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TÜRK REEL SEKTÖR FİRMALARINDA KREDİ RİSKİNİN MİKRO VE MAKRO BELİRLEYİCİLERİ ÜZERİNE EKONOMETRİK BİR ANALİZ

Yıl 2023, Cilt: 8 Sayı: 3, 660 - 668, 09.10.2023
https://doi.org/10.29106/fesa.1277843

Öz

Çalışmanın amacı, firmaya özgü değişkenlerin ve makro ekonomik değişkenlerin Türk reel sektör firmalarının kredi riski üzerindeki etkisini analiz etmektir. Bu bağlamda makroekonomik veriler ile Türkiye Cumhuriyet Merkez Bankası (TCMB) tarafından yayımlanan sektör bilançoları istatistiklerinde yer alan 17 sektöre ait finansal tablo ve risk verileri kullanılmıştır. 2016-2021 dönemine ilişkin yıllık veriler doğrusal panel veri yöntemleri ile analiz edilmiştir. Analiz sonuçları, alacak devir hızı, nakit oran, özsermaye kârlılığı ve enflasyon oranı değişkenlerinin kredi riski üzerindeki etkisinin negatif, kısa vadeli borç/toplam borç oranı, döviz kuru ve faiz oranı değişkenlerinin kredi riski üzerindeki etkisinin pozitif olduğunu göstermiştir.

Kaynakça

  • BARRA, C. ve RUGGIERO, N. (2022). Bank-Specific Factors and Credit Risk: Evidence From Italian Banks in Different Local Markets. Journal of Financial Regulation and Compliance, 31(3), 316-350.
  • BASEL COMMITTEE ON BANKING SUPERVISION. (2000). Principles for the Management of Credit Risk, Bank for International Settlements.
  • BAŞ, G. ve KARA, M. (2021). The Effect of Macroeconomic Factors on Non-Performing Loans: A Time Series Analysis for Turkey. Journal of Economics Business and Political Researches, 6(16), 335-347.
  • BELAID, F. (2014). Loan Quality Determinants: Evaluating the Contribution of Bank-Specific Variables, Macroeconomic Factors and Firm Level İnformation. Graduate Institute of International and Development Studies Working Paper, No. 04/2014.
  • BONFIM, D. (2009). Credit Risk Drivers: Evaluating the Contribution of Firm Level Information and of Macroeconomic Dynamics. Journal of Banking & Finance, 33(2), 281-299.
  • CAZACU, A. M. (2015). Determinants of Non-Performing Loans Ratio. Evidence From Firm-Level Data, International Finance and Banking Conference 2015, 354-358.
  • COSTA, S. (2012). Households Default Probability: An Analysis Based on the Results of the HFCS. Banco de Portugal, Financial Stability Report, November.
  • ERDAŞ, M.L. ve EZANOĞLU, Z. (2022) How Do Bank-Specific Factors Impact Non-Performing Loans: Evidence from G20 Countries. Journal of Central Banking Theory and Practice, 11(2), 97-122.
  • GENÇ, E. ve ŞAŞMAZ, M. Ü. (2016). Takipteki Banka Kredilerinin Makroekonomik Belirleyicileri: Ticari Krediler Örneği. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi,36,119-129.
  • GREENE, W. H. (2002). Econometric Analysis, 5. Baskı, Prentice Hall.
  • HOLLÓ, D. ve PAPP, M. (2007). Assessing Household Credit Risk: Evidence from A Household Survey. MNB Occasional Papers, No. 70, Magyar Nemzeti Bank.
  • JAKUBIK, B. ve REININGER, T. (2013). Determinants of Nonperforming Loans in Central, Eastern and Southeastern Europe, Focus on European Economic Integration,Oesterreichische Nationalbank, Q3/13, 48-66.
  • KADIOĞLU, E. ve TELÇEKEN, N. (2022). Bankalarda Kredi Kalitesini Etkileyen Reel Sektör Faktörlerinin Analizi. Journal of Business and Trade, 3(1), 48-64.
  • KOJU, L., KOJU, R. ve WANG, S. (2020). Macroeconomic Determinants of Credit Risks: Evidence from High Income Countries. European Journal of Management and Business Economics, 29(1), 41-53.
  • LOUZIS, D. P.,VOULDIS, A. T. ve METAXAS,V. L. (2010). Macroeconomic and Bank-Specific Determinants of Non-Performing Loans in Greece: A Comparative Study of Mortgage, Business and Consumer Loan Portfolios. Journal of Banking & Finance, 36(4), 1012-1027.
  • MILERIS, R. (2014). Macroeconomic Factors of Non-Performing Loans in Commercial Banks. Ekonomika, 93(1), 22-39.
  • NIEPMANN, F. ve SCHMIDT-EISENLOHR, T. (2017). Foreign Currency Loans and Credit Risk: Evidence from U.S. Banks, CESifo Working Paper, No. 6700.
  • PETERS, B. (2007). Approaches to Measuring, Limiting and Managing Risks, Especially Those Facing Small and Medium-Sized Institutions. Bank for International Settlements.
  • RACHMAN, R. A., KADARUSMAN, Y.B., ANGGRIONO, K. ve SETIADI, R. (2018). Bank-Specific Factors Affecting Non-Performing Loans in Developing Countries:Case Study of Indonesia. Journal of Asian Finance, Economics and Business, 5(2), 35-42.
  • RODRIGUEZ-MORENO M. ve PEÑA, J.I., Systemic Risk Measures: The Simpler the Better?. Journal of Banking & Finance, 37(6),1817-1831.
  • TATOĞLU, F. Y. (2016). Panel Veri Ekonometrisi, 3.Baskı, Beta Yayınevi.
  • TEHULU, T. A. ve OLANA, D. R. (2014). Bank- Specific Determinants of Credit Risk: Empirical Evidence from Ethiopian Banks. Research Journal of Finance and Accounting, 5(7),80-85.
  • TUNAY, K. B. ve AKHİSAR, İ. (2021). Determinants of Credit Risk in the Turkish Commercial Banking Sector: New Findings - Turkish Practice. International Journal of Insurance and Finance, 1(2), 39-49.
  • YAŞAR, E. M. ve KILIÇKAPLAN, S. (2020). Türk Bankacılık Sektörü Kredi Riski Yönetiminde Öncü Göstergelerin Belirlenmesi: Sektörel Risk Derecelendirmesi. Bulletin of Economic Theory and Analysis, 5(2), 37- 73. İnternet Kaynakları
  • TCMB EVDS, https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket (Erişim Tarihi: 19 Aralık 2022). TCMB, https://www3.tcmb.gov.tr/sektor/#/tr (Erişim Tarihi: 6 Kasım 2022). Türkiye İstatistik Kurumu, https://www.tuik.gov.tr/ (Erişim Tarihi: 19 Aralık 2022).

