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Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆

Citations

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Cited by:

  1. Victor Moutinho & José Vale & Rui Bertuzi & Ana Maria Bandeira & José Palhares, 2021. "A Two-Stage DEA Model to Evaluate the Performance of Iberian Banks," Economies, MDPI, vol. 9(3), pages 1-22, August.
  2. Yuanzhong Li & Xinbang Cao & Shaojian Qu & Ying Ji & Zilong Xia, 2022. "Cost Sharing in Insurance Communities: A Hybrid Approach Based on Multiple-Choice Objective Programming and Cooperative Games," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
  3. Jéfferson Colombo & Peter Wanke & Jorge Antunes & Abul Kalam Azad, 2022. "Unveiling endogeneity between competition and efficiency in European banks: a robust econometric-neural network approach," SN Business & Economics, Springer, vol. 2(3), pages 1-46, March.
  4. Xuefang Liu & W. Robert J. Alexander & Sajid Anwar, 2018. "Bank Runs in China: Evidence from a Dynamic Panel Model," Arthaniti: Journal of Economic Theory and Practice, , vol. 17(1), pages 15-30, June.
  5. Hashem Omrani & Arash Alizadeh & Ali Emrouznejad & Zeynab Oveysi, 2023. "A novel best‐worst‐method two‐stage data envelopment analysis model considering decision makers' preferences: An application in bank branches evaluation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3593-3610, October.
  6. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.
  7. Beladi, Hamid & Chao, Chi Chur & Hu, May, 2018. "Does tax avoidance behavior affect bank loan contracts for Chinese listed firms?," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 104-116.
  8. Wanke, Peter & Tsionas, Mike G. & Chen, Zhongfei & Moreira Antunes, Jorge Junio, 2020. "Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 456-468.
  9. Chen, Xiang & Wang, Yujia & Wu, Xin, 2022. "Exploring the source of the financial performance in Chinese banks: A risk-adjusted decomposition approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
  10. Partovi, Elmira & Matousek, Roman, 2019. "Bank efficiency and non-performing loans: Evidence from Turkey," Research in International Business and Finance, Elsevier, vol. 48(C), pages 287-309.
  11. Zhen Shi & Shijiong Qin & Yung-ho Chiu & Xiaoying Tan & Xiaoli Miao, 2021. "The impact of gross domestic product on the financing and investment efficiency of China’s commercial banks," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-23, December.
  12. Cândida Ferreira, 2020. "Evaluating European Bank Efficiency Using Data Envelopment Analysis: Evidence in the Aftermath of the Recent Financial Crisis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(4), pages 391-405, November.
  13. Alcaraz, Javier & Anton-Sanchez, Laura & Aparicio, Juan & Monge, Juan F. & Ramón, Nuria, 2021. "Russell Graph efficiency measures in Data Envelopment Analysis: The multiplicative approach," European Journal of Operational Research, Elsevier, vol. 292(2), pages 663-674.
  14. Jian Xue & Di Zhu & Laijun Zhao & Chenchen Wang & Hongyang Li, 2019. "Redundancy Identification and Optimization Scheme of Branches for Sustainable Operation of Commercial Banks," Sustainability, MDPI, vol. 11(15), pages 1-19, July.
  15. Jianxu Liu & Mengjiao Wang & Ji Ma & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "A Simultaneous Stochastic Frontier Model with Dependent Error Components and Dependent Composite Errors: An Application to Chinese Banking Industry," Mathematics, MDPI, vol. 8(2), pages 1-23, February.
  16. Özlem O. Akdeniz & Hussein A. Abdou & Ali I. Hayek & Jacinta C. Nwachukwu & Ahmed A. Elamer & Chris Pyke, 2024. "Technical efficiency in banks: a review of methods, recent innovations and future research agenda," Review of Managerial Science, Springer, vol. 18(11), pages 3395-3456, November.
  17. Alves, André Bernardo & Wanke, Peter & Antunes, Jorge & Chen, Zhongfei, 2020. "Endogenous network efficiency, macroeconomy, and competition: Evidence from the Portuguese banking industry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
  18. Süleyman Çakır, 2024. "Best output prediction in OECD railways using DEA in conjunction with machine learning algorithms," Annals of Operations Research, Springer, vol. 335(1), pages 59-77, April.
  19. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2024. "The impacts of innovation and trade openness on bank market power: The proposal of a minimum distance cost function approach and a causal structure analysis," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1178-1194.
  20. Li Jia & Wang Ping & Tao Xiangyang & Wen Yao, 2021. "Productivity Analysis for Banks’ Merger and Acquisition Using Two-Stage DEA: Evidence from China," Journal of Systems Science and Information, De Gruyter, vol. 9(6), pages 627-659, December.
  21. Sabri Boubaker & Duc Trung Do & Helmi Hammami & Kim Cuong Ly, 2022. "The role of bank affiliation in bank efficiency: a fuzzy multi-objective data envelopment analysis approach," Annals of Operations Research, Springer, vol. 311(2), pages 611-639, April.
  22. Naderi Semiromi, Hamed & Lessmann, Stefan & Peters, Wiebke, 2020. "News will tell: Forecasting foreign exchange rates based on news story events in the economy calendar," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
  23. Desalegn, Tigist Abebe & Zhu, Hongquan, 2021. "Does economic policy uncertainty affect bank earnings opacity? Evidence from China," Journal of Policy Modeling, Elsevier, vol. 43(5), pages 1000-1015.
  24. Valero-Carreras, Daniel & Aparicio, Juan & Guerrero, Nadia M., 2021. "Support vector frontiers: A new approach for estimating production functions through support vector machines," Omega, Elsevier, vol. 104(C).
  25. Zhu, Jun & Xu, Haokun & Zhang, Yue, 2022. "Local government debt and firm productivity: Evidence from China," Research in International Business and Finance, Elsevier, vol. 63(C).
  26. Shaojian Qu & Can Feng & Shan Jiang & Jinpeng Wei & Yuting Xu, 2022. "Data-Driven Robust DEA Models for Measuring Operational Efficiency of Endowment Insurance System of Different Provinces in China," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
  27. Huichen Jiang & Yifan He, 2018. "Applying Data Envelopment Analysis in Measuring the Efficiency of Chinese Listed Banks in the Context of Macroprudential Framework," Mathematics, MDPI, vol. 6(10), pages 1-18, September.
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