Makroekonomik Göstergelerin Borç Faiz Oranları Üzerindeki Etkileri: BRICST, MINT ve Kırılgan Beşli Ülkelerinden Kanıtlar

Yıl 2022, , 682 - 693, 30.11.2022

Özge Korkmaz , Mustafa Tevfik Kartal , Fatih Ayhan

https://doi.org/10.29249/selcuksbmyd.1168428

Öz

Bu çalışma, faiz oranlarının ekonomik büyüme açısından önemini göz önünde bulundurarak, önde gelen gelişmekte olan ülkelerde makroekonomik göstergelerin borç verme faiz oranları üzerindeki etkilerini analiz etmektedir. Bu kapsamda, borç verme faiz oranı bağımlı değişken olarak kabul edilmekte; temel makroekonomik göstergeler olan bağımsız değişkenler arasında döviz kurları, gayri safi yurtiçi hasıla (GSYİH) ve enflasyon yer almakta; 1990'dan 2019'a kadar olan yıllık veriler kullanılmış ve panel veri analizi uygulanmıştır. Ampirik analiz sonuçlarına göre, (i) döviz kurları, GSYİH ve enflasyonun panel düzeyinde borç verme faiz oranları üzerinde önemli bir etkiye sahiptir; (ii) bu makroekonomik göstergelerin önemi ülke düzeyinde farklılık göstermektedir; (iii) GSYİH, hem panel hem de ülke düzeyinde borç verme faiz oranları üzerinde en etkili faktördür. Analiz sonuçları, makroekonomik faktörlerin borç verme faiz oranları üzerindeki etkilerini vurgulamaktadır. Bu nedenle, ekonomik büyümenin düşük seviyeli borç verme faiz oranları ile desteklenebilmesi için, makroekonomik göstergelerin faiz oranları üzerindeki olumsuz etkilerini azaltacak uygun politikaların uygulanması gerekmektedir. Bu nedenle, gelişmekte olan ülkeler düşük seviyeli borç verme faiz oranlarından yararlanabilirler.

Anahtar Kelimeler

Borçlanma Faiz Oranı, Makroekonomik Faktörler, Gelişmekte Olan Ülkeler, Panel Data

Destekleyen Kurum

yok

Proje Numarası

yok

Teşekkür

yok

The Effects of Macroeconomic Indicators on Lending Interest Rates: Evidence from BRICST, MINT, and Fragile Five Countries

Öz

This study analyzes the effects of the macroeconomic indicators on the lending interest rates in the leading emerging countries by considering the significance of the interest rates for economic growth since high-level interest rates decrease economic growth and volatile interest rates deteriorate economic stability. In this context, the lending interest rate is considered as the dependent variable; foreign exchange (FX) rates, gross domestic product (GDP), and inflation are included as the independent variables that are the main macroeconomic indicators; annual data from 1990 to 2019 are used, and the panel data analysis is applied. The empirical analysis results reveal that (i) FX rates, GDP, and inflation have a significant effect on the lending interest rates at the panel level; (ii) the significance of these macroeconomic indicators vary at the country level; (iii) GDP is the most influential factor on the lending interest rates at both panel and the country level. The analysis results underline the effects of macroeconomic factors on the lending interest rates. Therefore, countries should apply appropriate policies to lessen the adverse effects of the macroeconomic indicators on the interest rates so that economic growth can be supported by low-level lending interest rates. Hence, emerging countries can benefit from low-level lending interest rates.

