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Credit spreads and the links between the financial and real sectors in a small open economy: the case of the Czech Republic

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  • Konečný, Tomáš
  • Babecká Kucharčuková, Oxana

Abstract

Various approaches have been employed to explore the possibility of non-linear feedback between the real and financial sector. The present study focuses on the impact of real shocks on selected financial sector indicators, and the responses of the real economy to impulses emanating from the financial sector. We estimate the threshold Bayesian VAR with block restrictions and the credit spread as a threshold variable using the example of the Czech Republic. We find that while there is no evidence of asymmetric effects across positive and negative shocks, the responses of the financial sector to real shocks tend to differ in low and high credit spread regimes. Responses in the opposite direction (i.e. from the financial sector to the real economy) are procyclical and similar irrespective of regime. A positive shock to credit and a negative shock to the NPL increase industrial production over the entire time horizon. The direct impact of foreign factors on lending seems to be rather limited. JEL Classification: E51, C15, C32

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  • Konečný, Tomáš & Babecká Kucharčuková, Oxana, 2014. "Credit spreads and the links between the financial and real sectors in a small open economy: the case of the Czech Republic," Working Paper Series 1730, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20141730
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    More about this item

    Keywords

    credit; non-linearities; small open economy;
    All these keywords.

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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