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Dergiler / Central Bank Review / 2018 / Cilt: 18 - Sayı: 2

Effectiveness of monetary and macroprudential shocks on consumer credit growth and volatility in Turkey

Meltem Gülenay CHADWİCK
Sayfa
60–83
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Besides, this effect is more prominent when macroprudential tools are administered in coordination with monetary policy.

📌 3 Maddede Bu Makale

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Amaç & Hipotez: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.
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Temel Bulgular & Veri: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.
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Sonuç & Katkı:Besides, this effect is more prominent when macroprudential tools are administered in coordination with monetary policy.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

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.

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Bu Makaleye Atıf Yap

CHADWİCK, M. G. (2018). Effectiveness of monetary and macroprudential shocks on consumer credit growth and volatility in Turkey. Central Bank Review, Cilt: 18 - Sayı: 2, 60–83. https://ajindex.com/articles/142740

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  1. 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.
  2. 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 stocha