Monetary Polıcy Interest Rate Channel in Turkey: Toda-Yamamoto Method (2011-2018)

Year 2020, Volume: 4 Issue: 2, 311 - 331, 31.05.2020

Leyla Baştav

https://doi.org/10.25295/fsecon.2020.02.004

Cited By: 1

Abstract

This study analyzes the channel through which monetary policy has affected real economic activity in Turkey during 2011Q1-2018Q2. There is a novel monetary policy stance of the Turkish Central Bank (TCMB) from 2011 on, after initiation of explicit inflation targeting from 2006 on. Within the framework financial stability is added to previous target of price stability and diversified interest rates and liquidity measures have been introduced as new monetary policy tools along with classical short-term interest rate. Existence of interest channel has been tested by two causality methods, namely: Granger and Toda-Yamamoto. Results imply that interest channel is not operative in Turkey in the traditional Keynesian sense, bu rather higher demand leads to higher prices (and vice versa) affecting interest rates in return. Findings do not comply with findings of the previous studies that interest rate channel is effective in Turkey.

Keywords

monetary transmission, interest rate channel, toda yamamoto method, granger causality

References

• Aktaş, Z. et al. (2009). Transmission of Monetary Policy in Turkey: Effects of Monetary Policy on Financial Markets. İktisat İşletme ve Finans. 24(278) 2009 pp. 9-24.
• Alimi S.R., Ofonyelu, C.C. (2013). Toda-Yamamoto Causality Test Between Money Market Interest Rate and Expected Inflation: The Fisher Hypothesis Revisited. European Scientific Journal. March 2013 ed. Vol. 9, No.7.
• Başçı, E., Özel, Ö. and Sarıkaya, Ç. (2007).The Monetary Transmission Mechanism in Turkey: New Developments. Research and Monetary Policy Department WP. No. 07/04.
• Bernanke, B. (1988). Monetary Policy Transmission: Through Money or Credit? Business Review. November/December 1988.
• Bernanke, B.S., Gertler, M. (1995). Inside the Black Box: The Credit Channel of Monetary Policy Transmission. Journal of Economic Perspectives. Vol.9, No.4- Fall 1995-pp. 27-48.
• Berument, H., Froyen, R.T. (2006). Monetary Policy and Long Term US Interest Rates. Journal of Macroeconomics. 28 (2006) 737-751.
• Bhuiyan, R., Lucas, R.F. (2007). Real and Nominal Effects of Monetary Policy Shocks. Canadian Journal of Economics. 40 (2) 679-702.
• Butzen, P., Fuss, C., Philip, V. (2001), The Interest Rate and Credit Channels in Belgium: An Investigation with Micro-Level Firm Data. European Central Bank Working Paper 17.
• Büyükakın, F., Bozkurt, H. and Cengiz, V. (2009). Analysis of the Interest Rate Channel of Monetary Transmission with Granger Causality and Toda-Yamamota Method in Turkey. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. Sayı: 33, Temmuz-Aralık 2009, 101-118.
• Chirink, R.S., Kalckreuth, U.V. (2003). On the German Transmission Mechanism: Interest Rate and Credit Channels for Investment Spending. CES ifo WP No. 838: 1-43.
• Coffinet, J. (2005). The Single Monetary Policy and the Interest Rate Channel in France and the Euro Area. Banque de France Bulletin Digest. 139 july, pp. 7-16.
• Dritsaki, C. (2017). Toda-Yamamoto Causality Test Between Inflation and Nominal Interest Rates: Evidence from Three Countries of Europe. International Journal of Economics and Financial Issues. 7(6), 120-129.
• Engle, R.,F., Granger, C.W.J. (1987). Cointegration and Error Correction: Representation, Estimation and Testing. Econometrica. 55, pp. 391-407.
