Which bank is the "central" bank? an application of Markov theory to the Canadian Large Value Transfer System
AbstractRecently, economists have argued that a bank's importance within the financial system depends not only on its individual characteristics but also on its position within the banking network. A bank is deemed to be "central" if, based on our network analysis, it is predicted to hold the most liquidity. In this paper, we use a method similar to Google's PageRank procedure to rank banks in the Canadian Large Value Transfer System (LVTS). In doing so, we obtain estimates of the payment processing speeds for the individual banks. These differences in processing speeds are essential for explaining why observed daily distributions of liquidity differ from the initial distributions, which are determined by the credit limits selected by banks.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Federal Reserve Bank of New York in its series Staff Reports with number 356.
Date of creation: 2008
Date of revision:
Other versions of this item:
- Morten Bech & James T. E. Chapman & Rod Garratt, 2008. "Which Bank is the "Central" Bank? An Application of Markov Theory to the Canadian Large Value Transfer System," Working Papers 08-42, Bank of Canada.
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
- G20 - Financial Economics - - Financial Institutions and Services - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-12-07 (All new papers)
- NEP-BAN-2008-12-07 (Banking)
- NEP-CBA-2008-12-07 (Central Banking)
- NEP-MON-2008-12-07 (Monetary Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Leo Katz, 1953. "A new status index derived from sociometric analysis," Psychometrika, Springer, vol. 18(1), pages 39-43, March.
- 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, 08.
- Morten L. Bech & Rod Garratt, 2006. "Illiquidity in the interbank payment system following wide-scale disruptions," Staff Reports 239, Federal Reserve Bank of New York.
- Sean O'Connor & James Chapman & Kirby Millar, 2008. "Liquidity Efficiency and Distribution in the LVTS: Non-Neutrality of System Changes under Network Asymmetry," Discussion Papers 08-11, Bank of Canada.
- Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Systemic Risk in the Finance and Insurance Sectors," NBER Working Papers 16223, National Bureau of Economic Research, Inc.
- Jorge A. Chan-Lau, 2010. "Balance Sheet Network Analysis of Too-Connected-to-Fail Risk in Global and Domestic Banking Systems," IMF Working Papers 10/107, International Monetary Fund.
- Andrievskaya, Irina, 2012. "Measuring systemic funding liquidity risk in the Russian banking system," BOFIT Discussion Papers 12/2012, Bank of Finland, Institute for Economies in Transition.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Amy Farber).
If references are entirely missing, you can add them using this form.