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Pregled bibliografske jedinice broj: 221905

Customer revolving credit – how the economic conditions make a difference


Šarlija, Nataša; Benšić, Mirta; Bohaček, Zoran
Customer revolving credit – how the economic conditions make a difference // Credit Scoring & Credit Control IX : conference proceedings
Edinburgh: Credit Research Centre, University of Edinburgh, School of Management, 2005. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Customer revolving credit – how the economic conditions make a difference

Autori
Šarlija, Nataša ; Benšić, Mirta ; Bohaček, Zoran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Credit Scoring & Credit Control IX : conference proceedings / - Edinburgh : Credit Research Centre, University of Edinburgh, School of Management, 2005

Skup
Credit Scoring & Credit Control (9 ; 2005)

Mjesto i datum
Edinburgh, Škotska, 07.-09.09.2005

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
credit scoring modeling; logistic regression; survival analysis; revolving credit

Sažetak
The aim of this paper is to discuss credit scoring modeling of a customer revolving credit depending on customer application data and transaction behavior data influenced by specific economic conditions that exist in Croatia. Since Croatia is a country in transition with war consequences, changes in political, institutional and social systems and, above all, with specific economic conditions characterized by slow economy, a high unemployment rate and a relatively low personal income, it is assumed that this influences credit behavior of customers and, as a consequence, a composition of credit scoring models. For instance, it has been shown that a small business credit scoring model developed in Croatia is influenced by economic conditions. The data set for our research consisted of 50, 000 customer accounts (application data and transaction data) in Croatia over the period of 12 months. We have developed a logistic credit scoring model and a survival-based credit scoring model in order to assess the relative importance of different variables in predicting default as well as profitability of a customer. The paper analyzes influences of economic conditions on credit scoring modeling.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Ekonomija



POVEZANOST RADA


Projekti:
0010014
0235002

Ustanove:
Ekonomski fakultet, Osijek,
Sveučilište u Osijeku, Odjel za matematiku

Profili:

Avatar Url Mirta Benšić (autor)

Avatar Url Zoran Bohaček (autor)

Avatar Url Nataša Šarlija (autor)


Citiraj ovu publikaciju:

Šarlija, Nataša; Benšić, Mirta; Bohaček, Zoran
Customer revolving credit – how the economic conditions make a difference // Credit Scoring & Credit Control IX : conference proceedings
Edinburgh: Credit Research Centre, University of Edinburgh, School of Management, 2005. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Šarlija, N., Benšić, M. & Bohaček, Z. (2005) Customer revolving credit – how the economic conditions make a difference. U: Credit Scoring & Credit Control IX : conference proceedings.
@article{article, year = {2005}, keywords = {credit scoring modeling, logistic regression, survival analysis, revolving credit}, title = {Customer revolving credit – how the economic conditions make a difference}, keyword = {credit scoring modeling, logistic regression, survival analysis, revolving credit}, publisher = {Credit Research Centre, University of Edinburgh, School of Management}, publisherplace = {Edinburgh, \v{S}kotska} }
@article{article, year = {2005}, keywords = {credit scoring modeling, logistic regression, survival analysis, revolving credit}, title = {Customer revolving credit – how the economic conditions make a difference}, keyword = {credit scoring modeling, logistic regression, survival analysis, revolving credit}, publisher = {Credit Research Centre, University of Edinburgh, School of Management}, publisherplace = {Edinburgh, \v{S}kotska} }




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