• Erdoğan, S., Yıldırım, D.Ç (2010). Is There Interest Rate Channel for Monetary Policy in Turkey. METU Studies in Development. Vol.37 No.3
• Gujarati, D.,N., (2006). Essential of Econometrics. 3rd Edition, MacGraw Hill.
• Hubbard, R.G. (1995). Is There a Credit Channel for Monetary Policy? Federal Reserve Bank of Saint Louis. May/June 1995.
• İnal, D.G. (2006). The Effect of Interest Rate Decisions on the Long-Term Interest Rate in Turkey. TCMB, Specialist Thesis.
• Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica. 59, pp. 1551-1580.
• Johansen, S., Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Cointegration-With Aplications for the Demand for Money. Oxford Bulletin of Economics and Statistics. 52, 2: pp. 169-210.
• Kara, H., et al. (2007): “Estimating the Output Gap in a Changing Economy.” Southern Economic Journal. 74 (1)
• Keyder, N., Ertunga, D.İ. (2012). Para, Teori, Politika, Uygulama. Ankara: Seçkin Yayıncılık ve Dağıtım.
• Mehrotra, A.N. (2007). Exchange and ınterest Rate Channels in a Deflationary era: Evidence from Japan Hong Kong and China. Journal of Comparative Economics. 35 pp: 188-210
• Mishkin, F.S. (2004). Economics of Money, Banking and the Financial Markets. USA: Addison and Wesley.
• ------------------ (1995). Symposium on the Monetary Transmission Mechanism. Journal of Economic Perspectives. Vol.9, No.4- Fall 1995-pp. 3-10.
• Mojon, B., Peersman, G. (2001). A VAR Description of the Effects of Monetary Policy in the Individual Countries of the Euro Area. ECB Working Paper. No.92 December, 2001.
• Özatay, F. (2011). The New Monetary Policy of the Central Bank: Two Targets, Two Intermediate Targets, Three Tools. İktisat İşletme ve Finans. 26 (302) 2011: 27-43.
• Petursson, T.G. (2001). The transmission Mechanism of Monetary Policy: Analysing the Financial Market Pass-Through. Central Bank of Iceland WP. No.14.
• Press Statement About Operational Framework of the Monetary Policy. <https://www.tcmb.gov.tr/wps/wcm/connect/tr/tcmb+tr/main+menu/duyurular/basin/2018/duy2018-21> Review. 6 (3): 6-13.
• Reyes, L.O. (2002). A VAR analysis of the Monetary Transmission Mechanism in the USA.
• Saraç, B.S., Uçan, O. (2013). The Interest Rate Channel in Turkey: An Investigation with Kalman Filter Approach. International Journal of Economics and Financial Issues. Vol.3, No.4, 2013, pp.874-884.
• Sellon, G.H. (2002), The Changing U.S. Financial System: Some Implications for the Monetary Transmission Mechanism. Federal Reserve Bank of Kansas Economic Review, 1, 5-35.
• State Institute of Statistics Database. <http://www.tuik.gov.tr>, 2019, December.
• Taylor, J.B. (2000). The Monetary Transmission Mechanism and the Evaluation of Monetary Policy Rules. Working Papers Central Bank of Chile 87.
• --------------- (1995). The Monetary Transmission Mechanism: An Empirical Framework. Journal of Economic Perspectives. Vol.9, No.4- Fall 1995-pp. 11-26.
• Toda, H.Y., Yamamoto, T. (1995). Statistical Inference in Vector Autoregressions with Possibly Integrated Processes. Journal of Econometrics. 66, pp.225-250.
• Tunalı, H., Yalçınkaya, Y. (2017). International Journal of Economic Studies. Granger Causality Analysis Between US Dollar, Inflation and Weighted Average Cost of the CBRT Funding. International Journal of Economic Studies. Sept. 2017, Vol.3, Iss: 3.
• Turkish Central Bank Database. <http://www.tcmb.gov.tr>, 2019, December.
• Üçer, M. (2011). Observations on Recent Monetary Policy Measures. İktisat İşletme ve Finans. 26 (302) May, 2011.
• Yue, Y., Zhou, S. (2007). Empirical Analysis of Monetary Policy Transmission. Chinese Business