Anahtar Kelimeler

Lending Interest Rate, Macroeconomic Factors, Emerging Countries, Panel Data

Proje Numarası

yok

Kaynakça

• Akıncı, M., & Yılmaz, Ö. (2016). Enflasyon-Faiz Oranı Takası: Fisher Hipotezi Bağlamında Türkiye Ekonomisi İçin Dinamik En Küçük Kareler Yöntemi. Sosyoekonomi, 24(27), 33-56.
• Arora, V., & Tanner, M. (2013). Do Oil Prices Respond to Real Interest Rates? Energy Economics, 36, 546-555.
• Berument, H., (1999). The Impact of Inflation Uncertainty on Interest Rates in the UK. Scottish Journal of Political Economy, 46(2), 207-218.
• Berument, H., Kılınç, Z., & Özlale, U. (2004). The Effects of Different Inflation Risk Premiums on Interest Rate Spreads. Physica A: Statistical Mechanics and Its Applications, 333, 317-324.
• Berument, H., & Malatyalı, K. (2001). Determinants of Interest Rates in Turkey. Russian & East European Finance and Trade, 37(1), 5-16.
• Breusch, T. S., & Pagan, A. R. (1980). The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics. The Review of Economic Studies, 47(1), 239-253.
• CBRT. (2021). Electronic Data Distribution System (EVDS), https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket 07.01.2021.
• Chirwa, E. W., & Mlachila, M. (2004). Financial Reforms and Interest Rate Spreads in the Commercial Banking System in Malawi. IMF Staff Papers, 51(1), 96-122.
• Cottarelli, C., & Kourelis, A. (1994). Financial Structure, Bank Lending Rates, and The Transmission Mechanism of Monetary Policy. IMF Staff Papers, 41(4), 587-623.
• Depren, Ö., Kartal, M. T., & Kılıç Depren, S. (2021a). Macroeconomic Determinants of Interest Rates in BRICST, MINT, and Fragile Five Countries: Evidence from Quantile Regression Analysis. Studies in Business and Economics, 16(1), 51-67.
• Depren, Ö., Kartal, M. T., & Kılıç Depren, S. (2021b). Recent Innovation in Benchmark Rates (BMR): Evidence from Influential Factors on Turkish Lira Overnight Reference Interest Rate with Machine Learning Algorithms. Financial Innovation, 7(1), 1-20.
• Dinçer, H., Yüksel, S., & Kartal, M. T. (2019). The Role of Bank Interest Rate in the Competitive Emerging Markets to Provide Financial and Economic Stability. Ekonomi, İşletme ve Maliye Araştırmaları Dergisi, 1(2), 103-120.
• Eberhardt, M., & Bond, S. (2009). Cross-Section Dependence in Nonstationary Panel Models: A Novel Estimator. In The Nordic Econometrics Meeting, Lund, Sweden.
• Egert, B., Crespo-Cuaresma, J., Reininger, T. (2007). Interest Rate Pass-through in Central and Eastern Europe: Reborn from Ashes Merely to Pass Away? Journal of Policy Model, 29(2), 209-225.
• Ekinci, E. B. M., Alhan, A., & Ergör, Z. B. (2016). Parametrik Olmayan Regresyon Analizi: Faiz Oranı, Enflasyon ve Döviz Kuru Arasındaki İlişkinin İncelenmesi Örneği. Bankacılık ve Sigortacılık Araştırmaları Dergisi, 2(9), 28-37.
• Entrop, O., Von la Hausse, L., & Wilkens, M. (2017). Looking Beyond Banks’ Average Interest Rate Risk: Determinants of High Exposures. The Quarterly Review of Economics and Finance, 63, 204-218.
• Gopinathan, R., & Durai, S. R. S. (2019). Stock Market and Macroeconomic Variables: New Evidence from India. Financial Innovation, 5(1), 1-17.
• Gupta, P., & Goyal, A. (2015). Impact of Oil Price Fluctuations on Indian Economy. OPEC Energy Review, 39(2), 141-161.
• Hol, S. (2006). Determinants of Long-Term Interest Rates in the Scandinavian Countries. Norway Statistics Research Department Discussion Papers, No. 469.
• Holston, K., Laubach, T., & Williams, J. C. (2017). Measuring the Natural Rate of Interest: International Trends and Determinants. Journal of International Economics, 108, 59-75.
• Kartal, M. T., İbiş, C., & Çatıkkaş, Ö. (2018a). Adequacy of Audit Committees: A Study of Deposit Banks in Turkey. Borsa İstanbul Review, 18(2), 150-165.
• Kartal, M., Depren, S. K., & Depren, Ö. (2018b). Türkiye’de Döviz Kurlarını Etkileyen Makroekonomik Göstergelerin Belirlenmesi: MARS Yöntemi ile Bir İnceleme. MANAS Sosyal Araştırmalar Dergisi, 7(1), 209-229.
• Kartal, M. T. (2019). Türkiye’de Kredi Faizlerini Etkileyen Faktörlerin Belirlenmesi: MARS Yöntemiyle Bir Analiz. Bankacılar Dergisi, (108), 24-41.
• Kartal, M. T. (2020). Determining Affecting Macroeconomic Indicators on Interest Rates in Emerging Countries: A Comparative Examination upon China, Brazil and Turkey with Multivariate Adaptive Regression Splines (MARS). Uygulamalı Ekonomi ve Sosyal Bilimler Dergisi, 2(1), 23-41.
