This paper proposes a panel VAR model to uncover the effect of monetary policy and macroprudential tightening probability on general purpose loans, housing loans, vehicle loans, credit cards and their respective volatilities in Turkey. To conduct our analysis, ﬁrst, we compare a number of stochastic volatility models using our loan and credit cardseries in a formal Bayesian model comparison exercise, in order to determine the best volatility model for our series. Second we disclose the latent probability of macroprudential tightening from the binary information of policy episodes, using an instrumental variable probit model estimated by conditional maximum likelihood with heteroscedasticity robust standard errors. Lastly we estimate the dynamic impact of monetary policy and macroprudential measures using a panel VAR, incorporating the latent probability of tightening episodes, credit growth, industrial production growth, loan rates, inﬂation and credit growth volatilities into the endogenous system of equations. We conclude that macroprudential tightening is effective in dampening credit growth, credit growth volatility and reducing consumer price inﬂation. Besides, this effect is more prominent when macroprudential tools are administered in coordination with monetary policy.
Agenor, P.-R., Alper, K., Pereira da Silva, L.A., 2014. Sudden floods, macroprudential regulation and stability in an open economy. J. Int. Money Finance 48 (PA), 68e100.
Aguirre, H., Blanco, E., 2015. Credit And Macroprudential Policy In An Emerging Economy: A Structural Model Assessment. Bank for International Settlements. Working Paper No. 504.
Aiyar, S., Calomiris, C.W., Wieladek, T., 2014. Does macro-prudential regulation leak? evidence from a UK policy experiment. J. Money Credit Bank. 46 (s1), 181e214.
Akinci, O., Olmstead-Rumsey, J., January 2018. How effective are macroprudential policies? an empirical investigation. J. Financ. Intermediation 33, 33e57.
Alpanda, S., Cateau, G., Meh, C., 2014. A Policy Model to Analyze Macroprudential Regulations and Monetary Policy. Bank of Canada Working Paper Series 2014-6.
Altunbas, Y., Binici, M., Gambacorta, L., 2018. Macroprudential policy and bank risk. J. Int. Money Finance 81, 203e220.
Angelini, P., Neri, S., Panetta, F., 2012. Monetary And Macroprudential Policies. ECB Working Paper Series 1449.
Arellano, M., Bover, O., 1995. Another look at the instrumental variable estimation of error-components models. J. Econom. 68 (1), 29e51.
Baum, C., Wiggins, V., Stillman, S., Schaffer, M., 2016. Overid: Stata Module to Calculate Tests of Overidentifying Restrictions after Ivreg2, Ivreg29, Ivregress, Ivprobit, Ivtobit, Reg3.
Bennani, T., Couaillier, C., Devulder, A., Gabrieli, S., Idier, J., Lopez, P., Piquard, T., Scalone, V., 2017. An Analytical Framework To Calibrate Macroprudential Policy. Banque de France Working Paper No. 648.
Brunnermeier, M.K., Sannikov, Y., 2016. The I Theory of Money. National Bureau of Economic Research. Technical report.
Bruno, V., Shim, I., Shin, H.S., 2017. Comparative assessment of macroprudential policies. J. Financ. Stabil. 28, 183e202.
Cakir, M., 2017. A conceptual design of “what and how should a proper macro-prudential policy framework be?” A globalistic approach to systemic risk and procuring the data needed. IFC Bulletins chapters 45.
Cerutti, E., Claessens, S., Laeven, L., 2015. The Use And Effectiveness Of Macro-prudential Policies: New Evidence. IMF Working Paper 15(61).
Cerutti, E., Claessens, S., Laeven, L., 2017. The use and effectiveness of macro-prudential policies: new evidence. J. Financ. Stabil. 28, 203e224.
Chan, J.C., 2013. Moving average stochastic volatility models with application to inflation forecast. J. Econom. 176 (2), 162e172.
Chan, J.C., 2017. The stochastic volatility in mean model with time-varying pa-rameters: an application to inflation modeling. J. Bus. Econ. Stat. 35 (1), 17e28.
Chan, J.C., Eisenstat, E., 2015. Marginal likelihood estimation with the cross-entropy method. Econom. Rev. 34 (3), 256e285.
Chan, J.C., Grant, A.L., 2016. Modeling energy price dynamics: garch versus sto-chastic volatility. Energy Econ. 54, 182e189.
Chen, H., Chow, K., Tillmann, P., 2017. The effectiveness of monetary policy in China: evidence from a qual var. China Econ. Rev. 43, 216e231.
Claessens, S., 2015. An overview of macroprudential policy tools. Ann. Rev. Financ. Econ. 7 (1), 397e422.
