Journals / Business and Economics Research Journal / 2020 / Cilt: 11 - Sayı: 4

Analysis of Determinants of Credit Growth with Time Varying Causality Test in Turkey

Türkiye'de Kredi Büyümesinin Belirleyicilerinin ZamanlaDeğişen Nedensellik Testiyle Analizi

Pages
969–988
Publication Date
2022-10-12
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Therefore, it is revealed that policiestowards the stability of credit growth require a dynamic design.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Although credit growth has been the main driver of financial development and economicgrowth in recent years, the factors affecting credit growth cannot be said to be sufficiently understood.This study examines which economic factors determine credit growth, which is an important part of thefinancial system in Turkey.
📊
Key Findings & Data:Econometric estimates for the 2006Q1-2019Q4 period are based on Todaand Yamamoto (1995) and Hacker and Hatemi-J (2006) causality tests.
💡
Conclusion & Impact:Therefore, it is revealed that policiestowards the stability of credit growth require a dynamic design.
🔬Design:Research Article
📍Scope:2006 Verileri
⚙️Variables:Domain Parameters

Abstract

Although credit growth has been the main driver of financial development and economicgrowth in recent years, the factors affecting credit growth cannot be said to be sufficiently understood.This study examines which economic factors determine credit growth, which is an important part of thefinancial system in Turkey. Econometric estimates for the 2006Q1-2019Q4 period are based on Todaand Yamamoto (1995) and Hacker and Hatemi-J (2006) causality tests. However, our approach takesinto account the time-varying causality. In addition to the variables related to the banking sector, thevariables representing the country's macro-economic and monetary policy conditions, and foreigndemand and global liquidity conditions are examined as determinants of credit growth. It is determinedthat GDP growth rate and inflation rate, which are among macroeconomic variables, lead creditgrowth, but less frequently causality relationship is from public debt to credit growth. Regardingmonetary policy, causality from money supply to credit growth is more uncertain than Central Bank ofthe Republic of Turkey (CBRT) interest rates. Similarly, periodic causality relationships are observed fromthe variables of US federal funds, capital inflows, and exchange rates, which represent foreign demandand global liquidity conditions, to credit growth. These findings clearly show that causal relationshipsbetween credit growth and its determinants are time-varying. Therefore, it is revealed that policiestowards the stability of credit growth require a dynamic design.

Özet

Son yıllarda kredi büyümesi finansal sistemin gelişimi ve iktisadi büyümenin ana itici gücü olmasına rağmen kredi büyümesini etkileyen faktörlerin yeterince anlaşıldığı söylenemez. Bu çalışmada Türkiye’de finansal sistemin önemli bir parçasını oluşturan kredi büyümesini hangi iktisadi faktörlerin belirlediği incelenmektedir. 2006Q1-2019Q4 dönemi için yapılan ekonometrik tahminler Toda ve Yamamoto (1995) ve Hacker ve Hatemi-J (2006) nedensellik testlerine dayanmaktadır. Ancak bizim yaklaşımımız zamanla değişen nedenselliği hesaba katmaktadır. Kredi büyümesinin belirleyicileri olarak bankacılık sektörüne ilişkin değişkenlerin yanı sıra ülkenin makro iktisadi ve para politikası koşulları ile dış talep ve küresel likidite koşullarını temsil eden değişkenler incelenmektedir. Makro iktisadi değişkenlerden GSYH büyüme oranı ve enflasyon oranının kredi büyümesini yönlendirici olduğu fakat kamu borcundan kredilere doğru ise daha seyrek nedensellik ilişkisi olduğu tespit edilmektedir. Para politikası ile ilişkili olarak ise para arzından kredi büyümesine doğru nedensellik, TCMB faiz oranlarına göre daha belirsizdir. Benzer şekilde, dış talep ve küresel likidite koşullarını temsil eden ABD federal fon oranı, sermaye girişi ve döviz kuru değişkenlerinden kredi arzına doğru da dönemsel nedensellik ilişkilerine rastlanmaktadır. Bu bulgular kredi büyümesi ile onun belirleyicileri arasındaki nedensellik ilişkilerinin zamana bağlı olarak değişkenlik gösterdiğini açıkça göstermektedir. Dolayısıyla kredi büyümesinin istikrarına yönelik politikaların dinamik bir şekilde tasarlanması gerektirdiği ortaya konulmaktadır.

🔖

Cite This Article

SEKMEN, T., TOPUZ, S. G. (2022). Analysis of Determinants of Credit Growth with Time Varying Causality Test in Turkey. Business and Economics Research Journal, Cilt: 11 - Sayı: 4, 969–988. https://ajindex.com/articles/469902

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Akinlo, A. E., & Oni, I. O. (2015). Determinants of bank credit growth in Nigeria 1980-2010. European Journal of Sustainable Development, 4(1), 23-23.
  2. Alessi, L., & Detken, C. (2014). Identifying excessive credit growth and leverage. ECB Working Paper No. 1723, European Central Bank. Alihodžić, A., & Ekşi, İ. H. (2018). Credit growth and non-performing loans: evidence from Turkey and some Balkan countries. Eastern Journal of European Studies, 9(2), 229-249.
  3. Awdeh, A. (2017). The determinants of credit growth in Lebanon. International Business Research, 10(2), 9-19.
  4. Balcilar, M., Ozdemir, Z. A., & Arslanturk, Y. (2010). Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window. Energy Economics, 32(6), 1398-1410.
  5. Beck, T., Levine, R., & Loayza, N. (2000). Finance and the sources of growth. Journal of Financial Economics 58, 261-300.
  6. Bernanke, B., & Gertler, M. (1995). Inside the black box: The credit channel of monetary policy transmission. NBER Working Paper No. 5146. Borio, C., & Drehmann, M. (2009). Assessing the risk of banking crises – revisited. BIS Quarterly Review, 29-46.
  7. Borio, C., Furfine C., & Lowe, P. (2002). Procyclicality of the financial system and financial stability: Issue and policy options. BIS Working Papers 1, 1-57.
  8. Calza, A., Gartner, C., & Sousa, J. (2003). Modelling the demand for loans to the private sector in the Euro area. Applied Economics, 35(1), 107-117.
  9. Chen, G., & Wu, Y. (2014). Bank ownership and credit growth in emerging markets during and after the 2008– 09 financial crisis: A cross-regional comparison. IMF Working Paper WP/14/171, International Monetary Fund, Washington D.C. Cucinelli, D. (2015). The impact of non-performing Loans on bank lending behavior: Evidence from the Italian banking sector. Eurasian Journal of Business and Economics, 8, 59-71.
  10. Dolado, J. J., & Lütkepohl, H. (1996). Making Wald tests work for cointegrated VAR systems. Econometric Reviews, 15(4), 369-386.
  11. Elekdag, S., & Wu, Y. (2011). Rapid credit growth: Boon or boom-bust? In IMF Working Paper 11/241. Washington: International Monetary Fund. Elekdag, S., & Han, F. (2015). What drives credit growth in emerging Asia? Journal of Asian Economics, 38, 1-13.
  12. Friedman, B., & Kuttner, K. (1993). Economic activity and the short-term credit markets: An analysis of prices and quantities. Brookings Papers on Economic Activity, 2, 193-283.
  13. Gourinchas, P. O., & Obstfeld, M. (2012). Stories of the twentieth century for the twent