Qiang Jiang & Gang-Jin Wang & Askery Canabarro & Boris Podobnik & Chi Xie & H. Eugene Stanley & Wei-Xing Zhou, 2016, "Short term prediction of extreme returns based on the recurrence interval analysis," Papers, arXiv.org, number 1610.08230, Oct.
  2. Zhi-Qiang Jiang & Yan-Hong Yang & Gang-Jin Wang & Wei-Xing Zhou, 2016, "Joint multifractal analysis based on wavelet leaders," Papers, arXiv.org, number 1611.00897, Nov.

2015

  1. Yue-Jun Zhang & Ting Yao & Ling-Yun He, 2015, "Forecasting crude oil market volatility: can the Regime Switching GARCH model beat the single-regime GARCH models?," Papers, arXiv.org, number 1512.01676, Dec.

2013

  1. Hao Yu & Bing Wang & Yue-Jun Zhang & Yi-Ming Wei, 2013, "Public perception of climate change in China: Results from the questionnaire survey," CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number 42, Jan.
  2. Yue-Jun Zhang & Ya-Bin Da, 2013, "Decomposing the changes of energy-related carbon emissions in China: Evidence from the PDA approach," CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number 45, Mar.

2012

  1. Tian-Jian Yang & Yue-Jun Zhang & Jin Huang & Ruo-Hong Peng, 2012, "Estimating the energy saving potential of telecom operators in China," CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number 37, Jul.

2010

  1. Yue-Jun Zhang & Jing-Li Fan & Hao-Ran Chang, 2010, "Impact of China's stock market development on energy consumption: An empirical analysis," CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number 10, Aug.
  2. Yue-Jun Zhang, 2010, "Interpreting the dynamic nexus between energy consumption and economic growth: Empirical evidence from Russia," CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number 7, Jun.
  3. Yue-Jun Zhang, 2010, "The impact of financial development on carbon emissions: an empirical analysis in China," CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number 8, Jul.
  4. Zhi-Fu Mi & Yue-Jun Zhang, 2010, "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number 9, Jul.

2009

  1. Yue-Jun Zhang & Yi-Ming Wei, 2009, "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number 3, Jul.
  2. Yue-Jun Zhang & Yi-Ming Wei, 2009, "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number 5, Oct.

Journal articles

2026

  1. Hu, Yunchao & Wang, Gang-Jin & Gao, Wenyu & Lu, Guibin & Uddin, Gazi Salah, 2026, "Connectedness and systemic importance of global financial markets: A multilayer network perspective," Research in International Business and Finance, Elsevier, volume 84, issue C, DOI: 10.1016/j.ribaf.2026.103336.
  2. Gang-Jin Wang & Xiangmei Lin & You Zhu & Chi Xie & Gazi Salah Uddin, 2026, "Corporate ESG performance and systemic risk: a network perspective," Annals of Operations Research, Springer, volume 357, issue 1, pages 739-777, February, DOI: 10.1007/s10479-024-06163-6.

2025

  1. Gong, Jue & Wang, Gang-Jin & Zhou, Yang & Xie, Chi, 2025, "Cross-market volatility forecasting with attention-based spatial–temporal graph convolutional networks," Journal of Empirical Finance, Elsevier, volume 83, issue C, DOI: 10.1016/j.jempfin.2025.101639.
  2. Cao, Jin-Hui & Xie, Chi & Zhou, Yang & Wang, Gang-Jin & Zhu, You, 2025, "Forecasting carbon price: A novel multi-factor spatial-temporal GNN framework integrating Graph WaveNet and self-attention mechanism," Energy Economics, Elsevier, volume 144, issue C, DOI: 10.1016/j.eneco.2025.108318.
  3. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Zhu, You, 2025, "The role of uncertainty in return spillovers among digital, green, and traditional financial assets: New insights from the shock of unprecedented events," International Review of Financial Analysis, Elsevier, volume 103, issue C, DOI: 10.1016/j.irfa.2025.104225.
  4. Li, Jing & Xie, Chi & Wang, Gang-Jin & Foglia, Matteo, 2025, "Predicting credit risk in SCF: A novel framework with explainable GraphSAGE based on network integration," International Review of Financial Analysis, Elsevier, volume 104, issue PA, DOI: 10.1016/j.irfa.2025.104305.
  5. Peng, Qiaosheng & Zhu, You & Wang, Gang-Jin, 2025, "SCF credit risk assessment with limited labeled data using label propagation algorithm and complex network approaches," International Review of Financial Analysis, Elsevier, volume 107, issue C, DOI: 10.1016/j.irfa.2025.104619.
  6. Cao, Jin-Hui & Xie, Chi & Wang, Gang-Jin & Zhu, You & Liu, Jiatong, 2025, "Time-frequency co-movements between climate uncertainty and carbon market returns: Evidence based on wavelet coherence analysis," Finance Research Letters, Elsevier, volume 74, issue C, DOI: 10.1016/j.frl.2025.106778.
  7. Zhang, Zhi-Yu & Xie, Chi & Wang, Gang-Jin & Zhu, You & Li, Xiao-Xin, 2025, "From noise to signals: Investor attention as a catalyst for the momentum effect in the Chinese stock market," Global Finance Journal, Elsevier, volume 67, issue C, DOI: 10.1016/j.gfj.2025.101175.
  8. Li, Xiao-Xin & Xie, Chi & Wang, Gang-Jin & Zhu, You & Li, Zhao-Chen & Zhang, Zhi-Yu, 2025, "Enhancing stock market return predictability by using a novel autoencoder-based aggregate EPU index," Pacific-Basin Finance Journal, Elsevier, volume 93, issue C, DOI: 10.1016/j.pacfin.2025.102873.
  9. Yang, Yajie & Zhao, Longfeng & Chen, Lin & Wang, Chao & Wang, Gang-Jin, 2025, "The spillover effects between renewable energy tokens and energy assets," Research in International Business and Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.ribaf.2024.102672.
  10. Addi, Abdelhamid & Foglia, Matteo & Wang, Gang-Jin & Miglietta, Federica, 2025, "Crossroads of volatility spillover: Interactions between Islamic and conventional financial systems," Research in International Business and Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.ribaf.2024.102700.
  11. Yang Zhou & Chi Xie & Gang-Jin Wang & Jue Gong & You Zhu, 2025, "Forecasting cryptocurrency volatility: a novel framework based on the evolving multiscale graph neural network," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 11, issue 1, pages 1-52, December, DOI: 10.1186/s40854-025-00768-x.
  12. Zhao-Dong Li & Chi Xie & Zhi-Jian Zeng & Gang-Jin Wang & You Zhu, 2025, "Can stock market always act as a ‘barometer’ for industrial system? An analysis on the connectedness between production and return spillover networks," Applied Economics, Taylor & Francis Journals, volume 57, issue 59, pages 10594-10610, December, DOI: 10.1080/00036846.2024.2439062.

