Joint research unit 7235

How is credit scoring used to predict default in China?

Ha Thu Nguyen

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.

AGENDA

Tuesday 31 January 2023

Recherche et Economie et Socioéconomie Politique, des Institutions et des Régulations (RESPIR)

Nathalie Heinich (EHESS)

ANNULÉ ET REPORTÉ À UNE DATE ULTÉRIEURE

Valeur et mesure: aux limites de l’approche économique

Tuesday 31 January 2023

Valeur et mesure: aux limites de l’approche économique

Nathalie Heinich (EHESS)

ANNULÉ ET REPORTÉ À UNE DATE ULTÉRIEURE

Valeur et mesure: aux limites de l’approche économique

Tuesday 31 January 2023

Series of Webinars on Economics of Environment, Energy and Transport (SWEEET)

Aurelien Saussay(OFCE, Sciences Po, Paris), Misato Sato, (London School of Economics and Political Science) Francesco Vona (University of Milan) Layla O’Kane(Lightcast)

En visio

Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job ad data

Tuesday 31 January 2023

Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job ad data

Aurelien Saussay(OFCE, Sciences Po, Paris), Misato Sato, (London School of Economics and Political Science) Francesco Vona (University of Milan) Layla O’Kane(Lightcast)

En visio

Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job ad data

Thursday 2 February 2023

Nouveaux doctorants

Nabil Daher, Michaël Guilloussou, Daniela Lima Rente, Maryam Soltani

Nouveaux doctorants

Thursday 2 February 2023

Lunch

Nabil Daher, Michaël Guilloussou, Daniela Lima Rente, Maryam Soltani

Nouveaux doctorants

Thursday 2 February 2023

Groupe de travail Economie Comportementale

Carole Treibich (Laboratoire d'Economie Appliquée de Grenoble GAEL)

Salle 101

Disentangling peer effects in transportation mode choice: the example of active commuting

Thursday 2 February 2023

Disentangling peer effects in transportation mode choice: the example of active commuting

Carole Treibich (Laboratoire d'Economie Appliquée de Grenoble GAEL)

Salle 101

Disentangling peer effects in transportation mode choice: the example of active commuting

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