Le Hong Hanh


1. Personal information:

Full name:

Le Hong Hanh

 

Year of birth:

17/10/1990

Position/Occupation:

Lecturer

Academic title:

Doctor -2018

Foreign languages:

English and French

Email:

Hanhhongle1990@gmail.com

Cell phone:

(84) 932159862

Office address:

144 Xuan Thuy, Cau Giay District, Hanoi, Vietnam

2. Education:

  • 2012: Bachelor in Finance and Banking, Bac Ha international University
  • 2014: Master in finance (Advanced studies and research in finance) - University of Rennes 1, France
  • 2018: Doctor in finance - University of Rennes 1, France

3. Employment/Experience:

  • 2020 - present: Lecturer, Faculty of Finance and Banking, UEB, VNU
  • 2016 - 2020: Lecturer, Faculty of Finance and Banking, Ton Duc Thang University
  • 2015 - 2017: Visiting Lecturer, Faculty of Finance, University of Rennes 1, France
  • 2012 - 2013: Teaching assistant, Faculty of Finance and Banking, Bac Ha international University

4. Research domain:

  • The application of machine learning in finance: bank bankruptcy, risk in finance, financial distress....
  • Fintech in banking
  • Measuring the efficiency in performing and profitability in finance and banking
  • Circular Economy

5. Publications:

5.1. Articles, working papers:

  1. Le, Hong Hanh, and Jean-Laurent Viviani. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios." Research in International Business and Finance 44 (2018): 16-25. (SSCI, ABDC: B)
  2. Australasian Finance and Banking Conference, (AFBC) Australia 2018: Why does bank fail? - The answer from Text analysis.
  3. International Conference in Finance and Economics, (ICFE) Vietnam 2017: A DEA 2 stage to measure the efficiency of loan loss provision in top US banks.
  4. Vietnam Economics Annual Meeting, (VEAM) Vietnam 2016: Predicting bank failure: statistical techniques versus intelligent techniques.
  5. International Conference of The French Finance Association, (AFFI) Belgium 2016: Predicting the bankruptcy of U.S bank via machine learning methods.
  6. Workshop of PhD. in economics and management in Rennes, France 2015: Can classical ratios predict the bankruptcy of banks?

5.3. Research projects:

  1. “Fintech - Does it improve bank’s efficiency and profitability”: University level, Main researcher, 2019-2020.

6. Scientific and technical awards:

  1. Scholarship of University of Rennes 1, France - For excellent research student, 2013-2014
  2. Supervised successfully group of research student and obtained high ranking, University level, 2018


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