2024

  1. Wang, Gang-Jin & Chen, Yan & Zhu, You & Xie, Chi, 2024, "Systemic risk prediction using machine learning: Does network connectedness help prediction?," International Review of Financial Analysis, Elsevier, volume 93, issue C, DOI: 10.1016/j.irfa.2024.103147.
  2. Gong, Jue & Wang, Gang-Jin & Xie, Chi & Uddin, Gazi Salah, 2024, "How do market volatility and risk aversion sentiment inter-influence over time? Evidence from Chinese SSE 50 ETF options," International Review of Financial Analysis, Elsevier, volume 95, issue PB, DOI: 10.1016/j.irfa.2024.103440.
  3. Yahya, Muhammad & Allahdadi, Mohammad Reza & Uddin, Gazi Salah & Park, Donghyun & Wang, Gang-Jin, 2024, "Multilayer information spillover network between ASEAN-4 and global bond, forex and stock markets," Finance Research Letters, Elsevier, volume 59, issue C, DOI: 10.1016/j.frl.2023.104748.
  4. Liu, Jiatong & Zhu, You & Wang, Gang-Jin & Xie, Chi & Wang, Qilin, 2024, "Risk contagion of NFT: A time-frequency risk spillover perspective in the Carbon-NFT-Stock system," Finance Research Letters, Elsevier, volume 59, issue C, DOI: 10.1016/j.frl.2023.104765.
  5. Foglia, Matteo & Di Tommaso, Caterina & Wang, Gang-Jin & Pacelli, Vincenzo, 2024, "Interconnectedness between stock and credit markets: The role of European G-SIBs in a multilayer perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 91, issue C, DOI: 10.1016/j.intfin.2024.101942.
  6. Ouyang, Zisheng & Zhou, Xuewei & Wang, Gang-jin & Liu, Shuwen & Lu, Min, 2024, "Multilayer networks in the frequency domain: Measuring volatility connectedness among Chinese financial institutions," International Review of Economics & Finance, Elsevier, volume 92, issue C, pages 909-928, DOI: 10.1016/j.iref.2024.02.070.
  7. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Gong, Jue & Li, Zhao-Chen & Zhu, You, 2024, "Who dominate the information flowing between innovative and traditional financial assets? A multiscale entropy-based approach," International Review of Economics & Finance, Elsevier, volume 93, issue PB, pages 329-358, DOI: 10.1016/j.iref.2024.04.027.
  8. Li, Zhao-Chen & Xie, Chi & Wang, Gang-Jin & Zhu, You & Zeng, Zhi-Jian & Gong, Jue, 2024, "Forecasting global stock market volatilities: A shrinkage heterogeneous autoregressive (HAR) model with a large cross-market predictor set," International Review of Economics & Finance, Elsevier, volume 93, issue PB, pages 673-711, DOI: 10.1016/j.iref.2024.05.008.
  9. Federica Miglietta & Matteo Foglia & Gang-Jin Wang, 2024, "Interconnectedness between Islamic and conventional banks: a multilayer network view," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, volume 17, issue 5, pages 883-914, August, DOI: 10.1108/IMEFM-04-2024-0209.
  10. Qiaosheng Peng & Chi Xie & Jing Li & You Zhu & Gang-Jin Wang, 2024, "Impact of Enterprises Relationship on ML’s Ability to Forecast SME’s Credit Risk in SCF: A Research Based on Complex Network," Emerging Markets Finance and Trade, Taylor & Francis Journals, volume 60, issue 11, pages 2594-2612, September, DOI: 10.1080/1540496X.2024.2324195.
  11. Yan Chen & Gang-Jin Wang & You Zhu & Chi Xie & Gazi Salah Uddin, 2024, "Identifying systemic risk drivers of FinTech and traditional financial institutions: machine learning-based prediction and interpretation," The European Journal of Finance, Taylor & Francis Journals, volume 30, issue 18, pages 2157-2190, December, DOI: 10.1080/1351847X.2024.2358940.
  12. Shi, Wei & Zhang, Yue-Jun & Liu, Jing-Yue, 2024, "Investigating the role of emissions trading system in reducing enterprise energy intensity: Evidence from China," Energy Economics, Elsevier, volume 140, issue C, DOI: 10.1016/j.eneco.2024.108005.
  13. Zhu, Tian-Tian & Yang, Fei & Zhang, Yue-Jun, 2024, "Evaluating the efficiency of online course resource allocation in universities of China," Evaluation and Program Planning, Elsevier, volume 107, issue C, DOI: 10.1016/j.evalprogplan.2024.102481.
  14. Zhang, Yue-Jun & Shi, Wei & Liu, Jing-Yue, 2024, "Inhibiting or promoting? The impact of carbon emissions trading on corporate environmental responsibility," International Review of Financial Analysis, Elsevier, volume 96, issue PB, DOI: 10.1016/j.irfa.2024.103703.
  15. Lin, Xin-Yi & Liu, Jing-Yue & Zhang, Yue-Jun, 2024, "Does corporate social responsibility affect stock liquidity? Evidence from China," Finance Research Letters, Elsevier, volume 60, issue C, DOI: 10.1016/j.frl.2023.104854.
  16. Liu, Jing-Yue & Lei, Quan & Li, Ruojin & Zhang, Yue-Jun, 2024, "Resistance or motivation? Impact of climate risk on corporate greenwashing: An empirical study of Chinese enterprises," Global Finance Journal, Elsevier, volume 62, issue C, DOI: 10.1016/j.gfj.2024.101030.
  17. Wang, Chao & Zhang, Yue-Jun, 2024, "Does environmental investment improve corporate productivity? Evidence from Chinese listed firms," Structural Change and Economic Dynamics, Elsevier, volume 70, issue C, pages 398-409, DOI: 10.1016/j.strueco.2024.05.007.
  18. Li, Chen & Liu, Zhao & Song, Rong & Zhang, Yue-Jun, 2024, "The impact of green credit guidelines on environmental performance: Firm-level evidence from China," Technological Forecasting and Social Change, Elsevier, volume 205, issue C, DOI: 10.1016/j.techfore.2024.123524.
  19. Yue-Jun Zhang & Wei Wang, 2024, "How Does China’s Carbon Emissions Trading Policy Affect the Financing of High-Carbon Enterprises?," The Energy Journal, , volume 45, issue 4, pages 223-245, July, DOI: 10.1177/01956574241281564.

