2014
DOI: 10.2139/ssrn.2390828
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A Dynamic Stochastic Network Model of the Unsecured Interbank Lending Market

Abstract: This paper introduces a structural micro-founded dynamic stochastic network model for the unsecured interbank lending market. Banks are profit optimizing agents subject to random liquidity shocks and can engage in costly counterparty search to find suitable trading partners and peer monitoring to reduce counterparty risk uncertainty. The structural parameters are estimated by indirect inference using appropriate network statistics of the Dutch interbank market. The estimated model is shown to explain accuratel… Show more

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Cited by 9 publications
(8 citation statements)
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“…The transaction-level data set thus has the time, volume and price of all transactions involving at least one Dutch bank. This data has been analyzed further in Blasques et al (2015).…”
Section: Overnight Interbank Loansmentioning
confidence: 99%
“…The transaction-level data set thus has the time, volume and price of all transactions involving at least one Dutch bank. This data has been analyzed further in Blasques et al (2015).…”
Section: Overnight Interbank Loansmentioning
confidence: 99%
“…Since we have simply imposed an ad hoc relationship-dependent rule for the lending rate, no further mechanism exists that would guarantee that the resulting degree of heterogeneity of lending rates is sufficient in the long run to neutralise completely the asymmetric flows of interest payments within the banking system. 7 It would, therefore, be interesting to replace the present ad hoc rule for relationship-based interest rates by a behavioural analysis along the lines of the bargaining approach put forward by Halaj and Kok (2013) and Blasques et al (2014) to see whether systematic tendencies towards tolerable levels of interest rates emerge that guarantee survival of the peripherical borrowers.…”
Section: The Role Of Interest Ratesmentioning
confidence: 99%
“…Differently from the seminal work by Allen and Gale (2000) both papers show that, under certain conditions, complete claims structures may be less robust than incomplete ones. In Leitner (2005) the whole network may collapse if liquidity is concentrated in a too small group of banks (see also Babus (2014), in't Veld, van der Leij, andHommes (2014), and Blasques, Bräuning, and van Lelyveld (2014)). More recently, Glode and Opp (2014) study intermediation chains as a means to overcome large asymmetric information.…”
mentioning
confidence: 99%