The Strength of Weak Ties

The Strength of Weak Ties

Key Terms

  • Loosly Coupled Systems
  • Weak Ties
  • Strong Ties
  • Connections
  • Networks
  • Diffusion
  • Lockdown
  • Isolation
  • Quarantine
  • Separation
  • Preferences
  • Epidemiology
  • Tightly Coupled Systems
  • Slack
  • Buffer
  • Communities in Networks
  • Ties
  • Borders
  • Boundaries
  • Brokers
  • Boundary Spanners
  • Cooperation
  • Competition
  • Divisions
  • Risks
  • Contagion
  • Interconnectedness
  • Clusters

The Strength of Weak Ties is quite a relevant topic currently due to focus on

  • Diffusion of Innovation
  • Spread of Diseases
  • Global Supply Chains
  • Community Formation in Networks
  • Communication in Networks
  • Relations between Groups
  • Resilience
  • Risks and Fragility
  • Contagion and Spillovers

The Strength of Weak Ties

Mark Granovetter

The Strength of Weak Ties – Continued

My Related Posts

Boundaries and Networks

Contagion in Financial (Balance sheets) Networks

Boundaries and Relational Sociology

Boundaries and Distinctions

Boundary Spanning in Multinational and Transnational Corporations

FDI vs Outsourcing: Extending Boundaries or Extending Network Chains of Firms

Global Flow of Funds: Statistical Data Matrix across National Boundaries

Balance Sheets, Financial Interconnectedness, and Financial Stability – G20 Data Gaps Initiative

Micro Motives, Macro Behavior: Agent Based Modeling in Economics

Multiplex Financial Networks

Multilevel Approach to Research in Organizations

On Holons and Holarchy

Networks and Hierarchies

Key Sources of Research

The Strength of Weak Ties

Mark Gronovetter

The American Journal of Sociology, Vol. 78, No. 6. (May, 1973), pp. 1360-1380

Click to access granovetterTies.pdf

https://www.semanticscholar.org/paper/The-Strength-of-Weak-Ties-Granovetter/c9aece346139711b8c65c618da99cdbecb162575

THE STRENGTH IN WEAK TIES

WILLIAM T. LIU,  ROBERT W. DUFF

Public Opinion Quarterly, Volume 36, Issue 3, FALL 1972, Pages 361–366, https://doi.org/10.1086/268018

Published: 01 January 1972

https://academic.oup.com/poq/article-abstract/36/3/361/1875803

The Future of Weak Ties

Aral, Sinan. “The Future of Weak Ties.”

American Journal of Sociology 121, no. 6 (May 2016): 1931–1939.

MIT

Attention on Weak Ties in Social and Communication Networks

Lilian Weng, Ma ́rton Karsai, Nicola Perra, Filippo Menczer and Alessandro Flammini

2017

Algebraic Analysis of Social Networks: Models, Methods and Applications Using R

By J. Antonio R. Ostoic

A test of structural features of granovetter’s strength of weak ties theory

Noah Friedkin

Department of Education, University of California, Santa Barbara, CA 93106, U.S.A.

Social Networks
Volume 2, Issue 4, 1980, Pages 411-422

https://www.sciencedirect.com/science/article/abs/pii/0378873380900064

Social network Analysis
Lecture 5–Strength of weak ties paradox

Donglei Du

Faculty of Business Administration, University of New Brunswick, NB Canada Fredericton E3B 9Y2 (ddu@unb.ca)

Click to access Lec5_weak_tie_handout.pdf

THE STRENGTH OF WEAK TIES: A NETWORK THEORY REVISITED

Mark Granovetter

STATE UNIVERSITY OF NEW YORK, STONY BROOK

Sociological Theory, Vol. 1 (1983), pp. 201-233
John Wiley & Sons
http://www.jstor.org/stable/202051 .