2023

  1. Feng, Yusen & Wang, Gang-Jin & Zhu, You & Xie, Chi, 2023, "Systemic risk spillovers and the determinants in the stock markets of the Belt and Road countries," Emerging Markets Review, Elsevier, volume 55, issue C, DOI: 10.1016/j.ememar.2023.101020.
  2. Li, Zhao-Chen & Xie, Chi & Zeng, Zhi-Jian & Wang, Gang-Jin & Zhang, Ting, 2023, "Forecasting global stock market volatilities in an uncertain world," International Review of Financial Analysis, Elsevier, volume 85, issue C, DOI: 10.1016/j.irfa.2022.102463.
  3. Wang, Gang-Jin & Wan, Li & Feng, Yusen & Xie, Chi & Uddin, Gazi Salah & Zhu, You, 2023, "Interconnected multilayer networks: Quantifying connectedness among global stock and foreign exchange markets," International Review of Financial Analysis, Elsevier, volume 86, issue C, DOI: 10.1016/j.irfa.2023.102518.
  4. Elsayed, Ahmed H. & Naifar, Nader & Uddin, Gazi Salah & Wang, Gang-Jin, 2023, "Multilayer information spillover networks between oil shocks and banking sectors: Evidence from oil-rich countries," International Review of Financial Analysis, Elsevier, volume 87, issue C, DOI: 10.1016/j.irfa.2023.102602.
  5. Chen, Yan & Wang, Gang-Jin & Zhu, You & Xie, Chi & Uddin, Gazi Salah, 2023, "Quantile connectedness and the determinants between FinTech and traditional financial institutions: Evidence from China," Global Finance Journal, Elsevier, volume 58, issue C, DOI: 10.1016/j.gfj.2023.100906.
  6. Gong, Jue & Wang, Gang-Jin & Zhou, Yang & Zhu, You & Xie, Chi & Foglia, Matteo, 2023, "Spreading of cross-market volatility information: Evidence from multiplex network analysis of volatility spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 83, issue C, DOI: 10.1016/j.intfin.2023.101733.
  7. Foglia, Matteo & Pacelli, Vincenzo & Wang, Gang-Jin, 2023, "Systemic risk propagation in the Eurozone: A multilayer network approach," International Review of Economics & Finance, Elsevier, volume 88, issue C, pages 332-346, DOI: 10.1016/j.iref.2023.06.035.
  8. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Zhu, You & Uddin, Gazi Salah, 2023, "Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning," Research in International Business and Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.ribaf.2022.101846.
  9. Li, Zhao-Chen & Xie, Chi & Wang, Gang-Jin & Zhu, You & Long, Jian-You & Zhou, Yang, 2023, "Forecasting stock market volatility under parameter and model uncertainty," Research in International Business and Finance, Elsevier, volume 66, issue C, DOI: 10.1016/j.ribaf.2023.102084.
  10. Zhang, Yue-Jun & Liu, Jing-Yue & Woodward, Richard T., 2023, "Has Chinese Certified Emission Reduction trading reduced rural poverty in China?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, volume 67, issue 03, April, DOI: 10.22004/ag.econ.343053.
  11. Du, Mengfan & Zhang, Yue-Jun, 2023, "The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities," Energy Economics, Elsevier, volume 124, issue C, DOI: 10.1016/j.eneco.2023.106769.
  12. Peng, Hua-Rong & Zhang, Yue-Jun & Liu, Jing-Yue, 2023, "The energy rebound effect of digital development: Evidence from 285 cities in China," Energy, Elsevier, volume 270, issue C, DOI: 10.1016/j.energy.2023.126837.
  13. Sun, Ya-Fang & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin, 2023, "How do imports change the energy consumption of China? An analysis of its role in intermediate inputs and final demands," Energy, Elsevier, volume 270, issue C, DOI: 10.1016/j.energy.2023.126947.
  14. Zhang, Yue-Jun & Zhang, Han, 2023, "Volatility forecasting of crude oil futures market: Which structural change-based HAR models have better performance?," International Review of Financial Analysis, Elsevier, volume 85, issue C, DOI: 10.1016/j.irfa.2022.102454.
  15. Wang, Li & Zhang, Xin-Hua & Zhang, Yue-Jun, 2023, "Designing the pricing mechanism of residents’ self-selection sales electricity based on household size," International Review of Economics & Finance, Elsevier, volume 83, issue C, pages 860-878, DOI: 10.1016/j.iref.2022.10.015.
  16. Yue-Jun Zhang & Han Zhang, 2023, "Volatility Forecasting of Crude Oil Market: Which Structural Change Based GARCH Models have Better Performance?," The Energy Journal, , volume 44, issue 1, pages 175-194, January, DOI: 10.5547/ej44-1-Zhang.
  17. Yue-Jun Zhang & Ya-Fang Sun & Bao-Feng Huo, 2023, "The optimal product pricing and carbon emissions reduction profit allocation of CET-covered enterprises in the cooperative supply chain," Annals of Operations Research, Springer, volume 329, issue 1, pages 871-899, October, DOI: 10.1007/s10479-021-04162-5.
  18. Yue-Jun Zhang & Han Zhang & Rangan Gupta, 2023, "A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 9, issue 1, pages 1-23, December, DOI: 10.1186/s40854-023-00483-5.
  19. Tian-Tian Zhu & Ya-Hua Lu & Yue-Jun Zhang, 2023, "Evaluating the scientific and technological innovation efficiency of universities in China: evidence from the global Malmquist–Luenberger index model," Applied Economics, Taylor & Francis Journals, volume 55, issue 12, pages 1341-1355, March, DOI: 10.1080/00036846.2022.2097185.

