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Bank Lending Channel in Slovenia: Panel Data Analysis

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  • Meta Ahtik

Abstract

Channels through which monetary policy affects aggregate demand can be divided into three groups: traditional interest rate channel, other asset price channels and credit channel composed of balance sheet channel (named also broad credit channel), only recently separated bank capital channel and bank lending channel. Banks face troubles in keeping their present or acquiring new financial sources, when central bank tightens its monetary policy. Banks characterized by differences in size, capitalization, liquidity and ownership face different levels of informational asymmetry and are therefore differently affected by changes in monetary policy. If larger, better capitalized, more liquid, state owned and/or domestically owned banks respond weaker to changes in monetary policy it is possible to argue that bank lending channel is effective. This hypothesis is tested on a panel of annual data for individual Slovenian banks in the period between 1993 and 2007 using general method of moments. Results largely confirm the existence of the bank lending channel in Slovenia.

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  • Meta Ahtik, 2012. "Bank Lending Channel in Slovenia: Panel Data Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2012(1), pages 50-68.
    • Handle: RePEc:prg:jnlpep:v:2012:y:2012:i:1:id:410:p:50-68
    DOI: 10.18267/j.pep.410
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    2. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2015. "An analysis of involuntary excess reserves, monetary policy and risk-taking behaviour of Chinese Banks," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 63-72.
    3. Vít Pošta & Zdeněk Pikhart, 2015. "Financial Risk and Real Variables: Evidence Based on a SVAR Analysis of the Czech Economy," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(5), pages 516-537.
    4. Thai V. H. Nguyen & Agyenim Boateng & Tra Thi Thu Pham, 2019. "Involuntary excess reserve and heterogeneous transmission of policy rates to bank lending rates in China," Empirical Economics, Springer, vol. 57(3), pages 1023-1044, September.
    5. repec:prg:jnlpep:v:preprint:id:513:p:1-22 is not listed on IDEAS
    6. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2013. "The impact of excess reserves beyond precautionary levels on Bank Lending Channels in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 358-377.

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    More about this item

    Keywords

    Slovenia; banking; monetary transmission mechanism; bank lending channel; panel data analysis;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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