IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpep/v2020y2020i1id710p1-25.html
   My bibliography  Save this article

Placing the Czech Shadow Banking Sector under the Light

Author

Listed:
  • Martin Hodula
  • Martin Macháček
  • Aleš Melecký

Abstract

The size of the shadow banking sector (SBS) has more than doubled in the Czech Republic over the last decade. This places a potential burden on policy makers. On the one hand, the SBS complements regular banking by expanding access to credit and investments, enabling better risk sharing and maturity transformation, and sup-porting market liquidity. On the other hand, SBS activities can put the stability of the financial system at risk and amplify its procyclicality by exacerbating the build-up of leverage and asset price bubbles. We implement a FAVAR model of the Czech economy to determine the impact of macroeconomic factors on the SBS. We find that the SBS: (i) is sensitive to changes in market interest rates and term spread; (ii) exhibits great procyclicality; (iii) can act as a complement to regular banking and satisfy some additional demand for credit. We also define some potential risks of continued growth of the SBS, linked to our empirical evidence.

Suggested Citation

  • Martin Hodula & Martin Macháček & Aleš Melecký, 2020. "Placing the Czech Shadow Banking Sector under the Light," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(1), pages 3-28.
  • Handle: RePEc:prg:jnlpep:v:2020:y:2020:i:1:id:710:p:1-25
    DOI: 10.18267/j.pep.710
    as

    Download full text from publisher

    File URL: http://pep.vse.cz/doi/10.18267/j.pep.710.html
    Download Restriction: free of charge

    File URL: http://pep.vse.cz/doi/10.18267/j.pep.710.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.pep.710?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jushan Bai & Kunpeng Li & Lina Lu, 2016. "Estimation and Inference of FAVAR Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 620-641, October.
    2. Alan Moreira & Alexi Savov, 2017. "The Macroeconomics of Shadow Banking," Journal of Finance, American Finance Association, vol. 72(6), pages 2381-2432, December.
    3. Bakk-Simon, Klára & Borgioli, Stefano & Giron, Celestino & Hempell, Hannah Sabine & Maddaloni, Angela & Recine, Fabio & Rosati, Simonetta, 2012. "Shadow banking in the Euro area: an overview," Occasional Paper Series 133, European Central Bank.
    4. Du, Julan & Li, Chang & Wang, Yongqin, 2017. "A comparative study of shadow banking activities of non-financial firms in transition economies," China Economic Review, Elsevier, vol. 46(S), pages 35-49.
    5. Alexander Herman & Ms. Deniz O Igan & Mr. Juan Sole, 2015. "The Macroeconomic Relevance of Credit Flows: An Exploration of U.S. Data," IMF Working Papers 2015/143, International Monetary Fund.
    6. Teodora Cristina Barbu & Iustina Alina Boitan & Sorin Iulian Cioaca, 2016. "Macroeconomic Determinants Of Shadow Banking – Evidence From Eu Countries," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 18, pages 11-129, December.
    7. Ronald Coase & Ning Wang, 2012. "China in Transition," Palgrave Macmillan Books, in: How China Became Capitalist, chapter 2, pages 22-40, Palgrave Macmillan.
    8. repec:ces:ifodic:v:15:y:2017:i:1:p:19307486 is not listed on IDEAS
    9. Benjamin Nelson & Gabor Pinter & Konstantinos Theodoridis, 2018. "Do contractionary monetary policy shocks expand shadow banking?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 198-211, March.
    10. Forni, Mario & Gambetti, Luca, 2010. "The dynamic effects of monetary policy: A structural factor model approach," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 203-216, March.
    11. Bakk-Simon, Klára & Borgioli, Stefano & Giron, Celestino & Hempell, Hannah S. & Maddaloni, Angela & Recine, Fabio & Rosati, Simonetta, 2012. "Shadow banking in the Euro area: an overview," Occasional Paper Series 133, European Central Bank.
    12. Stephan Kohns, 2017. "Monetary Policy and Financial Stability," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 15(1), pages 17-18, 04.
    13. Stephan Kohns, 2017. "Monetary Policy and Financial Stability," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 15(01), pages 17-18, April.
    14. repec:zbw:bofrdp:2013_004 is not listed on IDEAS
    15. Mr. Manmohan Singh & Mr. Zoltan Pozsar, 2011. "The Nonbank-Bank Nexus and the Shadow Banking System," IMF Working Papers 2011/289, International Monetary Fund.
    16. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    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. Jordan Kjosevski & Mihail Petkovski & Aleksandar Stojkov, 2020. "The impact of macroeconomic and financial factors on shadow banking in the new EU member states," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 38(2), pages 407-427.

