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Which bank is the "central" bank?

Author

Listed:
  • Bech, Morten L.
  • Chapman, James T.E.
  • Garratt, Rodney J.

Abstract

Liquidity flows through a financial network cannot be accurately described using external processing constraints alone. Behavioral aspects of participants also matter. A method similar to Google's PageRank procedure is used to produce a ranking of participants in the Canadian Large Value Transfer System in terms of their daily liquidity holdings. Accounting for differences in banks' processing speeds is essential for explaining why observed distributions of liquidity differ from the initial distributions, which are determined by the credit limits selected by banks. Delay tendencies of banks are unobservable in the data and are estimated using a Markov model.

Suggested Citation

  • Bech, Morten L. & Chapman, James T.E. & Garratt, Rodney J., 2010. "Which bank is the "central" bank?," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 352-363, April.
    • Handle: RePEc:eee:moneco:v:57:y:2010:i:3:p:352-363
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    References listed on IDEAS

    as
    1. Martin, Antoine & McAndrews, James, 2008. "Liquidity-saving mechanisms," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 554-567, April.
    2. 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.
    3. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    4. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
    5. Amihud, Yakov & Mendelson, Haim & Pedersen, Lasse Heje, 2006. "Liquidity and Asset Prices," Foundations and Trends(R) in Finance, now publishers, vol. 1(4), pages 269-364, February.
    6. Michael Boss & Helmut Elsinger & Martin Summer & Stefan Thurner, 2004. "An Empirical Analysis of the Network Structure of the Austrian Interbank Market," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 7, pages 77-87.
    7. 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.
    8. Leo Katz, 1953. "A new status index derived from sociometric analysis," Psychometrika, Springer;The Psychometric Society, vol. 18(1), pages 39-43, March.
    9. Morten L. Bech & Bart Hobijn, 2007. "Technology Diffusion within Central Banking: The Case of Real-Time Gross Settlement," International Journal of Central Banking, International Journal of Central Banking, vol. 3(3), pages 147-181, September.
    10. John Geweke, 1999. "Using simulation methods for bayesian econometric models: inference, development,and communication," Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 1-73.
    11. Douglas M. Gale & Shachar Kariv, 2007. "Financial Networks," American Economic Review, American Economic Association, vol. 97(2), pages 99-103, May.
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