IDEAS home Printed from https://ideas.repec.org/p/mnb/wpaper/2006-7.html
   My bibliography  Save this paper

Is there a bank lending channel in Hungary? Evidence from bank panel data

Author

Listed:
  • Csilla Horváth
  • Judit Krekó

    (Magyar Nemzeti Bank)

  • Anna Naszódi

    (Magyar Nemzeti Bank)

Abstract

In this paper we analyze the bank lending channel in Hungary. We provide a brief overview of the theory and the empirical approaches used to investigate the existence of bank lending channel. From the possible methods we use the generally applied approach suggested by Kahsyap and Stein (1995) which relies on discovering asymmetries in changes in the amount of loans to monetary actions in order to isolate supply and demand effects. We estimate an ARDL model where the asymmetric effects are captured by interaction-terms. We find significant asymmetric adjustment of loan quantities along certain bank characteristics. The existence of bank lending channel, and therefore loan supply decisions of banks, can explain these asymmetries. In addition, we do not find any sign for asymmetric loan demand adjustment along these variables. According to these findings, we cannot rule out the existence of the bank lending channel in Hungary.

Suggested Citation

  • Csilla Horváth & Judit Krekó & Anna Naszódi, 2006. "Is there a bank lending channel in Hungary? Evidence from bank panel data," MNB Working Papers 2006/7, Magyar Nemzeti Bank (Central Bank of Hungary).
  • Handle: RePEc:mnb:wpaper:2006/7
    as

    Download full text from publisher

    File URL: http://www.mnb.hu/letoltes/wp2006-7.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    2. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    3. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Petrevski, Goran & Bogoev, Jane, 2012. "Interest rate pass-through in South East Europe: An empirical analysis," Economic Systems, Elsevier, vol. 36(4), pages 571-593.
    2. Konstantins Benkovskis, 2008. "Is there a Bank Lending Channel of Monetary Policy in Latvia? Evidence from Bank Level Data," Working Papers 2008/01, Latvijas Banka.
    3. Brzoza-Brzezina, Michał & Chmielewski, Tomasz & Niedźwiedzińska, Joanna, 2007. "Substitution between domestic and foreign currency loans in Central Europe. Do central banks matter?," MPRA Paper 6759, University Library of Munich, Germany.
    4. Steven Ongena & Ibolya Schindele & Dzsamila Vonnak, 2014. "In Lands of Foreign Currency Credit, Bank Lending Channels Run Through? The Effects of Monetary Policy at Home and Abroad on the Currency Denomination of the Supply of Credit," CERS-IE WORKING PAPERS 1424, Institute of Economics, Centre for Economic and Regional Studies.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Loutskina, Elena, 2011. "The role of securitization in bank liquidity and funding management," Journal of Financial Economics, Elsevier, vol. 100(3), pages 663-684, June.
    2. Abdul Karim, Zulkefly, 2010. "Monetary policy and firms’ investment: Dynamic panel data evidence from Malaysia," MPRA Paper 23962, University Library of Munich, Germany, revised 15 May 2010.
    3. Rahooja, Sabbah & Ali, Asif & Ahmed, Jameel & Hussain, Fayyaz & Rifat, Rizwana, 2014. "Monetary Policy and Bank Hetrogeneity: Effectiveness of Bank Lending Channel in Pakistan," MPRA Paper 60473, University Library of Munich, Germany.
    4. Golodniuk, Inna, 2006. "Evidence on the bank-lending channel in Ukraine," Research in International Business and Finance, Elsevier, vol. 20(2), pages 180-199, June.
    5. Filippo Occhino, 2001. "Monetary Policy Shocks in an Economy with Segmented Markets," Departmental Working Papers 200108, Rutgers University, Department of Economics.
    6. Brissimis, Sophocles N. & Kamberoglou, Nicos C. & Simigiannis, George T., 2001. "Is there a bank lending channel of monetary policy in Greece? Evidence from bank level data," Working Paper Series 104, European Central Bank.
    7. Sandra Eickmeier & Boris Hofmann & Andreas Worms, 2009. "Macroeconomic Fluctuations and Bank Lending: Evidence for Germany and the Euro Area," German Economic Review, Verein für Socialpolitik, vol. 10(2), pages 193-223, May.
    8. Peydró, José-Luis & Jasova, Martina & Mendicino, Caterina & Panetti, Ettore & Supera, Dominik, 2021. "Monetary Policy, Labor Income Redistribution and the Credit Channel: Evidence from Matched Employer-Employee and Credit Registe," CEPR Discussion Papers 16549, C.E.P.R. Discussion Papers.
    9. Virginie Coudert & Benoît Mojon, 1997. "Asymétries financières et transmission de la politique monétaire en Europe," Économie et Prévision, Programme National Persée, vol. 128(2), pages 41-60.
    10. Andrés Felipe Londoño & Jorge Andrés Tamayo & Carlos Alberto Velásquez, 2012. "Dinámica de la política monetaria e inflación objetivo en Colombia: una aproximación FAVAR," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 30(68), pages 14-71, June.
    11. Tobias Adrian & Nellie Liang, 2018. "Monetary Policy, Financial Conditions, and Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 14(1), pages 73-131, January.
    12. Stefano Puddu, 2013. "Real Sector and Banking System: Real and Feedback Effects. A Non-Linear VAR Approach," IRENE Working Papers 13-01, IRENE Institute of Economic Research.
    13. Alexandros Kontonikas & Alexandros Kostakis, 2013. "On Monetary Policy and Stock Market Anomalies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(7-8), pages 1009-1042, September.
    14. Athanasios L. Athanasenas & Constantinos Katrakilidis, 2008. "An Eclectic Causality Model for Income Growth: Evidence from Greece," European Research Studies Journal, European Research Studies Journal, vol. 0(1-2), pages 31-46.
    15. Edwards, Sebastian & Vegh, Carlos A., 1997. "Banks and macroeconomic disturbances under predetermined exchange rates," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 239-278, October.
    16. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2014. "Asymmetric adjustment toward optimal capital structure: Evidence from a crisis," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 226-242.
    17. Ahnert, Toni & Anand, Kartik & König, Philipp Johann, 2022. "Real interest rates, bank borrowing, and fragility," Discussion Papers 48/2022, Deutsche Bundesbank.
    18. Munehisa Kasuya, 2003. "Regime-Switching Approach to Monetary Policy Effects: Empirical Studies using a Smooth Transition Vector Autoregressive Model," Bank of Japan Working Paper Series Research and Statistics D, Bank of Japan.
    19. Marek Rusnak & Tomas Havranek & Roman Horvath, 2013. "How to Solve the Price Puzzle? A Meta-Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(1), pages 37-70, February.
    20. Vonnák, Dzsamila & Ongena, Steven & Schindele, Ibolya, 2017. "Monetáris politika és a bankok hitelkínálata. Vállalati adatokon alapuló elemzés [Monetary policy and bank-loan supply: evidence from firm-level analysis]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 217-237.

    More about this item

    Keywords

    monetary transmission; credit channel; bank lending channel; ARDL model.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mnb:wpaper:2006/7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lorant Kaszab (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.