2022

  1. Qian, Biyu & Wang, Gang-Jin & Feng, Yusen & Xie, Chi, 2022, "Partial cross-quantilogram networks: Measuring quantile connectedness of financial institutions," The North American Journal of Economics and Finance, Elsevier, volume 60, issue C, DOI: 10.1016/j.najef.2022.101645.
  2. Ling, Yu-Xiu & Xie, Chi & Wang, Gang-Jin, 2022, "Interconnectedness between convertible bonds and underlying stocks in the Chinese capital market: A multilayer network perspective," Emerging Markets Review, Elsevier, volume 52, issue C, DOI: 10.1016/j.ememar.2022.100912.
  3. Foglia, Matteo & Addi, Abdelhamid & Wang, Gang-Jin & Angelini, Eliana, 2022, "Bearish Vs Bullish risk network: A Eurozone financial system analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 77, issue C, DOI: 10.1016/j.intfin.2022.101522.
  4. Li, Wei-Zhen & Zhai, Jin-Rui & Jiang, Zhi-Qiang & Wang, Gang-Jin & Zhou, Wei-Xing, 2022, "Predicting tail events in a RIA-EVT-Copula framework," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 600, issue C, DOI: 10.1016/j.physa.2022.127524.
  5. Wang, Gang-Jin & Xiong, Lu & Zhu, You & Xie, Chi & Foglia, Matteo, 2022, "Multilayer network analysis of investor sentiment and stock returns," Research in International Business and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.ribaf.2022.101707.
  6. Ying-Ying Shen & Zhi-Qiang Jiang & Jun-Chao Ma & Gang-Jin Wang & Wei-Xing Zhou, 2022, "Sector connectedness in the Chinese stock markets," Empirical Economics, Springer, volume 62, issue 2, pages 825-852, February, DOI: 10.1007/s00181-021-02036-0.
  7. Sun, Ya-Fang & Zhang, Yue-Jun & Su, Bin, 2022, "How does global transport sector improve the emissions reduction performance? A demand-side analysis," Applied Energy, Elsevier, volume 311, issue C, DOI: 10.1016/j.apenergy.2022.118648.
  8. Wang, Wei & Zhang, Yue-Jun, 2022, "Does China's carbon emissions trading scheme affect the market power of high-carbon enterprises?," Energy Economics, Elsevier, volume 108, issue C, DOI: 10.1016/j.eneco.2022.105906.
  9. Xing, Li-Min & Zhang, Yue-Jun, 2022, "Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?," Energy Economics, Elsevier, volume 110, issue C, DOI: 10.1016/j.eneco.2022.106014.
  10. Sun, Ya-Fang & Zhang, Yue-Jun & Su, Bin, 2022, "Impact of government subsidy on the optimal R&D and advertising investment in the cooperative supply chain of new energy vehicles," Energy Policy, Elsevier, volume 164, issue C, DOI: 10.1016/j.enpol.2022.112885.
  11. Zhang, Yuan-Yuan & Zhang, Yue-Jun, 2022, "The impact of institutional analyst forecast divergence on crude oil market: Evidence from the mixed frequency models," International Review of Financial Analysis, Elsevier, volume 84, issue C, DOI: 10.1016/j.irfa.2022.102418.
  12. Wang, Chao & Zhang, Yue-Jun, 2022, "The effect of environmental regulation and skill premium on the inflow of FDI:Evidence from Chinese industrial sectors," International Review of Economics & Finance, Elsevier, volume 81, issue C, pages 227-242, DOI: 10.1016/j.iref.2022.05.011.
  13. Ai, Hongshan & Wang, Mengyuan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2022, "How does air pollution affect urban innovation capability? Evidence from 281 cities in China," Structural Change and Economic Dynamics, Elsevier, volume 61, issue C, pages 166-178, DOI: 10.1016/j.strueco.2022.02.012.
  14. Liang, Ting & Zhang, Yue-Jun & Qiang, Wei, 2022, "Does technological innovation benefit energy firms’ environmental performance? The moderating effect of government subsidies and media coverage," Technological Forecasting and Social Change, Elsevier, volume 180, issue C, DOI: 10.1016/j.techfore.2022.121728.

2021

  1. Wang, Gang-Jin & Zhu, Chun-Long, 2021, "BP-CVaR: A novel model of estimating CVaR with back propagation algorithm," Economics Letters, Elsevier, volume 209, issue C, DOI: 10.1016/j.econlet.2021.110125.
  2. Wang, Gang-Jin & Si, Hui-Bin & Chen, Yang-Yang & Xie, Chi & Chevallier, Julien, 2021, "Time domain and frequency domain Granger causality networks: Application to China’s financial institutions," Finance Research Letters, Elsevier, volume 39, issue C, DOI: 10.1016/j.frl.2020.101662.
  3. Jiang, Yong & Wang, Gang-Jin & Ma, Chaoqun & Yang, Xiaoguang, 2021, "Do credit conditions matter for the impact of oil price shocks on stock returns? Evidence from a structural threshold VAR model," International Review of Economics & Finance, Elsevier, volume 72, issue C, pages 1-15, DOI: 10.1016/j.iref.2020.10.019.
  4. Wang, Gang-Jin & Chen, Yang-Yang & Si, Hui-Bin & Xie, Chi & Chevallier, Julien, 2021, "Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions," International Review of Economics & Finance, Elsevier, volume 73, issue C, pages 325-347, DOI: 10.1016/j.iref.2021.01.005.
  5. Gang-Jin Wang & Shuyue Yi & Chi Xie & H. Eugene Stanley, 2021, "Multilayer information spillover networks: measuring interconnectedness of financial institutions," Quantitative Finance, Taylor & Francis Journals, volume 21, issue 7, pages 1163-1185, July, DOI: 10.1080/14697688.2020.1831047.
  6. Liu, Jing-Yue & Zhang, Yue-Jun, 2021, "Has carbon emissions trading system promoted non-fossil energy development in China?," Applied Energy, Elsevier, volume 302, issue C, DOI: 10.1016/j.apenergy.2021.117613.
  7. Zhang, Yue-Jun & Bouri, Elie & Gupta, Rangan & Ma, Shu-Jiao, 2021, "Risk spillover between Bitcoin and conventional financial markets: An expectile-based approach," The North American Journal of Economics and Finance, Elsevier, volume 55, issue C, DOI: 10.1016/j.najef.2020.101296.
  8. Zhang, Yue-Jun & Wang, Wei, 2021, "How does China's carbon emissions trading (CET) policy affect the investment of CET-covered enterprises?," Energy Economics, Elsevier, volume 98, issue C, DOI: 10.1016/j.eneco.2021.105224.
  9. Wang, Shixuan & Gupta, Rangan & Zhang, Yue-Jun, 2021, "Bear, Bull, Sidewalk, and Crash: The Evolution of the US Stock Market Using Over a Century of Daily Data," Finance Research Letters, Elsevier, volume 43, issue C, DOI: 10.1016/j.frl.2021.101998.
  10. Zhang, Yue-Jun & Li, Zhao-Chen, 2021, "Forecasting the stock returns of Chinese oil companies: Can investor attention help?," International Review of Economics & Finance, Elsevier, volume 76, issue C, pages 531-555, DOI: 10.1016/j.iref.2021.07.006.
  11. Zhang, Yue-Jun & Cheng, Hao-Sen, 2021, "The impact mechanism of the ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai," Technological Forecasting and Social Change, Elsevier, volume 173, issue C, DOI: 10.1016/j.techfore.2021.121114.
  12. Yue-Jun Zhang & Xu Pan, 2021, "Does the risk aversion of crude oil market investors have directional predictability for the precious metal and agricultural markets?," China Agricultural Economic Review, Emerald Group Publishing Limited, volume 13, issue 4, pages 894-911, April, DOI: 10.1108/CAER-05-2020-0099.
  13. Zhao Liu & Yu He & Yue-Jun Zhang & Chang-Xiong Qin, 2021, "The life cycle environmental rebound effect of battery electric vehicles in China: a provincial level analysis," Applied Economics, Taylor & Francis Journals, volume 53, issue 25, pages 2888-2904, May, DOI: 10.1080/00036846.2020.1870652.
  14. Tian-Tian Zhu & Hua-Rong Peng & Yue-Jun Zhang & Jing-Yue Liu, 2021, "Does higher education development facilitate carbon emissions reduction in China," Applied Economics, Taylor & Francis Journals, volume 53, issue 47, pages 5490-5502, October, DOI: 10.1080/00036846.2021.1923641.
  15. Yue‐Jun Zhang & Shu‐Jiao Ma, 2021, "Exploring the dynamic price discovery, risk transfer and spillover among INE, WTI and Brent crude oil futures markets: Evidence from the high‐frequency data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 26, issue 2, pages 2414-2435, April, DOI: 10.1002/ijfe.1914.

