IDEAS home Printed from https://ideas.repec.org/p/dnb/dnbwpp/316.html
   My bibliography  Save this paper

Is this bank ill? The diagnosis of doctor TARGET2

Author

Listed:
  • Ronald Heijmans
  • Richard Heuver

Abstract

We develop indicators for signs of liquidity shortages and potential financial problems of banks by studying transaction data of the Dutch part of the European real time gross settlement system and collateral management data. The indicators give information on 1) overall liquidity position, 2) the interbank money market, 3) the timing of payment flows, 4) the collateral's amount and use and 5) bank run signs. This information can be used both for monitoring the TARGET2 payment system and for individual banks' supervision. By studying these data before, during and after stressful events in the crisis, banks' reaction patterns are identified. These patterns are translated into a set of behavioural rules, which can be used in payment systems' stress scenario analyses, such as e.g. simulations and network topology. In the literature behaviour and reaction patterns in simulations are either ignored or very static. To perform realistic payment system simulations it is crucial to understand how banks react to shocks.

Suggested Citation

  • Ronald Heijmans & Richard Heuver, 2011. "Is this bank ill? The diagnosis of doctor TARGET2," DNB Working Papers 316, Netherlands Central Bank, Research Department.
  • Handle: RePEc:dnb:dnbwpp:316
    as

    Download full text from publisher

    File URL: https://www.dnb.nl/en/binaries/Working%20Paper%20316_tcm47-257529.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. repec:ijc:ijcjou:y:2017:q:4:a:3 is not listed on IDEAS
    2. Klaus Abbink & Ronald Bosman & Ronald Heijmans & Frans van Winden, 2017. "Disruptions in Large-Value Payment Systems: An Experimental Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 63-95, December.
    3. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
    4. Bech, Morten L. & Garratt, Rod, 2003. "The intraday liquidity management game," Journal of Economic Theory, Elsevier, vol. 109(2), pages 198-219, April.
    5. Ronald Heijmans & Richard Heuver & Daniëlle Walraven, 2011. "Monitoring the unsecured interbank money market using TARGET2 data," DNB Working Papers 276, Netherlands Central Bank, Research Department.
    6. James J. McAndrews & Samira Rajan, 2000. "The timing and funding of Fedwire funds transfers," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 17-32.
    7. Q. Farooq Akram & Casper Christophersen, 2010. "Interbank overnight interest rates - gains from systemic importance," Working Paper 2010/11, Norges Bank.
    8. Cocco, João F. & Gomes, Francisco J. & Martins, Nuno C., 2009. "Lending relationships in the interbank market," Journal of Financial Intermediation, Elsevier, vol. 18(1), pages 24-48, January.
    9. Bech, Morten L. & Atalay, Enghin, 2010. "The topology of the federal funds market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5223-5246.
    10. Iori, Giulia & De Masi, Giulia & Precup, Ovidiu Vasile & Gabbi, Giampaolo & Caldarelli, Guido, 2008. "A network analysis of the Italian overnight money market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 259-278, January.
    11. Morten L. Bech & Rodney J. Garratt, 2012. "Illiquidity in the Interbank Payment System Following Wide‐Scale Disruptions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(5), pages 903-929, August.
    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. Triepels, Ron & Daniels, Hennie, 2016. "A Comparison of Three Models to Predict Liquidity Flows between Banks Based on Daily Payments Transactions," Discussion Paper 2016-037, Tilburg University, Center for Economic Research.
    2. repec:cbi:qtbart:y:2017:m:04:p:46-61 is not listed on IDEAS
    3. Peter Heemeijer & Ronald Heijmans, 2015. "Central bank intervention in large value payment systems: An experimental approach," DNB Working Papers 466, Netherlands Central Bank, Research Department.
    4. repec:cbi:qtbart:y:2017:m:04:p:81-95 is not listed on IDEAS
    5. Laine, Tatu & Nummelin, Tuomas & Snellman, Heli, 2011. "Combining liquidity usage and interest rates on overnight loans : an oversight indicator," Research Discussion Papers 23/2011, Bank of Finland.
    6. O. de Bandt & J.-C. Héam & C. Labonne & S. Tavolaro, 2013. "Measuring Systemic Risk in a Post-Crisis World," Débats économiques et financiers 6, Banque de France.
    7. repec:cbi:qtbart:y:2017:m:04:p:62-80 is not listed on IDEAS
    8. Ronald Heijmans & Richard Heuver & Clement Levallois & Iman van Lelyveld, 2014. "Dynamic visualization of large transaction networks: the daily Dutch overnight money market," DNB Working Papers 418, Netherlands Central Bank, Research Department.

    More about this item

    Keywords

    behaviour of banks; wholesale payment systems; financial stability;

    JEL classification:

    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:dnb:dnbwpp:316. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rob Vet). General contact details of provider: http://edirc.repec.org/data/dnbgvnl.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.