AN ECONOMETRIC ANALYSIS ON THE MICRO AND MACRO DETERMINANTS OF CREDIT RISK IN TURKISH REAL SECTOR FIRMS

Yıl 2023, Cilt: 8 Sayı: 3, 660 - 668, 09.10.2023
https://doi.org/10.29106/fesa.1277843

Öz

The purpose of this study is to analyze the impact of firm specific and macroeconomic variables on the credit risk of Turkish real sector firms. In this context, financial statements and risk data of 17 sectors in the company accounts statistics published by the Central Bank of the Republic of Türkiye (CBRT) and macroeconomic data were used. Annual data for the period 2016-2021 were analyzed using linear panel data methods. Analysis results indicate that receivables turnover, cash ratio, return on equity and inflation rate have a negative effect on credit risk, but short term debt/total debt ratio, exchange rate and interest rate have a positive effect.

Kaynakça

  • BARRA, C. ve RUGGIERO, N. (2022). Bank-Specific Factors and Credit Risk: Evidence From Italian Banks in Different Local Markets. Journal of Financial Regulation and Compliance, 31(3), 316-350.
  • BASEL COMMITTEE ON BANKING SUPERVISION. (2000). Principles for the Management of Credit Risk, Bank for International Settlements.
  • BAŞ, G. ve KARA, M. (2021). The Effect of Macroeconomic Factors on Non-Performing Loans: A Time Series Analysis for Turkey. Journal of Economics Business and Political Researches, 6(16), 335-347.
  • BELAID, F. (2014). Loan Quality Determinants: Evaluating the Contribution of Bank-Specific Variables, Macroeconomic Factors and Firm Level İnformation. Graduate Institute of International and Development Studies Working Paper, No. 04/2014.
  • BONFIM, D. (2009). Credit Risk Drivers: Evaluating the Contribution of Firm Level Information and of Macroeconomic Dynamics. Journal of Banking & Finance, 33(2), 281-299.
  • CAZACU, A. M. (2015). Determinants of Non-Performing Loans Ratio. Evidence From Firm-Level Data, International Finance and Banking Conference 2015, 354-358.
  • COSTA, S. (2012). Households Default Probability: An Analysis Based on the Results of the HFCS. Banco de Portugal, Financial Stability Report, November.
  • ERDAŞ, M.L. ve EZANOĞLU, Z. (2022) How Do Bank-Specific Factors Impact Non-Performing Loans: Evidence from G20 Countries. Journal of Central Banking Theory and Practice, 11(2), 97-122.
  • GENÇ, E. ve ŞAŞMAZ, M. Ü. (2016). Takipteki Banka Kredilerinin Makroekonomik Belirleyicileri: Ticari Krediler Örneği. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi,36,119-129.
  • GREENE, W. H. (2002). Econometric Analysis, 5. Baskı, Prentice Hall.
  • HOLLÓ, D. ve PAPP, M. (2007). Assessing Household Credit Risk: Evidence from A Household Survey. MNB Occasional Papers, No. 70, Magyar Nemzeti Bank.
  • JAKUBIK, B. ve REININGER, T. (2013). Determinants of Nonperforming Loans in Central, Eastern and Southeastern Europe, Focus on European Economic Integration,Oesterreichische Nationalbank, Q3/13, 48-66.