2020

  1. Wen, Tiange & Wang, Gang-Jin, 2020, "Volatility connectedness in global foreign exchange markets," Journal of Multinational Financial Management, Elsevier, volume 54, issue C, DOI: 10.1016/j.mulfin.2020.100617.
  2. Wang, Gang-Jin & Ma, Xin-yu & Wu, Hao-yu, 2020, "Are stablecoins truly diversifiers, hedges, or safe havens against traditional cryptocurrencies as their name suggests?," Research in International Business and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.ribaf.2020.101225.
  3. Yong Jiang & Gang-Jin Wang & Dan-Yan Wen & Xiao-guang Yang, 2020, "Business conditions, uncertainty shocks and Bitcoin returns," Evolutionary and Institutional Economics Review, Springer, volume 17, issue 2, pages 415-424, July, DOI: 10.1007/s40844-020-00172-3.
  4. Yue‐Jun Zhang & Wei Shi & Lin Jiang, 2020, "Does China's carbon emissions trading policy improve the technology innovation of relevant enterprises?," Business Strategy and the Environment, Wiley Blackwell, volume 29, issue 3, pages 872-885, March, DOI: 10.1002/bse.2404.
  5. Zhang, Yue-Jun & Liang, Ting & Jin, Yan-Lin & Shen, Bo, 2020, "The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors," Applied Energy, Elsevier, volume 260, issue C, DOI: 10.1016/j.apenergy.2019.114290.
  6. Liu, Zhao & Zhang, Huan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2020, "How does industrial policy affect the eco-efficiency of industrial sector? Evidence from China," Applied Energy, Elsevier, volume 272, issue C, DOI: 10.1016/j.apenergy.2020.115206.
  7. Zhang, Yue-Jun & Liu, Jing-Yue & Su, Bin, 2020, "Carbon congestion effects in China's industry: Evidence from provincial and sectoral levels," Energy Economics, Elsevier, volume 86, issue C, DOI: 10.1016/j.eneco.2019.104635.
  8. Zhang, Yue-Jun & Jiang, Lin & Shi, Wei, 2020, "Exploring the growth-adjusted energy-emission efficiency of transportation industry in China," Energy Economics, Elsevier, volume 90, issue C, DOI: 10.1016/j.eneco.2020.104873.
  9. Wei, Jin & Ni, Yang & Zhang, Yue-Jun, 2020, "The mitigation strategies for bottom environment of service-oriented public building from a micro-scale perspective: A case study in China," Energy, Elsevier, volume 205, issue C, DOI: 10.1016/j.energy.2020.118103.
  10. Zhang, Yue-Jun & Yan, Xing-Xing, 2020, "The impact of US economic policy uncertainty on WTI crude oil returns in different time and frequency domains," International Review of Economics & Finance, Elsevier, volume 69, issue C, pages 750-768, DOI: 10.1016/j.iref.2020.04.001.
  11. Yue-Jun Zhang & Yan-Lin Jin & Bo Shen, 2020, "Measuring the Energy Saving and CO2 Emissions Reduction Potential Under China’s Belt and Road Initiative," Computational Economics, Springer;Society for Computational Economics, volume 55, issue 4, pages 1095-1116, April, DOI: 10.1007/s10614-018-9839-0.
  12. Chao Wang & Yue‐Jun Zhang, 2020, "Does environmental regulation policy help improve green production performance? Evidence from China's industry," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, volume 27, issue 2, pages 937-951, March, DOI: 10.1002/csr.1857.

2019

  1. Chai, Jian & Du, Mengfan & Liang, Ting & Sun, Xiaojie Christine & Yu, Ji & Zhang, Zhe George, 2019, "Coal consumption in China: How to bend down the curve?," Energy Economics, Elsevier, volume 80, issue C, pages 38-47, DOI: 10.1016/j.eneco.2018.12.016.
  2. Chaoqun Ma & Danyan Wen & Gang‐Jin Wang & Yong Jiang, 2019, "Further Mining the Predictability of Moving Averages: Evidence from the US Stock Market," International Review of Finance, International Review of Finance Ltd., volume 19, issue 2, pages 413-433, June, DOI: 10.1111/irfi.12166.
  3. Wen, Danyan & Wang, Gang-Jin & Ma, Chaoqun & Wang, Yudong, 2019, "Risk spillovers between oil and stock markets: A VAR for VaR analysis," Energy Economics, Elsevier, volume 80, issue C, pages 524-535, DOI: 10.1016/j.eneco.2019.02.005.
  4. Wang, Gang-Jin & Xie, Chi & Wen, Danyan & Zhao, Longfeng, 2019, "When Bitcoin meets economic policy uncertainty (EPU): Measuring risk spillover effect from EPU to Bitcoin," Finance Research Letters, Elsevier, volume 31, issue C, DOI: 10.1016/j.frl.2018.12.028.
  5. Zhu, You & Zhou, Li & Xie, Chi & Wang, Gang-Jin & Nguyen, Truong V., 2019, "Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach," International Journal of Production Economics, Elsevier, volume 211, issue C, pages 22-33, DOI: 10.1016/j.ijpe.2019.01.032.
  6. Zhang, Yue-Jun & Wang, Jin-Li, 2019, "Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models," Energy Economics, Elsevier, volume 78, issue C, pages 192-201, DOI: 10.1016/j.eneco.2018.11.015.
  7. Zhang, Yue-Jun & Ma, Shu-Jiao, 2019, "How to effectively estimate the time-varying risk spillover between crude oil and stock markets? Evidence from the expectile perspective," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104562.
  8. Zhang, Yue-Jun & Lin, Jia-Juan, 2019, "Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?," International Review of Financial Analysis, Elsevier, volume 66, issue C, DOI: 10.1016/j.irfa.2019.101395.
  9. Zhang, Yue-Jun & Yao, Ting & He, Ling-Yun & Ripple, Ronald, 2019, "Volatility forecasting of crude oil market: Can the regime switching GARCH model beat the single-regime GARCH models?," International Review of Economics & Finance, Elsevier, volume 59, issue C, pages 302-317, DOI: 10.1016/j.iref.2018.09.006.
  10. Zhang, Yue-Jun & Wu, Yao-Bin, 2019, "The time-varying spillover effect between WTI crude oil futures returns and hedge funds," International Review of Economics & Finance, Elsevier, volume 61, issue C, pages 156-169, DOI: 10.1016/j.iref.2019.02.006.
  11. Yue-Jun Zhang & Jing-Yue Liu, 2019, "Does carbon emissions trading affect the financial performance of high energy-consuming firms in China?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, volume 95, issue 1, pages 91-111, January, DOI: 10.1007/s11069-018-3434-5.
  12. Yue-Jun Zhang & Shu-Hui Li, 2019, "The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach," Quantitative Finance, Taylor & Francis Journals, volume 19, issue 8, pages 1357-1371, August, DOI: 10.1080/14697688.2019.1581368.
  13. Lu‐Tao Zhao & Ya Meng & Yue‐Jun Zhang & Yun‐Tao Li, 2019, "The optimal hedge strategy of crude oil spot and futures markets: Evidence from a novel method," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 24, issue 1, pages 186-203, January, DOI: 10.1002/ijfe.1656.
  14. Fenghua Wen & Feng Min & Yue‐Jun Zhang & Can Yang, 2019, "Crude oil price shocks, monetary policy, and China's economy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 24, issue 2, pages 812-827, April, DOI: 10.1002/ijfe.1692.

