Unité mixte de recherche 7235

How is credit scoring used to predict default in China?

Ha Thu Nguyen

[en]In this paper, we carry out a review of literature for both traditional and sophisticated credit assessment techniques, with a particular focus on credit scoring which is broadly used as a costeffective credit risk management tool. The objective of the paper is to present a set-up of an application credit-scoring model and to estimate such a model using an auto loan data-set of one of the largest automobile manufacturers in China. The logistic regression approach, which is widely used in credit scoring, is employed to construct our scorecard. A detailed step-by-step development process is provided, as are discussions about specific modeling issues. The paper finally shows that “married”, “house owner”, “female”, age in years, “working in public institutions, foreign, or joint venture companies”, down payment rate, and maximum months on book of current accounts negatively impact the probability of default.[/en]

AGENDA

jeudi 1 juin 2023

Lunch

Quentin Hoarau

Feebate on new vehicles : pass-through on the second-hand market and distributional impacts

vendredi 2 juin 2023

Rencontres économiques

9h30 à 11h30

Le renouveau industriel français est-il encore possible ?

jeudi 8 juin 2023

Doctorants

Sahil Chopra (Université Sorbonne Paris-Nord)

Economics of litigation : Securities class action with third-party funding

lundi 12 juin 2023

Law, Institutions and Economics in Nanterre (LIEN)

Arthur Silve (IAST / Univ. Laval)

TBA

jeudi 15 juin 2023

Lunch

Guillaume Pierné

TBA

lundi 19 juin 2023

Law, Institutions and Economics in Nanterre (LIEN)

Juan Mora-Sanguinetti (Banco de Espana)

TBA

jeudi 22 juin 2023

Doctorants

Jules Chaperon

TBA

vendredi 1 septembre 2023

Professeurs invités

Ken Yahagi

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