Journals / Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2016 / Cilt: 11 - Sayı: 1

The Analysis of Banks’ Profitability with Financial Ratios and Macroeconomic Variables Based on System Dynamic Panel Data Model: Research on Turkey

Banka Karlılığı ile Finansal Oranlar ve Makroekonomik Değişkenler Arasındaki İlişkilerin Sistem Dinamik Panel Veri Modeli ile Analizi: Türkiye Araştırması

Pages
87–108
Publication Date
2016-04-01
DOI
—
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AI Summary & Key Takeaways

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

Banks’ profitability were estimated by the System Dynamic Panel Data Model based on changing level of internal and external factors and concluded that banks were found to be affected by internal and external variables

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Banking sector today continues to operate in a manner open to change and innovation.
📊
Key Findings & Data:The main target of the banks which are formed as kind of a private company is to increase their market share and profitability.
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Conclusion & Impact:Banks’ profitability were estimated by the System Dynamic Panel Data Model based on changing level of internal and external factors and concluded that banks were found to be affected by internal and external variables
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Banka Karlılığı · İçsel Değişkenler · Makroekonomik Değişkenler

Abstract

Banking sector today continues to operate in a manner open to change and innovation. The main target of the banks which are formed as kind of a private company is to increase their market share and profitability. Profitability depends not only on banks’ internal dynamics but also country’s macroeconomic variables. We have searched in this paper how commercial banks’ profitability figures in Turkey were affected by internal and external factors. Banks’ profitability were estimated by the System Dynamic Panel Data Model based on changing level of internal and external factors and concluded that banks were found to be affected by internal and external variables

Özet

Günümüzde bankacılık sektörü her geçen gün kendisini yenileyen, değişimlere açık bir biçimde faaliyetlerini sürdürmektedir. Özel birer işletme niteliğinde olan bankaların ana hedefi pazar payları ile birlikte karlılıklarını arttırmaktır. Karlılık sadece bankanın iç dinamiklerine bağlı olmayıp makroekonomik değişkenlerine de bağlıdır. Bu çalışmada Türkiye’de yer alan ticari bankaların karlılıklarının içsel ve dışsal değişkenlerden nasıl etkilendiği araştırılmaya çalışılmıştır. Bankaların karılılığı içsel ve dışsal faktörlerdeki değişim baz alınarak Sistem Dinamik Panel Veri Modeli ile tahmin edilip, bankaların hem içsel hem de dışsal değişkenlerden etkilendiği sonucuna ulaşılmıştır

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Cite This Article

SARITAŞ, H., GÖKÇE, A., GÖKÇE, A. (2016). The Analysis of Banks’ Profitability with Financial Ratios and Macroeconomic Variables Based on System Dynamic Panel Data Model: Research on Turkey. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 11 - Sayı: 1, 87–108. https://ajindex.com/articles/99200

References (14)

  1. Albertazzi, U. ve L. Gambacorta, (2009), “Bank Profitability and The Business Cycle”, Journal of Financial Stability, 5, 393-409.
  2. Ali K., F.M. Akhtar, H.Z. Ahmed (2011), “Bank-Specific and Macroeconomic Indicators of Profitability-Empirical Evidence from the Commercial Banks in Pakistan”, International Journal of Business and Social Sciences, 2(6), 235- 242. Aloğlu, Z.T. (2005), Bankacılık Sektörünün Karşılaştığı Riskler ve Bankacılık Krizleri Üzerindeki Etkileri, TCMB Bankacılık ve Finansal Kuruluşlar Genel Müdürlüğü Uzmanlık Yeterlilik Tezi, Ankara.
  3. Alper, D. ve A. Anbar (2011), “Bank-Specific and Macroeconomic Determinants of Commercial Bank Profitability: Empirical Evidence from Turkey”, Business and Economics Research Journal, 2 (2), 139-152.
  4. Antwi, F. ve E. V. Apau (2015), “Financial Performance of Rural and Community Banks (RCBs) in Ghana”, 3(2), 76-85.
  5. Arellano, M. ve S.R. Bond (1991), “Some Tests of Specification for Panel Data: Monte Carlo Evidence and An Application to Employment Equations”, Review of Economic Studies, 58, 277–297.
  6. Arellano, M. ve O. Bover (1995), “Another Look at The Instrumental Variables Estimation of Error-Component Models”, Journal of Econometrics, 68, 29–51.
  7. Artar, O. K. ve A. A. Sarıdoğan (2012), “Küresel Finansal Krizin Türkiye’de Bankacılık Sektörü Mali Yapısına Etkileri”, Marmara Sosyal Araştırmalar Dergisi, 2, 1-17.
  8. Atasoy, H. (2007), Türk Bankacılık Sektöründe Gelir-Gider Analizi Ve Karlılık Performansının Belirleyicileri, TCMB Uzmanlık Yeterlilik Tezi, Ankara.
  9. Athanasoglou, P.P., S. N. Brissimis ve M.D. Delis (2008), “Bank-Specific, IndustrySpecific and Macroeconomic Determinants of Bank Profitability”, International Financial Markets Institutions and Money,18, 121-136.
  10. Aykut, C. (2008), “Basel II Standartları”, Türkiye Cumhuriyeti Dışişleri Bakanlığı Yayınları, http://www.mfa.gov.tr/data/Kutuphane/yayinlar/EkonomikSorunlarDergisi/sayi3 0/basel.pdf, (Erişim: 01.07.2015).
  11. Baltagi, B.H. (2005), Econometric Analysis of Panel Data, 3trd ed., John Wiley & Sons. Bennaceur, S. M. ve M. Goaied (2008), “The Determinants of Commercial Bank Interest Margin and Profitability: Evidence from Tunisia”, Frontiers in Finance and Economics, 5, 106-130.
  12. Berger, A.N. (1995b), “The relationship between capital and earnings in banking”, Journal of Money, Credit and Banking, 27, 432–456.
  13. Blundell, R. ve S. Bond (1998), “Initial Conditions and Moment Restrictions in Dynamic Panel Data Models”, Journal of Econometrics, 87, 115-143.
  14. Bolt, W.