2018

  1. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018, "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, volume 71, issue C, pages 159-173, DOI: 10.1016/j.econmod.2017.12.009.
  2. Wang, Gang-Jin & Jiang, Zhi-Qiang & Lin, Min & Xie, Chi & Stanley, H. Eugene, 2018, "Interconnectedness and systemic risk of China's financial institutions," Emerging Markets Review, Elsevier, volume 35, issue C, pages 1-18, DOI: 10.1016/j.ememar.2017.12.001.
  3. Yi, Shuyue & Xu, Zishuang & Wang, Gang-Jin, 2018, "Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?," International Review of Financial Analysis, Elsevier, volume 60, issue C, pages 98-114, DOI: 10.1016/j.irfa.2018.08.012.
  4. Wang, Gang-Jin & Xie, Chi & Zhao, Longfeng & Jiang, Zhi-Qiang, 2018, "Volatility connectedness in the Chinese banking system: Do state-owned commercial banks contribute more?," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 57, issue C, pages 205-230, DOI: 10.1016/j.intfin.2018.07.008.
  5. Lin, Min & Wang, Gang-Jin & Xie, Chi & Stanley, H. Eugene, 2018, "Cross-correlations and influence in world gold markets," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 490, issue C, pages 504-512, DOI: 10.1016/j.physa.2017.08.045.
  6. Wan, Yu-Lei & Wang, Gang-Jin & Jiang, Zhi-Qiang & Xie, Wen-Jie & Zhou, Wei-Xing, 2018, "The cooling-off effect of price limits in the Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 505, issue C, pages 153-163, DOI: 10.1016/j.physa.2018.03.066.
  7. Wen, Danyan & Ma, Chaoqun & Wang, Gang-Jin & Wang, Senzhang, 2018, "Investigating the features of pairs trading strategy: A network perspective on the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 505, issue C, pages 903-918, DOI: 10.1016/j.physa.2018.04.021.
  8. Zhao, Longfeng & Wang, Gang-Jin & Wang, Mingang & Bao, Weiqi & Li, Wei & Stanley, H. Eugene, 2018, "Stock market as temporal network," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 506, issue C, pages 1104-1112, DOI: 10.1016/j.physa.2018.05.039.
  9. Gang-Jin Wang & Chi Xie & H. Eugene Stanley, 2018, "Correlation Structure and Evolution of World Stock Markets: Evidence from Pearson and Partial Correlation-Based Networks," Computational Economics, Springer;Society for Computational Economics, volume 51, issue 3, pages 607-635, March, DOI: 10.1007/s10614-016-9627-7.
  10. Zhi-Qiang Jiang & Gang-Jin Wang & Askery Canabarro & Boris Podobnik & Chi Xie & H. Eugene Stanley & Wei-Xing Zhou, 2018, "Short term prediction of extreme returns based on the recurrence interval analysis," Quantitative Finance, Taylor & Francis Journals, volume 18, issue 3, pages 353-370, March, DOI: 10.1080/14697688.2017.1373843.
  11. Zhang, Yue-Jun & Chen, Ming-Ying, 2018, "Evaluating the dynamic performance of energy portfolios: Empirical evidence from the DEA directional distance function," European Journal of Operational Research, Elsevier, volume 269, issue 1, pages 64-78, DOI: 10.1016/j.ejor.2017.08.008.
  12. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018, "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, volume 115, issue C, pages 119-130, DOI: 10.1016/j.enpol.2017.12.056.
  13. Yue-Jun Zhang & Yao-Bin Wu, 2018, "The dynamic information spill-over effect of WTI crude oil prices on China’s traditional energy sectors," China Agricultural Economic Review, Emerald Group Publishing Limited, volume 10, issue 3, pages 516-534, July, DOI: 10.1108/CAER-05-2017-0094.
  14. Feng Dong & Jingyun Li & Yue-Jun Zhang & Ying Wang, 2018, "Drivers Analysis of CO 2 Emissions from the Perspective of Carbon Density: The Case of Shandong Province, China," IJERPH, MDPI, volume 15, issue 8, pages 1-24, August.
  15. Yue-Jun Zhang & Xiao-Juan Bian & Weiping Tan, 2018, "The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the hypothetical extraction method," Empirical Economics, Springer, volume 54, issue 4, pages 1743-1775, June, DOI: 10.1007/s00181-017-1272-z.
  16. Tian-Tian Zhu & Yue-Jun Zhang & Ke Wang, 2018, "The allocation of PhD enrolment quotas in China’s research-oriented universities based on equity and efficiency principles," Applied Economics, Taylor & Francis Journals, volume 50, issue 37, pages 3992-4004, August, DOI: 10.1080/00036846.2018.1438585.
  17. Yue‐Jun Zhang & Jin‐Liang Zhang, 2018, "Volatility forecasting of crude oil market: A new hybrid method," Journal of Forecasting, John Wiley & Sons, Ltd., volume 37, issue 8, pages 781-789, December, DOI: 10.1002/for.2502.

2017

  1. Wang, Gang-Jin & Xie, Chi & Lin, Min & Stanley, H. Eugene, 2017, "Stock market contagion during the global financial crisis: A multiscale approach," Finance Research Letters, Elsevier, volume 22, issue C, pages 163-168, DOI: 10.1016/j.frl.2016.12.025.
  2. Gang-Jin Wang & Chi Xie & Shou Chen, 2017, "Multiscale correlation networks analysis of the US stock market: a wavelet analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 12, issue 3, pages 561-594, October, DOI: 10.1007/s11403-016-0176-x.
  3. Gang-Jin Wang & Chi Xie & Kaijian He & H. Eugene Stanley, 2017, "Extreme risk spillover network: application to financial institutions," Quantitative Finance, Taylor & Francis Journals, volume 17, issue 9, pages 1417-1433, September, DOI: 10.1080/14697688.2016.1272762.
  4. Zhang, Yue-Jun & Peng, Hua-Rong, 2017, "Exploring the direct rebound effect of residential electricity consumption: An empirical study in China," Applied Energy, Elsevier, volume 196, issue C, pages 132-141, DOI: 10.1016/j.apenergy.2016.12.087.
  5. Yao, Ting & Zhang, Yue-Jun & Ma, Chao-Qun, 2017, "How does investor attention affect international crude oil prices?," Applied Energy, Elsevier, volume 205, issue C, pages 336-344, DOI: 10.1016/j.apenergy.2017.07.131.
  6. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017, "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, volume 61, issue C, pages 199-208, DOI: 10.1016/j.eneco.2016.11.011.
  7. Zhang, Yue-Jun & Chevallier, Julien & Guesmi, Khaled, 2017, "“De-financialization” of commodities? Evidence from stock, crude oil and natural gas markets," Energy Economics, Elsevier, volume 68, issue C, pages 228-239, DOI: 10.1016/j.eneco.2017.09.024.
  8. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017, "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, volume 100, issue C, pages 149-161, DOI: 10.1016/j.enpol.2016.10.010.
  9. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017, "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, volume 100, issue C, pages 18-28, DOI: 10.1016/j.enpol.2016.10.005.
  10. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017, "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, volume 75, issue C, pages 220-233, DOI: 10.1016/j.rser.2016.10.066.
  11. Yue-Jun Zhang & Jun-Fang Hao, 2017, "Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles," Annals of Operations Research, Springer, volume 255, issue 1, pages 117-140, August, DOI: 10.1007/s10479-016-2232-2.
  12. Tian-Tian Zhu & Yue-Jun Zhang, 2017, "An investigation of disaster education in elementary and secondary schools: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, volume 89, issue 3, pages 1009-1029, December, DOI: 10.1007/s11069-017-3004-2.

