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GDP Growth and Credit Data

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  • Ermişoğlu, Ergun
  • Akcelik, Yasin
  • Oduncu, Arif

Abstract

It is a well-known fact that there is a strong relationship between bank credits and economic activity. Thus, it is a reasonable question whether credit data can be used in nowcasting GDP growth. It is important for policymakers to make on-time decisions with the most available data and nowcasting is an important tool when policies in question are needed to be made based on current figures. Most macroeconomic variables are made available to public after a considerable delay; however, banking credit data may be very valuable for the early estimate of current GDP as it is available only with a few days delay. In this paper, we aim to investigate the feasibility of using credit data in explaining the variability in Turkish GDP growth and as well as nowcasting it. For this purpose, we use credit impulse and new borrowing, two measures of credit flows. We show that credit impulse and new borrowing are significant in explaining the pattern of the Turkish GDP growth and they have significant contribution to nowcasting it.

Suggested Citation

  • Ermişoğlu, Ergun & Akcelik, Yasin & Oduncu, Arif, 2013. "GDP Growth and Credit Data," MPRA Paper 46613, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:46613
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    References listed on IDEAS

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    6. Huseyin Cagri Akkoyun & Mahmut Gunay, 2012. "Nowcasting Turkish GDP Growth," Working Papers 1233, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    7. A. Hakan Kara & S. Tolga Tiryaki, 2013. "Kredi Ivmesi ve Iktisadi Konjonktur," CBT Research Notes in Economics 1310, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
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    Cited by:

    1. Oguzhan Cepni & Yavuz Selim Hacihasanoglu & Muhammed Hasan Yilmaz, 2020. "Credit decomposition and economic activity in Turkey: A wavelet-based approach," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(3), pages 109-131.
    2. Fatih Özatay, 2016. "Turkey’s Distressing Dance With Capital Flows," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(2), pages 336-350, February.

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    More about this item

    Keywords

    Nowcasting GDP; Credit Impulse; New Borrowing;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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