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Применение дискриминационной модели в управлении риском потребительских кредитов в коммерческом банке Вьетнама // Applying Discriminant Model to Manage Credit Risk for Consumer Loans in Vietnamese Commercial Bank

Author

Listed:
  • T. Nguyen D.

    (Banking Academy of Vietnam)

  • T. Do T.

    (Banking Academy of Vietnam)

  • B. Nguyen N.

    (Banking Academy of Vietnam)

  • Т. Нгуен Д.

    (Банковская академия Вьетнама)

  • Т. До Т.

    (Банковская академия Вьетнама)

  • Б. Нгуен Н.

    (Банковская академия Вьетнама)

Abstract

This study estimates a two-group discriminant function to determine the expected financial health of the consumer credit customers’ of a bank of Vietnam by using five demographic, socio-economic, and loan characteristics of the sample borrowers. The estimated function is significant at one per cent level of significance and the model estimates financial health/group membership with average seventy-three per cent accuracy. Like developed countries, it is expected that use of the estimated discriminant function in the consumer credit decision making will decrease bad debts, will help to set risk based credit pricing for the clients and will make the credit granting faster and more accurate. В данной работе с помощью бинарной дискриминационной функции проведена оценка ожидаемого финансового «здоровья» пользователей потребительских кредитов, предоставляемых банком Вьетнама, используя пять демографических, социально-экономических видов займов характеристик пробы заемщиков. Оцениваемая дискриминационная функция оказалась достоверной при 1%-ном уровне значимости и применении модели оценки финансового «здоровья» потребителей выбранной группы потребителей, что дало результат с 73%-ной достоверностью. В развитых странах предполагается, что применение оценки с помощью дискриминационной функции при принятии решения в области потребительского кредита будет способствовать снижению числа плохих долгов, а также даст возможность устанавливать оценку платежеспособности с учетом риска. Это поможет ускорить оформление кредита и поднять уровень его обеспеченности.

Suggested Citation

  • T. Nguyen D. & T. Do T. & B. Nguyen N. & Т. Нгуен Д. & Т. До Т. & Б. Нгуен Н., 2016. "Применение дискриминационной модели в управлении риском потребительских кредитов в коммерческом банке Вьетнама // Applying Discriminant Model to Manage Credit Risk for Consumer Loans in Vietnamese Com," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 4(4), pages 5-16.
  • Handle: RePEc:scn:00rbes:y:2016:i:4:p:5-16
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    References listed on IDEAS

    as
    1. Sihem Khemakhem & Younes Boujelbene, 2015. "Credit Risk Prediction: A Comparative Study between Discriminant Analysis and the Neural Network Approach," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 14(1), pages 60-78, March.
    2. Awh, Robert Y & Waters, D, 1974. "A Discriminant Analysis of Economic, Demographic, and Attitudinal Characteristics of Bank Charge-Card Holders: A Case Study," Journal of Finance, American Finance Association, vol. 29(3), pages 973-980, June.
    3. J J Glen, 2001. "Classification accuracy in discriminant analysis: a mixed integer programming approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(3), pages 328-339, March.
    4. Dinh, Thi Huyen Thanh & Kleimeier, Stefanie, 2007. "A credit scoring model for Vietnam's retail banking market," International Review of Financial Analysis, Elsevier, vol. 16(5), pages 471-495.
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