2016

  1. Wang, Gang-Jin & Xie, Chi & Jiang, Zhi-Qiang & Eugene Stanley, H., 2016, "Who are the net senders and recipients of volatility spillovers in China’s financial markets?," Finance Research Letters, Elsevier, volume 18, issue C, pages 255-262, DOI: 10.1016/j.frl.2016.04.025.
  2. Wang, Gang-Jin & Xie, Chi & Jiang, Zhi-Qiang & Stanley, H. Eugene, 2016, "Extreme risk spillover effects in world gold markets and the global financial crisis," International Review of Economics & Finance, Elsevier, volume 46, issue C, pages 55-77, DOI: 10.1016/j.iref.2016.08.004.
  3. You Zhu & Chi Xie & Bo Sun & Gang-Jin Wang & Xin-Guo Yan, 2016, "Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models," Sustainability, MDPI, volume 8, issue 5, pages 1-17, May.
  4. Chi Xie & Yang Liu & Gang-Jin Wang & Yan Xu, 2016, "The Stability of Interbank Market Network: A Perspective on Contagion and Risk Sharing," Advances in Mathematical Physics, Hindawi, volume 2016, pages 1-8, February, DOI: 10.1155/2016/1297832.
  5. Yang, Tian-Jian & Zhang, Yue-Jun & Tang, Su & Zhang, Jing, 2016, "How to assess and manage energy performance of numerous telecommunication base stations: Evidence in China," Applied Energy, Elsevier, volume 164, issue C, pages 436-445, DOI: 10.1016/j.apenergy.2015.11.069.
  6. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016, "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, volume 174, issue C, pages 213-223, DOI: 10.1016/j.apenergy.2016.04.109.
  7. Zhang, Yue-Jun & Yao, Ting, 2016, "Interpreting the movement of oil prices: Driven by fundamentals or bubbles?," Economic Modelling, Elsevier, volume 55, issue C, pages 226-240, DOI: 10.1016/j.econmod.2016.02.016.
  8. Zhang, Yue-Jun & Jin, Yan-Lin & Chevallier, Julien & Shen, Bo, 2016, "The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis," Technological Forecasting and Social Change, Elsevier, volume 112, issue C, pages 220-227, DOI: 10.1016/j.techfore.2016.05.027.
  9. Yue-Jun Zhang, 2016, "Research on carbon emission trading mechanisms: current status and future possibilities," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, volume 39, issue 1/2, pages 89-107.

2015

  1. Zhao Liu & Ling Li & Yue-Jun Zhang, 2015, "Investigating the CO 2 emission differences among China’s transport sectors and their influencing factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, volume 77, issue 2, pages 1323-1343, June, DOI: 10.1007/s11069-015-1657-2.
  2. Wang, Gang-Jin & Xie, Chi, 2015, "Correlation structure and dynamics of international real estate securities markets: A network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 424, issue C, pages 176-193, DOI: 10.1016/j.physa.2015.01.025.
  3. Chi Xie & Zhou Mao & Gang-Jin Wang, 2015, "Forecasting RMB Exchange Rate Based on a Nonlinear Combination Model of ARFIMA, SVM, and BPNN," Mathematical Problems in Engineering, Hindawi, volume 2015, pages 1-10, July, DOI: 10.1155/2015/635345.
  4. Zhang, Yue-Jun & Zhang, Lu, 2015, "Interpreting the crude oil price movements: Evidence from the Markov regime switching model," Applied Energy, Elsevier, volume 143, issue C, pages 96-109, DOI: 10.1016/j.apenergy.2015.01.005.
  5. Zhang, Jin-Liang & Zhang, Yue-Jun & Zhang, Lu, 2015, "A novel hybrid method for crude oil price forecasting," Energy Economics, Elsevier, volume 49, issue C, pages 649-659, DOI: 10.1016/j.eneco.2015.02.018.
  6. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015, "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, volume 86, issue C, pages 176-185, DOI: 10.1016/j.enpol.2015.07.004.
  7. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015, "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, volume 87, issue C, pages 303-313, DOI: 10.1016/j.enpol.2015.09.022.
  8. Zhang, Yue-Jun & Wang, Jing, 2015, "Exploring the WTI crude oil price bubble process using the Markov regime switching model," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 421, issue C, pages 377-387, DOI: 10.1016/j.physa.2014.11.051.
  9. Zhang, Yue-Jun & Da, Ya-Bin, 2015, "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, volume 41, issue C, pages 1255-1266, DOI: 10.1016/j.rser.2014.09.021.
  10. Yue-Jun Zhang & Ting Yao & Zi-Yi Wang, 2015, "The bubble process of international crude oil futures prices: empirical evidence from the STAR model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, volume 38, issue 1/2/3, pages 109-125.
  11. Lan-Cui Liu & Gang Wu & Yue-Jun Zhang, 2015, "Investigating the residential energy consumption behaviors in Beijing: a survey study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, volume 75, issue 1, pages 243-263, January, DOI: 10.1007/s11069-014-1317-y.
  12. Yue-Jun Zhang & Jun-Fang Hao, 2015, "The allocation of carbon emission intensity reduction target by 2020 among provinces in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, volume 79, issue 2, pages 921-937, November, DOI: 10.1007/s11069-015-1883-7.