Social Interactions and Well-Being: The Surprising Power of Weak Ties

Gillian M. Sandstrom, Elizabeth W. Dunn
First Published April 25, 2014
https://doi.org/10.1177/0146167214529799

https://journals.sagepub.com/doi/abs/10.1177/0146167214529799

Information Flow Through Strong and Weak Ties in Intraorganizational Social Networks

Noah E Friedkin

UCSB

Social Networks 3, 1982

Click to access SNIflow.PDF

Time varying networks and the weakness of strong ties

Márton KarsaiNicola PerraAlessandro Vespignani

https://arxiv.org/abs/1303.5966

https://www.technologyreview.com/2013/03/28/83867/how-strong-social-ties-hinder-the-spread-of-rumours/

Strong and Weak Ties

Web Science (VU) (707.000)

Elisabeth Lex
KTI, TU Graz
April 20, 2015

Click to access strongweakties.pdf

Communication boundaries in networks

Trusina, Ala 

Rosvall, Martin 

Umeå University, Faculty of Science and Technology, Department of Physics.

Sneppen, Kim 

2005 (English)

In: Physical Review Letters, ISSN 0031-9007, E-ISSN 1079-7114, Vol. 94, no 23, p. 238701-

Bank of Finland’s Payment And Settlement System Simulator (BoF-PSS2)

Bank of Finland’s Payment And Settlement System Simulator (BoF-PSS2)

 

From Payment and Settlement System Simulator

BOF-PSS2

The Bank of Finland provides a simulator called BoF-PSS2 for replicating payment and securities settlement systems. The simulator is adaptable for modelling multisystem setups that can be a combination of payment, securities settlement systems and CCP’s. The simulator is known to be unique and the first of its kind. Since its launch in 2002 it has been distributed to more than 90 countries and has contributed to numerous studies and research papers.

The simulator can be used to fulfill some of the regulatory requirements stated in the PFMI’s and BCBS requirements such as identifying the liquidity risks inpayment systems. Here under are topics the simulator can be used for:

  • Settlement, liquidity and credit risks in FMI’s
  • Systemic Risks and Counterparty risks in FMI’s
  • Identification of critical counterparts
  • Policy change impact evaluation
  • Network analysis
  • Liquidity dependency analysis
  • Relationship analysis of Monetary policy and liquidity needs for settlement of payments
  • Evaluation of sufficiency of liquidity buffers and margins
  • System merger effects on liquidity needs
  • System performance benchmarking
  • Netting algorithm testing and development
  • System development and prototyping

In comparison to static calculations of indicators, the simulation results naturally incorporate network (or systemic) effects rising from the payments flows and the technical properties of the infrastructures themselves. The results obtained from simulations are directly interpretable and have a self-evident meaning which is not always the case with all indicators. The results can directly be used for risk management purposes for example when evaluating the sufficiency of liquidity buffers and margins. Computer simulations take advantage of using the available information in full without losing micro-level information due to indicator aggregations.

The simulator is freely available for research purposes, and has already been introduced in numerous countries. It is possible to tailor and adapt the simulator to specific payment systems. Several adaptations of the simulator have already been made, eg. for TARGET2. The simulator team provides trainings, consultation and tailored adaptations which are priced for cost recovery. The training course aims at providing necessary skills for efficient use of BoF-PSS2 with hands on computer class exercises. It also presents numerous examples from real studies where the tool has been used. For more details see the training course outline. Minimum attendance to the session is four participants.

Basically, trainings are organised upon demand and it is also possible to order a training course to be held onsite outside the proposed dates.

 

From Payment and Settlement System Simulator / Product Page

product_en_144ppi

From Payment and Settlement System Simulator / Documentation page

The Bank of Finland Payment and Settlement System Simulator, version 2 (BoF-PSS2), is a powerful tool for payment and securities settlement system simulations. The simulator supports multiple system structures and various settlement models.

