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Interbank Market as Network

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Title: Interbank Market as Network


1
Interbank Marketas Network
  • Alessandro Cappellini
  • October 1st 2004
  • cappellini_at_econ.unito.it

2
  • ...second only to its macro-stability
    responsibilities is the central banks
    responsibility to use its authority and expertise
    to forestall financial crises (including systemic
    disturbances in the banking system) and to manage
    such crises once they occur.
  • (Alan Greenspan 1997)

3
Agenda
  • Interbank Market
  • Interbank Market Italy
  • Crisis contagion
  • Crisis effects
  • Networks
  • Elsinger Lehar Summer
  • Hanel Pichler Thurner
  • Boss Elsinger Summer Thurner
  • Müller
  • Inaoka et al.

4
Interbank market
  • Interbank market allows banks with liquidity
    surpluses to provide liquidity for banks with
    liquidity shortages.
  • Its main purpose is to redistribute funds
    efficiently among banks.
  • Stats collected as Liability (or exposure) matrix
    by national central bank
  • Real-time gross settlement (RTGS) system
    processes payments in real time on a transaction
    by transaction basis.
  • Or Know as Automated Clearing Houses (BI-COMP
    BI-REL TARGET)

5
Interbank Market Italy
6
Crisis contagion
  • The study of Interbank Market is directly related
    to financial crisis and market stability, to
    understand Systemic Risk through Correlated
    Exposures and to prevent Domino-effects
  • Channels of financial contagion
  • Contagion can be driven by information. A bank
    suffering a liquidity problem can induce
    creditors of other banks with a similar structure
    to suspect difficulties in their banks, too.
  • Second, contagion can affect other financial
    institutions via direct linkages created by
    payment system.

7
Crisis effects
Effects of financial contagion
  • One bank may cause losses to a creditor bank
    (credit effect, exposure).
  • Or compromise the liquidity of a potential
    debtor, i.e., of a bank which finds that a credit
    line it held with the troubled institution has
    dried up (liquidity effect).

8
Networks
  • Network with
  • Banks as vertexes
  • Transaction as edges
  • Characteristics
  • Directed
  • Not fully connected (Each banks has liabilities
    with some (not all) other banks)
  • Limits and Notes
  • Only Monetary transaction (e.g. No corporate
    Bonds)
  • No single branches
  • No clients
  • Only Bank from FMI universe
  • Presence of head institution linked to many
    others

9
Elsinger Lehar Summer
  • Network
  • Data from the monthly reports (MAUS), the
    Austrian Central Bank (OeNB) and the database of
    the OeNB major loans register (Großkreditevidenz,
    GKE).
  • 881 independent banks for September 2002
  • Historical simulation
  • 12 years market scenario (interest rates and fx).
    Foreign exchange exposures for USD, JPY, GBP, and
    CHF only. Market data for scenarios from
    Datastream.
  • Information on net positions in all currencies
    combined for different maturity buckets
  • up to 3 months but not callable,
  • 3 months to 1 year,
  • 1 to 5 years, more than
  • 5 years

10
Hanel Pichler Thurner (1/2)
  • Basle capital risk
  • Test on two network types
  • Regular One Dimension
  • Fully Connected
  • Prisoner dilemma iterated
  • Low risk (and returns) with major risk
    diversification

11
Hanel Pichler Thurner (2/2)
  • Growing TIER capital, delaying default
  • Highly dependency on network topology for
    contagions
  • Increasing connection, delaying default

12
Boss Elsinger Summer Thurner
  • Austrian banking System
  • Categories
  • Saving Banks
  • Raiffeisen (agricultural)
  • Volksbanken
  • Joint Stock Banks
  • State Mortage Banks
  • Housing Construction Savings and Loan
    Associations
  • Special purpose Banks

Clustering Coefficient 0.12 (banks are
interested in limited diversification for the
cost of linking Average Shortest Path Length
2.26 (Very low degree of separation)
13
Müller (1/3)
  • The data are taken from the Swiss National Banks
    interbank statistics (quarterly)
  • Categories
  • Big banks
  • Cantonal banks (universal banks, focus on the
    savings and mortgage business)
  • Regional banks (savings and mortgage business)
  • Raiffeisen banks
  • Trading and stock exchange banks (universal
    banks)
  • Private banks (specialize in asset management)

14
Müller (2/3)
Swiss Bank Subnetwork
Two Big Banks with a central position UBS, CSFB
Higly centralized Regional banks
Homogeneous Cantonal Subnetwork
15
Müller (3/3)
  • Detect Relevant banks
  • Number of interbank linkages (In- and outdegree
    centrality)
  • Size of interbank position (valued degree
    centrality)
  • Distance from all other Banks (In-closeness
    centrality)
  • Importance of counterparties (Rank centrality)
  • Position in the network (Betweenness centrality)

16
Inaoka et al.
  • Japan BOJ-Net data, from June 2001 to December
    2002
  • 546 banks makes transactions in the period and
    create 7351 pairs
  • 354 banks are used (gt 21 transaction)
  • City Banks (Red dots) are in the more connected
    zone the center
  • Attention on the green zone (bottom left). It is
    a subnetwork composed by Shinkin Banks, a
    cooperative of small local banks, that
    coordinated some critical rules (such as in
    federal model).

17
  • Systemic risk is the likelihood of a sudden,
    usually unexpected, collapse of confidence in a
    significant portion of the banking or financial
    system with potentially large real economic
    effects.
  • (Bartholomew, Philip F. and Gary W. Whalen
    Fundamentals of Systemic Risk in Kaufman,
    George G. (1995) Banking, Financial Markets, and
    Systemic Risk, Research in Financial Services
    Private and Public Policy, Vol. 7, 3-17)

18
Bibliography
  • Rudolf Hanel, Stefan Pichler, Stefan Thurner.
    Banking Regulation and Network-topology
    Dependence of Iterative Risk-trading Games
  • Stefan Thurner, Rudolf Hanel, and Stefan Pichler
    Risk trading, network topology, and banking
    regulation Sep 2003
  • Helmut Elsinger, Alfred Lehar, Martin Summer,
    Risk Assessment for Banking Systems
  • Michael Boss, Helmut Elsinger, Martin Summer, and
    Stefan Thurner The Network Topology of the
    Interbank Market
  • Hajime Inaoka, Takuto Ninomiya, Ken Taniguchi,
    Tokiko Shimizu, Hideki Takayasu Fractal Network
    derived from banking transaction -- An analysis
    of network structures formed by financial
    institutions -- April 2004
  • Jeannette Müller, Two Approaches to Assess
    Contagion in the Interbank Market December 23,
    2003
  • Morten L. Bech, Kimmo Soramäki Systemic risk in a
    netting system revisited August 2004
  • Greenspan, Alan, 1997, Supervision of Banking
    Organizations, Testimony of Alan Greenspan,
    Chairman of the Board of Governors of the Federal
    Reserve System, before the Subcommittee on
    Capital Markets, Securities and Government
    Sponsored Enterprises of the Committee on Banking
    and Financial Services, U.S. House of
    Representatives, March 19, 1997.
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