2014

  1. Yue-Jun Zhang & Zhao Liu & Huan Zhang & Tai-De Tan, 2014, "The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, volume 73, issue 2, pages 579-595, September, DOI: 10.1007/s11069-014-1091-x.
  2. Wang, Gang-Jin & Xie, Chi & He, Ling-Yun & Chen, Shou, 2014, "Detrended minimum-variance hedge ratio: A new method for hedge ratio at different time scales," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 405, issue C, pages 70-79, DOI: 10.1016/j.physa.2014.03.010.
  3. Gang-Jin Wang & Chi Xie & Peng Zhang & Feng Han & Shou Chen, 2014, "Dynamics of Foreign Exchange Networks: A Time-Varying Copula Approach," Discrete Dynamics in Nature and Society, Hindawi, volume 2014, pages 1-11, May, DOI: 10.1155/2014/170921.
  4. Chi Xie & Jiao-Jiao Yang & Gang-Jin Wang, 2014, "A New Method for Setting Futures Portfolios’ Maintenance Margins: Evidence from Chinese Commodity Futures Markets," Journal of Applied Mathematics, Hindawi, volume 2014, pages 1-11, March, DOI: 10.1155/2014/325975.
  5. Gang-Jin Wang & Chi Xie & Shou Chen & Feng Han, 2014, "Cross-Correlations between Energy and Emissions Markets: New Evidence from Fractal and Multifractal Analysis," Mathematical Problems in Engineering, Hindawi, volume 2014, pages 1-13, January, DOI: 10.1155/2014/197069.
  6. Wu, Gang & Zhang, Yue-Jun, 2014, "Does China factor matter? An econometric analysis of international crude oil prices," Energy Policy, Elsevier, volume 72, issue C, pages 78-86, DOI: 10.1016/j.enpol.2014.04.026.
  7. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014, "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, volume 74, issue C, pages 454-464, DOI: 10.1016/j.enpol.2014.08.006.

2013

  1. Wang, Gang-Jin & Xie, Chi & Chen, Shou & Yang, Jiao-Jiao & Yang, Ming-Yan, 2013, "Random matrix theory analysis of cross-correlations in the US stock market: Evidence from Pearson’s correlation coefficient and detrended cross-correlation coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 392, issue 17, pages 3715-3730, DOI: 10.1016/j.physa.2013.04.027.
  2. Wang, Gang-Jin & Xie, Chi, 2013, "Cross-correlations between Renminbi and four major currencies in the Renminbi currency basket," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 392, issue 6, pages 1418-1428, DOI: 10.1016/j.physa.2012.11.035.
  3. Zhang, Yue-Jun & Wang, Zi-Yi, 2013, "Investigating the price discovery and risk transfer functions in the crude oil and gasoline futures markets: Some empirical evidence," Applied Energy, Elsevier, volume 104, issue C, pages 220-228, DOI: 10.1016/j.apenergy.2012.10.066.
  4. Zhang, Yue-Jun, 2013, "Speculative trading and WTI crude oil futures price movement: An empirical analysis," Applied Energy, Elsevier, volume 107, issue C, pages 394-402, DOI: 10.1016/j.apenergy.2013.02.060.
  5. Yang, Tian-Jian & Zhang, Yue-Jun & Huang, Jin & Peng, Ruo-Hong, 2013, "Estimating the energy saving potential of telecom operators in China," Energy Policy, Elsevier, volume 61, issue C, pages 448-459, DOI: 10.1016/j.enpol.2013.06.025.
  6. Yue-Jun Zhang & Ya-Bin Da, 2013, "Decomposing the changes of energy-related carbon emissions in China: evidence from the PDA approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, volume 69, issue 1, pages 1109-1122, October, DOI: 10.1007/s11069-013-0752-5.
  7. Hao Yu & Bing Wang & Yue-Jun Zhang & Shouyang Wang & Yi-Ming Wei, 2013, "Public perception of climate change in China: results from the questionnaire survey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, volume 69, issue 1, pages 459-472, October, DOI: 10.1007/s11069-013-0711-1.

2012

  1. Wang, Gang-Jin & Xie, Chi & Han, Feng & Sun, Bo, 2012, "Similarity measure and topology evolution of foreign exchange markets using dynamic time warping method: Evidence from minimal spanning tree," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 391, issue 16, pages 4136-4146, DOI: 10.1016/j.physa.2012.03.036.
  2. Yue-Jun Zhang & Hao-Ran Chang, 2012, "The impact of acid rain on China’s socioeconomic vulnerability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, volume 64, issue 2, pages 1671-1683, November, DOI: 10.1007/s11069-012-0319-x.

2011

  1. Zhang, Yue-Jun, 2011, "The impact of financial development on carbon emissions: An empirical analysis in China," Energy Policy, Elsevier, volume 39, issue 4, pages 2197-2203, April.
  2. Zhang, Yue-Jun, 2011, "Interpreting the dynamic nexus between energy consumption and economic growth: Empirical evidence from Russia," Energy Policy, Elsevier, volume 39, issue 5, pages 2265-2272, May.
  3. Zhi-Fu Mi & Yue-Jun Zhang, 2011, "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, volume 35, issue 2/3/4, pages 145-157.
  4. Yue-Jun Zhang & Yi-Ming Wei, 2011, "The dynamic influence of advanced stock market risk on international crude oil returns: an empirical analysis," Quantitative Finance, Taylor & Francis Journals, volume 11, issue 7, pages 967-978, DOI: 10.1080/14697688.2010.538712.

2010

  1. Zhang, Yue-Jun & Wei, Yi-Ming, 2010, "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," Applied Energy, Elsevier, volume 87, issue 6, pages 1804-1814, June.
  2. Zhang, Yue-Jun & Wei, Yi-Ming, 2010, "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," Resources Policy, Elsevier, volume 35, issue 3, pages 168-177, September.

2009

  1. Yikai Yu & Yuejun Zhang, 2009, "Review of Study on Resin Dye-Fixatives on Cotton Fabrics," Modern Applied Science, Canadian Center of Science and Education, volume 3, issue 10, pages 1-9, October.

2008

  1. Fan, Ying & Zhang, Yue-Jun & Tsai, Hsien-Tang & Wei, Yi-Ming, 2008, "Estimating 'Value at Risk' of crude oil price and its spillover effect using the GED-GARCH approach," Energy Economics, Elsevier, volume 30, issue 6, pages 3156-3171, November.
  2. Zhang, Yue-Jun & Fan, Ying & Tsai, Hsien-Tang & Wei, Yi-Ming, 2008, "Spillover effect of US dollar exchange rate on oil prices," Journal of Policy Modeling, Elsevier, volume 30, issue 6, pages 973-991.

Chapters

2024

  1. Anupam Dutta & Mohammad Rakib Uddin Bhuiyan & Gang-Jin Wang & Gazi Salah Uddin & Ali Ahmed, 2024, "Carbon Pricing and CCUS: Evidence from China," World Scientific Book Chapters, World Scientific Publishing Co. Pte. Ltd., chapter 8, in: Phoumin Han & Rabindra Nepal, "ENERGY TRANSITION AND CARBON NEUTRALITY IN ASEAN DEVELOPING CARBON CAPTURE, UTILIZATION AND STORAGE TECHNOLOGIES".

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