  • KADIOĞLU, E. ve TELÇEKEN, N. (2022). Bankalarda Kredi Kalitesini Etkileyen Reel Sektör Faktörlerinin Analizi. Journal of Business and Trade, 3(1), 48-64.
  • KOJU, L., KOJU, R. ve WANG, S. (2020). Macroeconomic Determinants of Credit Risks: Evidence from High Income Countries. European Journal of Management and Business Economics, 29(1), 41-53.
  • LOUZIS, D. P.,VOULDIS, A. T. ve METAXAS,V. L. (2010). Macroeconomic and Bank-Specific Determinants of Non-Performing Loans in Greece: A Comparative Study of Mortgage, Business and Consumer Loan Portfolios. Journal of Banking & Finance, 36(4), 1012-1027.
  • MILERIS, R. (2014). Macroeconomic Factors of Non-Performing Loans in Commercial Banks. Ekonomika, 93(1), 22-39.
  • NIEPMANN, F. ve SCHMIDT-EISENLOHR, T. (2017). Foreign Currency Loans and Credit Risk: Evidence from U.S. Banks, CESifo Working Paper, No. 6700.
  • PETERS, B. (2007). Approaches to Measuring, Limiting and Managing Risks, Especially Those Facing Small and Medium-Sized Institutions. Bank for International Settlements.
  • RACHMAN, R. A., KADARUSMAN, Y.B., ANGGRIONO, K. ve SETIADI, R. (2018). Bank-Specific Factors Affecting Non-Performing Loans in Developing Countries:Case Study of Indonesia. Journal of Asian Finance, Economics and Business, 5(2), 35-42.
  • RODRIGUEZ-MORENO M. ve PEÑA, J.I., Systemic Risk Measures: The Simpler the Better?. Journal of Banking & Finance, 37(6),1817-1831.
  • TATOĞLU, F. Y. (2016). Panel Veri Ekonometrisi, 3.Baskı, Beta Yayınevi.
  • TEHULU, T. A. ve OLANA, D. R. (2014). Bank- Specific Determinants of Credit Risk: Empirical Evidence from Ethiopian Banks. Research Journal of Finance and Accounting, 5(7),80-85.
  • TUNAY, K. B. ve AKHİSAR, İ. (2021). Determinants of Credit Risk in the Turkish Commercial Banking Sector: New Findings - Turkish Practice. International Journal of Insurance and Finance, 1(2), 39-49.
  • YAŞAR, E. M. ve KILIÇKAPLAN, S. (2020). Türk Bankacılık Sektörü Kredi Riski Yönetiminde Öncü Göstergelerin Belirlenmesi: Sektörel Risk Derecelendirmesi. Bulletin of Economic Theory and Analysis, 5(2), 37- 73. İnternet Kaynakları
  • TCMB EVDS, https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket (Erişim Tarihi: 19 Aralık 2022). TCMB, https://www3.tcmb.gov.tr/sektor/#/tr (Erişim Tarihi: 6 Kasım 2022). Türkiye İstatistik Kurumu, https://www.tuik.gov.tr/ (Erişim Tarihi: 19 Aralık 2022).
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makaleleri
Yazarlar

Pınar Dumanoğlu 0000-0002-9285-6169

Bengü Vuran 0000-0002-2428-1543

Erken Görünüm Tarihi 30 Eylül 2023
Yayımlanma Tarihi 9 Ekim 2023
Gönderilme Tarihi 5 Nisan 2023
Kabul Tarihi 9 Ağustos 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 8 Sayı: 3

Kaynak Göster

APA Dumanoğlu, P., & Vuran, B. (2023). TÜRK REEL SEKTÖR FİRMALARINDA KREDİ RİSKİNİN MİKRO VE MAKRO BELİRLEYİCİLERİ ÜZERİNE EKONOMETRİK BİR ANALİZ. Finans Ekonomi Ve Sosyal Araştırmalar Dergisi, 8(3), 660-668. https://doi.org/10.29106/fesa.1277843