    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. Martin Hodula & Martin Macháček & Aleš Melecký, . "Placing the Czech Shadow Banking Sector under the Light," Prague Economic Papers, University of Economics, Prague, vol. 0, pages 1-25.
    2. Hodula Martin & Pfeifer Lukáš, 2018. "Fiscal-Monetary-Financial Stability Interactions in a Data-Rich Environment," Review of Economic Perspectives, Sciendo, vol. 18(3), pages 195-224, September.
    3. Martin Hodula & Lukas Pfeifer, 2018. "The Impact of Credit Booms and Economic Policy on Labour Productivity: A Sectoral Analysis," ACTA VSFS, University of Finance and Administration, vol. 12(1), pages 10-42.
    4. Jordan Kjosevski & Mihail Petkovski & Aleksandar Stojkov, 2020. "The impact of macroeconomic and financial factors on shadow banking in the new EU member states," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 38(2), pages 407-427.
    5. Beck, Günter Wilfried & Kotz, Hans-Helmut, 2016. "Euro area shadow banking activities in a low-interest-rate environment: A flow-of-funds perspective," SAFE White Paper Series 37, Leibniz Institute for Financial Research SAFE.
    6. Gebauer, Stefan & Mazelis, Falk, 2018. "The Role of Shadow Banking for Financial Regulation," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181581, Verein für Socialpolitik / German Economic Association.
    7. sheunesu zhou, 2020. "Shadow Banking, Bank Liquidity and Monetary Policy Shocks in Emerging Countries: A Panel VAR Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 11(6), pages 46-59.
    8. Claudia Gabriela Baicu, 2019. "Regular Banking System versus Shadow Banking System. A Comparative Assessment of Evidence from Romania," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, vol. 8(4), pages 24-41, December.
    9. Gebauer, Stefan & Mazelis, Falk, 2023. "Macroprudential regulation and leakage to the shadow banking sector," European Economic Review, Elsevier, vol. 154(C).
    10. Chen, Ting-Hsuan & Shen, Chung-Hua & Wu, Meng-Wen & Huang, Kuo-Jui, 2021. "Effect of shadow banking on the relation between capital and liquidity creation," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 166-184.
    11. Mr. Luis Brandão-Marques & Mrs. Esther Perez Ruiz, 2017. "How Financial Conditions Matter Differently across Latin America," IMF Working Papers 2017/218, International Monetary Fund.
    12. Herwartz, Helmut & Rohloff, Hannes, 2018. "Less bang for the buck? Assessing the role of inflation uncertainty for U.S. monetary policy transmission in a data rich environment," University of Göttingen Working Papers in Economics 358, University of Goettingen, Department of Economics.
    13. Torsten Ehlers & Steven Kong & Feng Zhu, 2018. "Mapping shadow banking in China: structure and dynamics," BIS Working Papers 701, Bank for International Settlements.
    14. Artak Harutyunyan & Mr. Alexander Massara & Giovanni Ugazio & Goran Amidžic & Richard Walton, 2015. "Shedding Light on Shadow Banking," IMF Working Papers 2015/001, International Monetary Fund.
    15. Kapoor, Supriya & Peia, Oana, 2021. "The impact of quantitative easing on liquidity creation," Journal of Banking & Finance, Elsevier, vol. 122(C).
    16. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    17. Cerutti, Eugenio M. & Obstfeld, Maurice & Zhou, Haonan, 2021. "Covered interest parity deviations: Macrofinancial determinants," Journal of International Economics, Elsevier, vol. 130(C).
    18. Zsolt Darvas, 2018. "Forecast errors and monetary policy normalisation in the euro area," Policy Contributions 28816, Bruegel.
    19. Riccardo De Bonis & Matteo Piazza, 2021. "A silent revolution. How central bank statistics have changed in the last 25 years," PSL Quarterly Review, Economia civile, vol. 74(299), pages 347-371.
    20. Chung‐Hua Shen & Hsing‐Hua Hsu, 2022. "The determinants of Asian banking crises—Application of the panel threshold logit model," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 248-277, March.

    More about this item

    Keywords

    shadow banking; credit intermediation; Czech Republic; FAVAR;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:prg:jnlpep:v:2020:y:2020:i:1:id:710:p:1-25. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.