The simulator is designed for analysing liquidity needs and risks in payment and settlement systems. Special situations, often difficult or impossible to test in a real environment, can be readily simulated with BoF-PSS2. Thus, users can study how behavioral patterns and changes in policy and conventions impact the payment and settlement systems and participants. The efficiency of gridlock-resolution and liquidity-saving measures can be analyzed as well.

The application is divided into three sub-systems:

  • Input sub-system for preparing and defining the input data,
  • Execution sub-system for running simulations,
  • Output sub-system for basic analyses of simulation results.

Different settlement logics are implemented into separate algorithms. To replicate specific systems, appropriate algorithms must be selected with appropriate parameters. Different algorithm combinations can be used to replicate a large number of current and potential settlement conventions and structures. Real-time gross settlement systems (RTGS), continuous net settlement systems (CNS), deferred net settlement systems (DNS) and hybrid systems can be implemented with the simulator as well as securities settlement and multicurrency systems. Inter-system connections and bridges make it possible to define multi- system environments consisting of various types of interdependent systems. E.g. it is possible to replicate the interaction of RTGS and securities settlement systems.

Advanced users of BoF-PSS2 can define and build their own user modules/algorithms and expand the basic features of the simulator to analyse new types of settlement processes. It is also possible to implement agent based modeling by adding algorithms replicating the participants’ behavior and decision making to control and alter the flow of submitted transactions. As a later addition, the simulator also has a network analysis module for generating networks and network indicators from either input data or results of simulations.

BoF-PSS2 has an easy to use graphical user interface. It is also possible to automate the use of the simulator via its command line interface (CLI).

 

From Payment and Settlement System Simulator / Product Page

TARGET2 SIMULATOR

A separate TARGET2 simulator version of BoF-PSS2 has been developed and delivered for the European System of Central Banks. It is based on the same basic software architechture and features of BoF-PSS2. Additional features are implemented as separate algorithm modules which replicate the proprietary algorithms of actual TARGET2 system. It is used by Eurosystem for quantitative analyses and numerical simulations of TARGET2.

TARGET2 simulator has been jointly delivered by Suomen Pankki (Bank of Finland) and the 3CB (Banca d’Italia, Deutsche Bundesbank, Banque de France) based on a decision of ECB Governing Council.

 

 

Key Terms

  • Liquidity Simulator
  • Payment System
  • Risk Management
  • Financial Stability
  • Cascades of Failures
  • Congestions and Delays
  • Financial Market Infrastructures
  • Payment Networks
  • Contagion
  • RTGS
  • Simulation Analysis
  • TARGET2
  • Intraday Payments

 

Key People

  • Harry Leinonen
  • Tatu Laine
  • Matti Hellqvist
  • Kimmo Soramäki

 

 

Key Sources of Research:

 

Payment and Settlement System Simulator – A tool for analysis of liquidity, risk and efficiency

Bank of Finland Payment and Settlement Simulator

2006

 

Click to access 2006_11a_hl.pdf

 

 

BoF-PSS2 Technical structure and simulation features

Harry Leinonen

Click to access 20031519seminarpresentationleinonen2.pdf

 

 

Payment and Settlement System Simulator

https://www.suomenpankki.fi/en/financial-stability/bof-pss2-simulator/

https://www.suomenpankki.fi/en/financial-stability/bof-pss2-simulator/product/

https://www.suomenpankki.fi/en/financial-stability/bof-pss2-simulator/events/

 

 

Publications

https://www.suomenpankki.fi/en/financial-stability/bof-pss2-simulator/publications/

 

 

Quantitative analysis of financial market infrastructures: further perspectives on financial stability

E50

https://helda.helsinki.fi/bof/handle/123456789/13990

 

 

Diagnostics for the financial markets : computational studies of payment system : Simulator Seminar Proceedings 2009-2011

E45

https://helda.helsinki.fi/bof/handle/123456789/9381

 

 

