Credit Scoring of Turkey with Semiparametric Logit Models

Tugba Day?oglu ()
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Tugba Day?oglu: Nisantasi University Faculty of Economics, Department of Banking and Finance, Nisantasi University Sadabat Campus, Hasbahçe Kag?thane/ Istanbul, Turkey

International Journal of Economics and Financial Research, 2016, vol. 2, issue 1, 1-7

Abstract: The aim of this study is to determining the factors which could affect the credit scoring to reveal the relationship between economical policies implemented in Turkey and the credit ratings given by credit scoring agencies with econometrics method along with comparisons among countries. When the countries own resources are not enaugh to finance economical growth, countries are needed for foreign investments.These foreign investments are wanted by countries as direct foreign investments or financial investments. Both kinds want to have a trust on types of economies to invest on them. For this reason  it is needed to have a indicator for safety of a country to invest .The most important indicator developed for this  purpose is credit rate. Thus, figures of GDP, Current Account Balance, Foreign Borrowing and Inflation of Turkey in the year of the 2000-2015 using parametric and semiparametric logit models. The semiparametric methods best fitting models using best fitting smoothing methods when the combines that best features of the parametric and nonparametric approaches when the parametric model violated. We used the data of IMF World Economic Outlook Database and IMF Article IV countries reports, Moody’s,Standart&Poors and Fitch main reports on site.Â

Keywords: Semiparametric logit; Credit scoring; Credit scoring agencies. (search for similar items in EconPapers)
Date: 2016
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