Thi Thanh Xuan Pham

Personal Details

First Name:	Thi Thanh Xuan
Middle Name:
Last Name:	Pham
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RePEc Short-ID:	pph176
	[This author has chosen not to make the email address public]

Affiliation

University of Economics and Law
Vietnam National University

Ho Chi Minh City, Viet Nam
https://uel.edu.vn/
RePEc:edi:uelvnvn (more details at EDIRC)

Citations

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Articles

1. Xuan T. T. Pham & Thu B. Luu, 2024. "Effect of FinCredit on income inequality: the moderating role of financial inclusion," Review of Quantitative Finance and Accounting, Springer, vol. 62(3), pages 953-969, April.

   Cited by:

   1. Daud, Siti Nurazira Mohd & Ahmad, Abd Halim & Trinugroho, Irwan & Rusgianto, Sulistya & Ridhwan, Masagus M., 2025. "FinTech and unemployment: New evidence on the role of labor market regulation," Research in International Business and Finance, Elsevier, vol. 79(C).
   2. Jeniffer Rubio & Micaela León, 2025. "Financial Inclusion as a Pathway to Poverty Alleviation and Equality in Latin America: An Empirical Analysis," JRFM, MDPI, vol. 18(7), pages 1-22, July.

2. Pham, Xuan T.T. & Ho, Tin H., 2021. "Using boosting algorithms to predict bank failure: An untold story," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 40-54.

   Cited by:

   1. Hu, Wendi & Shao, Chujian & Zhang, Wenyu, 2025. "Predicting U.S. bank failures and stress testing with machine learning algorithms," Finance Research Letters, Elsevier, vol. 75(C).
   2. Belma Ozturkkal & Ranik Raaen Wahlstrøm, 2025. "Explaining Mortgage Defaults Using SHAP and LASSO," Computational Economics, Springer;Society for Computational Economics, vol. 66(4), pages 3291-3325, October.
   3. Zhiyong Li & Chen Feng & Ying Tang, 2022. "Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis," Annals of Operations Research, Springer, vol. 315(1), pages 279-315, August.
   4. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
   5. Hamed Mirashk & Amir Albadvi & Mehrdad Kargari & Mohammad Ali Rastegar, 2024. "News Sentiment and Liquidity Risk Forecasting: Insights from Iranian Banks," Risks, MDPI, vol. 12(11), pages 1-32, October.
   6. Ali Ben Mrad & Amine Lahiani & Salma Mefteh-Wali & Nada Mselmi, 2025. "Predicting bank inactivity: A comparative analysis of machine learning techniques for imbalanced data," Annals of Operations Research, Springer, vol. 351(1), pages 937-963, August.
   7. Chen, Dangxing & Ye, Jiahui & Ye, Weicheng, 2023. "Interpretable selective learning in credit risk," Research in International Business and Finance, Elsevier, vol. 65(C).
   8. Kristóf, Tamás & Virág, Miklós, 2022. "EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks," Research in International Business and Finance, Elsevier, vol. 61(C).
   9. Jiaming Liu & Chengzhang Li & Peng Ouyang & Jiajia Liu & Chong Wu, 2023. "Interpreting the prediction results of the tree‐based gradient boosting models for financial distress prediction with an explainable machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1112-1137, August.

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