Simulation analyses and stress testing of payment networks

E42

https://helda.helsinki.fi/bof/handle/123456789/9369

 

 

Simulation studies of liquidity needs, risks and efficiency in payment networks : Proceedings from the Bank of Finland Payment and Settlement System Seminars 2005-2006

E39

https://helda.helsinki.fi/bof/handle/123456789/9370

 

 

Liquidity, risks and speed in payment and settlement systems : a simulation approach

E31

https://helda.helsinki.fi/bof/handle/123456789/9355

 

 

Simulation Analysis and Tools for the Oversight of Payment Systems

 

Click to access 2012-12-vigilanciasistemasdepago-10.pdf

 

 

Utilizing the BoF simulator in quantitative FMI analysis

Tatu Laine

Banco de México

15.10.2014

 

Click to access %7B15D9D1D3-D455-1E98-6FA6-AFB3B30C4ACB%7D.pdf

 

 

TARGET2 Simulator

Click to access target_newsletter_7_2013.pdf

 

 

Intraday patterns and timing of TARGET2 interbank payments

Marco Massarenti

Silvio Petriconi

Johannes Lindner

 

Click to access 0b5a0eb557b478843891449221c6ed2e7502.pdf

 

 

Communities and driver nodes in the TARGET2 payment system

Marco Galbiatiy, Lucian Stanciu-Vizeteuz

June 17, 2015

 

Click to access 5593d39c08ae1e9cb42a1904.pdf

 

 

Payment Delays and Contagion

Ben Craig† Dilyara Salakhova‡ Martin Saldias§

November 14, 2014

Click to access CraigSalakhovaSaldias_2014_preview.pdf

 

 

Federal Reserve Bank of New York Economic Policy Review

September 2008 Volume 14 Number 2

Special Issue: The Economics of Payments

 

Click to access EPRvol14n2.pdf

 

 

Contagion in Payment and Settlement Systems

 

Matti Hellqvist

2006

 

Click to access mh.pdf

 

 

Applications of BoF-PSS2 simulator and how to use it in agent based models

 

Click to access Hellqvist(presentation)_ABM-BaF09.pdf

 

 

Simulation and Analysis of Cascading Failure in Critical Infrastructure

Robert Glass, Walt Beyeler, Kimmo Soramäki, MortenBech and Jeffrey Arnold

Sandia National Laboratories, European Central Bank,  Federal Reserve Bank of New York

Click to access 07-glass_pres.pdf

 

 

Simulation analysis of payment systems

 

Kimmo Soramäki

2011

Click to access 2011-11-vigilancia-07.pdf

 

 

Simulating interbank payment and securities settlement mechanisms with the BoF-PSS2 simulator

Harry Leinonen

Kimmo Soramäki

 

2003

 

Click to access bof_dp_2303.pdf

 

Financial Stability and Systemically Important Countries -IMF-FSAP

Financial Stability and Systemically Important Countries -IMF-FSAP

 

IMF – FSAP

Assess financial stability and development

From The Financial Sector Assessment Program (FSAP)

The goal of FSAP assessments is twofold: to gauge the stability and soundness of the financial sector, and to assess its potential contribution to growth and development.

To assess the stability of the financial sector, FSAP teams examine the resilience of the banking and other non bank financial sectors; conduct stress tests and analyze systemic risks including linkages among banks and nonbanks and domestic and cross border spillovers; examine microprudential and macroprudential frameworks; review the quality of bank and non bank supervision, and financial market infrastructure oversight against accepted international standards; and evaluate the ability of central banks, regulators and supervisors, policymakers, and backstops and financial safety nets to respond effectively in case of systemic stress. While FSAPs do not evaluate the health of individual financial institutions and cannot predict or prevent financial crises, they identify the main vulnerabilities that could trigger one.