• Kartal, M. T., Çeti̇n, A., & Tan, Ö. F. (2021). Kredi/Mevduat Oranı (KMO) Gelişiminin Kredi Faiz Oranlarına Etkisi: Nedensellik Analizi ile Türkiye Üzerine Bir inceleme. Ardahan Üniversitesi İİBF Dergisi, 3(1), 1-8.
• Kaufmann, S., & Valderrama, M. T. (2008). Bank Lending in Germany and the UK: Are There Differences between A Bank‐Based and A Market‐Based Country? International Journal of Finance & Economics, 13(3), 266-279.
• Lin, X., Wang, C., Wang, N., & Yang, J. (2018). Investment, Tobin’s Q, and Interest Rates. Journal of Financial Economics, 130(3), 620-640.
• Liu, K. (2019). The Determinants of China's Lending Rates and Interest Rates Pass-Through: A Cointegration Analysis. Research in Economics, 73(1), 66-71.
• Lyashenko, A., & Mercurio, F. (2019). Looking Forward to Backward-Looking Rates: A Modeling Framework for Term Rates Replacing LIBOR. Available at SSRN 3330240.
• Maitra, B. (2017). Monetary and Fiscal Factors in Nominal Interest Rate Variations in Sri Lanka Under a Deregulated Regime. Financial Innovation, 3(1), 1-17.
• Mehra, Y. P. (1996). Monetary Policy and Long-Term Interest Rates. Federal Reserve Bank Richmond Economic Quarterly, 82(3), 27-49.
• Mojon, B. (2000). Financial Structure and The Interest Rate Channel of ECB Monetary Policy. ECB Working Papers, No. 40.
• Muinhos, M. K., & Nakane, M. I. (2006). Comparing Equilibrium Real Interest Rates: Different Approaches to Measure Brazilian Rates. Central Bank of Brazil Working Paper, 101, 1-22.
• Obeng, S. K., & Sakyi, D. (2017). Macroeconomic Determinants of Interest Rate Spreads in Ghana. African Journal of Economic and Management Studies, 8(1), 76-88.
• Özdemir, N., & Altınöz, C. (2012). Determinants of Interest Rate Pass-Through for Emerging Market Economies: The Role of Financial Market Structure. International Advances in Economic Research, 18, 397-407.
• Paramati, S. R., & Gupta, R. (2013). An Empirical Relationship between Exchange Rates, Interest Rates and Stock Returns. European Journal of Economics, Finance and Administrative Sciences, 56, 168-181.
• Perera, A., & Wickramanayake, J. (2016). Determinants of Commercial Bank Retail Interest Rate Adjustments: Evidence from a Panel Data Model. Journal of International Financial Markets, Institutions and Money, 45, 1-20.
• Pesaran, M. H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. CESifo Working Paper Series No:1229; IZA Discussion Paper, No. 1240.
• Pesaran, M. H. (2007). A Simple Panel Unit Root Test in The Presence of Cross‐Section Dependence. Journal of Applied Econometrics, 22(2), 265-312.
• Pesaran, M. H., & Yamagata, T. (2008). Testing Slope Homogeneity in Large Panels. Journal of Econometrics, 142(1), 50-93.
• Ratti, R., & Vespignani, J. L. (2016). Oil Prices and Global Factor Macroeconomic Variables. Energy Economics, 59, 198-212.
• Salim, A. (2019). Macroeconomic Determinants of Interest Rate Volatility in Indonesia: A Structural VAR Analysis. International Journal of Applied Economics, Finance & Accounting, 5(2), 101-108.
• Sever, E., & Mızrak, Z. (2007). Döviz Kuru, Enflasyon ve Faiz Oranı Arasındaki İlişkiler: Türkiye Uygulaması. Sosyal Ekonomik Araştırmalar Dergisi, 7(13), 264-283.
• Shaukat, B., Zhu, Q., & Khan, M. I. (2019). Real Interest Rate and Economic Growth: A Statistical Exploration for Transitory Economies. Physica A: Statistical Mechanics and Its Applications, (534), 1-22. Statista. (2021). Indonesia CPI Data, https://www.statista.com/statistics/320156/inflation-rate-in-indonesia, 07.01.2021.
• Swamy, P. A. (1970). Efficient Inference in A Random Coefficient Regression Model. Econometrica: Journal of the Econometric Society, 38(2), 311-323.
• Torun, M., & Karanfil, M. (2016). 1980-2013 Dönemi Türkiye Ekonomisinde Enflasyon ve Faiz Oranı Arasındaki İlişki. Yönetim Bilimleri Dergisi, 14(27), 473-490.
• Tumwine, S., Sejjaaka, S., Bbaale, E., & Kamukama, N. (2018). Determinants of Interest Rate in Emerging Markets: A Study of Banking Financial Institutions in Uganda. World Journal of Entrepreneurship, Management and Sustainable Development, 14(3), 267-290.
• Westerlund, J. (2008). Panel Cointegration Tests of the Fisher Effect. Journal of Applied Econometrics, 23(2), 193-23.
• WB. (2021). Open Data, https://data.worldbank.org/indicator, 07.01.2021.