Ha Thu NGUYEN
Personal Details
First Name: | Ha Thu |
Middle Name: | |
Last Name: | Nguyen |
Suffix: | |
RePEc Short-ID: | png170 |
[This author has chosen not to make the email address public] | |
Affiliation
EconomiX
Université Paris-Nanterre (Paris X)
Nanterre, Francehttp://economix.fr/
RePEc:edi:modemfr (more details at EDIRC)
Research output
Jump to: Working papersWorking papers
- Ha-Thu Nguyen, 2016. "Reject inference in application scorecards: evidence from France," EconomiX Working Papers 2016-10, University of Paris Nanterre, EconomiX.
- Ha-Thu Nguyen, 2015. "How is credit scoring used to predict default in China?," EconomiX Working Papers 2015-1, University of Paris Nanterre, EconomiX.
- Ha-Thu Nguyen, 2014. "Default Predictors in Credit Scoring - Evidence from France’s Retail Banking Institution," EconomiX Working Papers 2014-26, University of Paris Nanterre, EconomiX.
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.Working papers
- Ha-Thu Nguyen, 2016.
"Reject inference in application scorecards: evidence from France,"
EconomiX Working Papers
2016-10, University of Paris Nanterre, EconomiX.
Cited by:
- Mengnan Song & Jiasong Wang & Suisui Su, 2022. "Towards a Better Microcredit Decision," Papers 2209.07574, arXiv.org.
- Adrien Ehrhardt & Christophe Biernacki & Vincent Vandewalle & Philippe Heinrich & S'ebastien Beben, 2019. "R\'eint\'egration des refus\'es en Credit Scoring," Papers 1903.10855, arXiv.org.
- Qiang Liu & Yingtao Luo & Shu Wu & Zhen Zhang & Xiangnan Yue & Hong Jin & Liang Wang, 2022. "RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring," Papers 2206.00568, arXiv.org.
- Rogelio A. Mancisidor & Michael Kampffmeyer & Kjersti Aas & Robert Jenssen, 2019. "Deep Generative Models for Reject Inference in Credit Scoring," Papers 1904.11376, arXiv.org, revised Sep 2021.
- Ha-Thu Nguyen, 2015.
"How is credit scoring used to predict default in China?,"
EconomiX Working Papers
2015-1, University of Paris Nanterre, EconomiX.
Cited by:
- Tomáš Vaněk & David Hampel, 2017. "The Probability of Default Under IFRS 9: Multi-period Estimation and Macroeconomic Forecast," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(2), pages 759-776.
More information
Research fields, statistics, top rankings, if available.Statistics
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Rankings
This author is among the top 5% authors according to these criteria:NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-BAN: Banking (2) 2014-05-24 2015-02-16
- NEP-RMG: Risk Management (2) 2014-05-24 2015-02-16
- NEP-CFN: Corporate Finance (1) 2014-05-24
- NEP-CNA: China (1) 2015-02-16
- NEP-ECM: Econometrics (1) 2016-03-10
- NEP-PAY: Payment Systems and Financial Technology (1) 2016-03-10
- NEP-TRA: Transition Economics (1) 2015-02-16
Corrections
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