Araştırma Makalesi

Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model

Cilt: 3 Sayı: 2 31 Aralık 2025
PDF İndir
TR EN

Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model

Abstract

The implied real interest rate rule, developed based on the Taylor rule, assumes that non-monetary factors, in addition to the inflation gap and output gap, are among the determinants of central bank interest rate decisions in the long-run. Accordingly, high-frequency shocks to macroeconomic variables influence the direction of the policy interest rate. Furthermore, from an empirical perspective, the Bayesian time varying parameter vector autoregressive (TVP-VAR) model, which restricts overparameterization, stands out for its ability to identify uncertainties related to the potentially changing structure of monetary policy over time. In the Bayesian TVP-VAR model, both the parameters determined by the short-run trend and the shocks to these parameters are analyzed by interpreting them with impulse-response functions over a specific time horizon. For this purpose, the responses of the CBRT policy interest rate to shocks in selected macroeconomic variables based on the implicit real interest rate rule were analyzed using the Bayesian TVP-VAR method over the period 2003:q1-2024:q4, determined in line with developments in the global economy and the Turkish economy. The findings indicate that proactive responses emerged in 2015q3, 2020q1 and 2024q4, a period characterized by global deflationary trends, exchange rate vulnerabilities, and uncertainty surrounding the CBRT monetary policies. Thus, unobservable and time-varying coefficients in non-stationary macroeconomic time series are perceived by monetary policy authorities as quantitative results predicting a gradual change through Bayesian TVP-VAR models. This is believed to contribute to the identification of alternative policy instruments during regime periods related to monetary policy.

Keywords

Monetary Policy , Implied Real Interest Rate Rule , CBRT , Bayesian Time Varying Parameter , Macroeconomic Shocks

Kaynakça

  1. Arestis, P. & Chortareas, G.E. (2007). Natural equilibrium real interest rate estimates and monetary policy design. Taylor and Francis, 29 (4): 521-643. https://www.jstor.org/stable/4539036
  2. Arratibel, O. & Michaelis, H. (2013). The impact of monetary policy and exchange rate shocks in Poland: evidence from a time-varying VAR. Munich Discussion Paper, 2013 (36): 1-37. https://doi.org/10.5282/ubm/epub.21088
  3. Aunsri, N. & Taveeapiradeecharoen, P. (2020). A time-varying Bayesian compressed vector autoregression for macroeconomic forecasting. In IEEE Access, 8: 192777-192786. https://doi.org/10.1109/ACCESS.2020.3033203
  4. Bekiros, S. (2014). Forecasting with a state space time-varying parameter VAR model: Evidence from the Euro area. Economic Modelling, 38 (2014): 619–626. https://doi.org/10.1016/j.econmod.2014.02.015
  5. Bernanke, B.S. & Woodford, M. (1997). Inflation forecastand monetary policy. NBER Working Paper, 6157: 1-66. https://doi.org/10.3386/w6157 Boehm, C.E. & House, C.L. (2014). Optimal Taylor rules in New Keynesian models. NBER Working Paper, 20237: 1-39. https://doi.org/10.3386/w20237
  6. Central Bank of the Republic of Türkiye (CBRT). (2025). Statistics. https://www.tcmb.gov.tr/wps/wcm/connect/ TR/TCMB+TR/Main+Menu/Istatistikler
  7. Chan, J. C. C. & Eisenstat, E. (2015). Bayesian model comparison for time-varying parameter VARs with stochastic volatility. Journol of Applied Econometrics, 2018(33): 509-532. https://doi.org/10.1002/jae.2617
  8. Clarida, R., Gali, J. & Gertler, M. (2000). Monetary policy rules and macroeconomic stability: evidence and some theory. The Quarterly Journal of Economics, 115: 147-180. http://www.jstor.org/stable/2586937
  9. Ciccarelli, M. & Rebucci, A. (2003). Measuring contagion with a Bayesian, time-varying coefficient model. IMF Working Paper, 03(171): 1-41.http://dx.doi.org/10.2139/ssrn.457531
  10. Cogley, T. & Sargent, T. J. (2005). Drifts and volatilities: monetary policies and outcomes in the post WWII US. Review of Economic Dynamics, 8: 262– 302. https://doi.org/10.1016/j.red.2004.10.009

Kaynak Göster

APA
Sümer, A. L. (2025). Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model. Journal of International Economic and Administrative Studies, 3(2), 23-34. https://izlik.org/JA93MC43BS
AMA
1.Sümer AL. Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model. Journal of International Economic and Administrative Studies. 2025;3(2):23-34. https://izlik.org/JA93MC43BS
Chicago
Sümer, Ayşegül Ladin. 2025. “Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model”. Journal of International Economic and Administrative Studies 3 (2): 23-34. https://izlik.org/JA93MC43BS.
EndNote
Sümer AL (01 Aralık 2025) Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model. Journal of International Economic and Administrative Studies 3 2 23–34.
IEEE
[1]A. L. Sümer, “Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model”, Journal of International Economic and Administrative Studies, c. 3, sy 2, ss. 23–34, Ara. 2025, [çevrimiçi]. Erişim adresi: https://izlik.org/JA93MC43BS
ISNAD
Sümer, Ayşegül Ladin. “Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model”. Journal of International Economic and Administrative Studies 3/2 (01 Aralık 2025): 23-34. https://izlik.org/JA93MC43BS.
JAMA
1.Sümer AL. Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model. Journal of International Economic and Administrative Studies. 2025;3:23–34.
MLA
Sümer, Ayşegül Ladin. “Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model”. Journal of International Economic and Administrative Studies, c. 3, sy 2, Aralık 2025, ss. 23-34, https://izlik.org/JA93MC43BS.
Vancouver
1.Ayşegül Ladin Sümer. Real Interest Rate for CBRT Monetary Policy? Bayesian TVP-VAR Model. Journal of International Economic and Administrative Studies [Internet]. 01 Aralık 2025;3(2):23-34. Erişim adresi: https://izlik.org/JA93MC43BS