Collard, F., Dellas, H., Diba, B., Loisel, O., 2017. Optimal monetary and prudential policies. Am. Econ. J. Macroecon. 9 (1), 40e87.
Dell'Ariccia, G., Laeven, L., Suarez, G.A., 2017. Bank leverage and monetary policy's risk-taking channel: evidence from the United States. J. Finance 72 (2), 613e654.
El-Shagi, M., von Schweinitz, G., 2016. Qual var revisited: good forecast, bad story. J. Appl. Econ. 19 (2), 293e321.
Erdem, F., Ozen, E., Unalmis, I., 2017. Are Macroprudential Policies Effective Tools to Reduce Credit Growth in Emerging Markets? Research and Monetary Policy Department, Central Bank of the Republic of Turkey. Technical report.
Eroglu, E., 2018. Makroihtiyati Politikalar: Turkiye Uygulamasi Ve Uygulamanin Hanehalki Borcluluguna Etkileri. Mimeo. Central Bank of the Republic of Turkey.
Fendoglu, S., 2017. Credit cycles and capital flows: effectiveness of the macro-prudential policy framework in emerging market economies. J. Bank. Finance 79, 110e128.
Galati, G., Moessner, R., 2013. Macroprudential policyea literature review. J. Econ. Surv. 27 (5), 846e878.
Galati, G., Moessner, R., 2017. What do we know about the effects of macro-prudential policy? Economica.
Gambacorta, L., Murcia, A., 2017. The Impact Of Macroprudential Policies And Their Interaction With Monetary Policy: An Empirical Analysis Using Credit Registry Data. BIS Working Papers No 636.
Gould, D.M., Melecky, M., Panterov, G., 2016. Finance, growth and shared pros-perity: beyond credit deepening. J. Pol. Model. 38 (4), 737e758.
Greenwood-Nimmo, M., Tarassow, A., 2016. Monetary shocks, macroprudential shocks and financial stability. Econ. Modell. 56, 11e24.
Grydaki, M., Bezemer, D., 2013. The role of credit in the great moderation: a multivariate garch approach. J. Bank. Finance 37 (11), 4615e4626.
Hamilton, J.D., 1994. Time Series Analysis, vol. 2. Princeton university press Princeton.
Jimenez, G., Ongena, S., Peydro, J.-L., Saurina, J., 2017. Macroprudential policy, countercyclical bank capital buffers, and credit supply: evidence from the Spanish dynamic provisioning experiments. J. Polit. Econ. 125 (6), 2126e2177.
Kahou, M.E., Lehar, A., 2017. Macroprudential policy: a review. J. Financ. Stabil. 29, 92e105.
Kara, H., 2016a. A brief assessment of Turkey's macroprudential policy approach: 2011e2015. Cent. Bank Rev. 16 (3), 85e92.
Kara, H., 2016b. Turkey's Experience with Macroprudential Policy. BIS Papers (No 86).
Kim, K., Lee, J.Y., 2017. Estimating the effects of fx-related macroprudential policies in korea. Int. Rev. Econ. Finance 50, 23e48.
Koop, G., 2003. Bayesian Econometrics. Wiley & Sons, New York.
Koopman, S.J., Hol Uspensky, E., 2002. The stochastic volatility in mean model: empirical evidence from international stock markets. J. Appl. Econom. 17 (6), 667e689.
Lambertini, L., Mendicino, C., Punzi, M.T., 2013. Leaning against boomebust cycles in credit and housing prices. J. Econ. Dynam. Contr. 37 (8), 1500e1522.
Lim, C. H., A. Costa, F. Columba, P. Kongsamut, A. Otani, M. Saiyid, T. Wezel, and X. Wu. Macroprudential Policy: what Instruments and How to Use Them? Lessons from Country Experiences. IMF Working Paper.
Love, I., Zicchino, L., 2006. Financial development and dynamic investment behavior: evidence from panel var. Q. Rev. Econ. Finance 46 (2), 190e210.
Mishkin, F.S., Schmidt-Hebbel, K., 2007. Does Inflation Targeting Make a Difference? NBER Working Paper No. 12876.
Tovar Mora, C.E., Garcia-Escribano, M., Vera Martin, M., 2012. Credit Growth and the Effectiveness of Reserve RequiTovar Morarements and Other Macroprudential Instruments in Latin America. IMF Working Paper WP/12/142.
Svensson, L.E., 2017. Cost-benefit analysis of leaning against the wind. J. Monetary Econ. 90 (C), 193e213.
Tillmann, P., 2015. Estimating the effects of macroprudential policy shocks: a qual var approach. Econ. Lett. 135, 1e4.
Wooldridge, J.M., 2010. Econometric Analysis of Cross Section and Panel Data. MIT press.