Big Data techniques to measure credit banking risk in home equity loans
Citations
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Cited by:
- Wenshuai Wu, 2022. "Credit Risk Measurement, Decision Analysis, Transformation and Upgrading for Financial Big Data," Complexity, John Wiley & Sons, vol. 2022(1).
- Juan-Pedro Cabrera-Sánchez & Iviane Ramos-de-Luna & Elena Carvajal-Trujillo & Ángel F. Villarejo-Ramos, 2020. "Online Recommendation Systems: Factors Influencing Use in E-Commerce," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
- Shamim, Saqib & Zeng, Jing & Shafi Choksy, Umair & Shariq, Syed Muhammad, 2020. "Connecting big data management capabilities with employee ambidexterity in Chinese multinational enterprises through the mediation of big data value creation at the employee level," International Business Review, Elsevier, vol. 29(6).
- Haitham Nobanee & Mehroz Nida Dilshad & Mona Al Dhanhani & Maitha Al Neyadi & Sultan Al Qubaisi & Saeed Al Shamsi, 2021. "Big Data Applications the Banking Sector: A Bibliometric Analysis Approach," SAGE Open, , vol. 11(4), pages 21582440211, December.
- Kun Wang & Bozhou Li & Lu Qiao & Zhiyi Xia, 2026. "Fintech and Dividend Payouts: Evidence From China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 2964-2979, April.
- Huiyu Cui & Lifang Zhang & Hufang Yang & Jianzhou Wang & Zhenkun Liu, 2025. "Maximizing the lender’s profit: profit-oriented loan default prediction based on a weighting model," Annals of Operations Research, Springer, vol. 353(2), pages 727-760, October.
- Ni, Qing & Zhang, Li & Wu, Chengsong, 2023. "Fintech and commercial bank risks–The moderating effect of financial regulation," Finance Research Letters, Elsevier, vol. 58(PC).
- Dinh, Van & Le, Dao-Van & Duong, Duy & Pham, Dung, 2023. "Determinants affecting digital financial consumer protection: Evidence from 135 countries," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
- Zhao, Yang & Goodell, John W. & Wang, Yong & Abedin, Mohammad Zoynul, 2023. "Fintech, macroprudential policies and bank risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 87(C).
- Laura Grassi & Nicolas Figini & Lorenzo Fedeli, 2022. "How does a data strategy enable customer value? The case of FinTechs and traditional banks under the open finance framework," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-34, December.
- Wang, Xiaoying & Sadiq, Ramla & Khan, Tahseen Mohsan & Wang, Rong, 2021. "Industry 4.0 and intellectual capital in the age of FinTech," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
- Zhang, Chaobo & Xue, Xue & Zhao, Yang & Zhang, Xuejun & Li, Tingting, 2019. "An improved association rule mining-based method for revealing operational problems of building heating, ventilation and air conditioning (HVAC) systems," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
- Zhao, Jinsong & Li, Xinghao & Yu, Chin-Hsien & Chen, Shi & Lee, Chi-Chuan, 2022. "Riding the FinTech innovation wave: FinTech, patents and bank performance," Journal of International Money and Finance, Elsevier, vol. 122(C).
- Agustin Pérez-Martín & Agustin Pérez-Torregrosa & Alejandro Rabasa & Marta Vaca, 2020. "Feature Selection to Optimize Credit Banking Risk Evaluation Decisions for the Example of Home Equity Loans," Mathematics, MDPI, vol. 8(11), pages 1-16, November.
- Karavitis, Panagiotis & Kazakis, Pantelis, 2022.
"Political sentiment and syndicated loan borrowing costs of multinational enterprises,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
- Panagiotis Karavitis & Pantelis Kazakis, 2020. "Political Sentiment and Syndicated Loan Borrowing Costs of Multinational Enterprises," Working Papers 2020_29, Business School - Economics, University of Glasgow.
- Morshadul Hasan & Ariful Hoque & Thi Le, 2023. "Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives," FinTech, MDPI, vol. 2(3), pages 1-26, July.
- Graham, Byron & Bonner, Karen, 2022. "One size fits all? Using machine learning to study heterogeneity and dominance in the determinants of early-stage entrepreneurship," Journal of Business Research, Elsevier, vol. 152(C), pages 42-59.
- Tsai, Chih-Fong & Sue, Kuen-Liang & Hu, Ya-Han & Chiu, Andy, 2021. "Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction," Journal of Business Research, Elsevier, vol. 130(C), pages 200-209.
- Chen, Wen & Li, Guangzi & Liu, Jianxiong, 2025. "The impact of interest rate liberalization on loan pricing efficiency: Theory and evidence," International Review of Financial Analysis, Elsevier, vol. 103(C).
- Manyi Luo & Shihu Zhong & Jie Chen, 2024. "The sweet burden: Does homeownership improve the economic status of households?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
- Natalia Nehrebecka, 2019. "Credit risk measurement: Evidence of concentration risk in Polish banks’ credit exposures," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(2), pages 681-712.
- Tian, Geran & Wu, Weixing, 2023. "Big data pricing in marketplace lending and price discrimination against repeat borrowers: Evidence from China," China Economic Review, Elsevier, vol. 78(C).
- Lei Xu & Qian Liu & Bin Li & Chen Ma, 2022. "Fintech business and firm access to bank loans," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(4), pages 4381-4421, December.
- Karavitis, Panagiotis & Kokas, Sotirios & Tsoukas, Serafeim, 2021.
"Gender board diversity and the cost of bank loans,"
Journal of Corporate Finance, Elsevier, vol. 71(C).
- Panagiotis Karavitis & Sotirios Kokas & Serafeim Tsoukas, 2020. "Gender board diversity and the cost of bank loans," Working Papers 2020_25, Business School - Economics, University of Glasgow.
- Huidong Sun & Mustafa Raza Rabbani & Muhammad Safdar Sial & Siming Yu & José António Filipe & Jacob Cherian, 2020. "Identifying Big Data’s Opportunities, Challenges, and Implications in Finance," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
- Ailian Zhang & Shuyao Wang & Bai Liu & Pei Liu, 2022. "How fintech impacts pre‐ and post‐loan risk in Chinese commercial banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2514-2529, April.
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