To assess the development aspects of the financial sector, FSAPs examine the development needs in terms of institutions, markets, infrastructure, and inclusiveness; quality of the legal framework and of payments and settlements system; identify obstacles to the competitiveness and efficiency of the sector; topics relating to financial inclusion and retail payments; and examine its contribution to economic growth and development. Issues related to development of domestic capital markets are particularly important in developing and low-income countries. While focusing on development issues, FSAPs also keep in view financial stability dimensions .

Since 1999 the IMF has monitored countries’ financial sectors on a voluntary basis through the Financial Sector Assessment Program. In developing and emerging market countries, the World Bank participates in these assessments, focusing on long-term financial development issues.

In the context of these financial sector assessments, the IMF examines three key components in all countries:

• the soundness of banks and other financial institutions, including stress tests;

• the quality of financial market oversight in banking and, if appropriate, insurance and securities; and

• the ability of supervisors, policymakers, and financial safety nets to respond effectively in case of a crisis.

One size does not fit all in these assessments. The IMF tailors its focus in each of these areas to a country’s individual circumstances, and takes into account the potential sources that might make the country in question vulnerable.

The objective is to assess countries’ crisis prevention and management frameworks, with the goal of supporting both national and global financial stability.

 

Based on 2010 IMF-FSAP, these are the counties having the systemically important Financial Sectors:

  • Australia
  • Austria
  • Belgium
  • Brazil
  • Canada
  • China
  • France
  • Germany
  • Hong Kong SAR
  • Italy
  • Japan
  • India
  • Ireland
  • Luxembourg
  • Mexico
  • the Netherlands
  • Russia
  • Singapore
  • South Korea
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • the United Kingdom
  • the United States

 

In 2014, Four new countries were added to the list based on expanded criteria for financial stability:

  • Finland,
  • Poland,
  • Denmark,
  • Norway

Expanded criteria emphasize connections between financial sectors, institutions

More emphasis on how problems in one country affect others

 

From Press Release: IMF Expanding Surveillance to Require Mandatory Financial Stability Assessments of Countries with Systemically Important Financial Sectors

September 27, 2010

Press Release No. 10/357
September 27, 2010

The Executive Board of the International Monetary Fund (IMF) has approved making financial stability assessments under the Financial Sector Assessment Program (FSAP) a regular and mandatory part of the Fund’s surveillance for members with systemically important financial sectors. While participation in the FSAP program has been voluntary for all Fund members, the Executive Board’s decision will make financial stability assessments mandatory for members with systemically important financial sectors under Article IV of the Fund’s Articles of Agreement.

The decision adopted on September 21, 2010 to raise the profile of financial stability assessments under the FSAP for members with systemically important financial sectors is a recognition of the central role of financial systems in the domestic economy of its members, as well as in the overall stability of the global economy. It is a major step toward enhancing the Fund’s economic surveillance to take into account the lessons from the recent crisis, which originated in financial imbalances in large and globally interconnected countries.

The FSAP provides the framework for comprehensive and in-depth assessments of a country’s financial sector, and was established in 1999, in the aftermath of the Asian crisis. FSAP assessments are conducted by joint IMF-World Bank teams in developing and emerging market countries, and by the Fund alone in advanced economies. FSAPs have two components, which may also be conducted in separate modules: a financial stability assessment, which is the responsibility of the IMF and, in developing and emerging market countries, a financial development assessment, the responsibility of the World Bank.

These mandatory financial stability assessments will comprise three elements: 1) An evaluation of the source, probability, and potential impact of the main risks to macro-financial stability in the near term, based on an analysis of the structure and soundness of the financial system and its interlinkages with the rest of the economy; 2) An assessment of each countries’ financial stability policy framework, involving an evaluation of the effectiveness of financial sector supervision against international standards; and 3) An assessment of the authorities’ capacity to manage and resolve a financial crisis should the risks materialize, looking at the country’s liquidity management framework, financial safety nets, crisis preparedness and crisis resolution frameworks.

“The FSAP program has been a key tool for analyzing the strengths and weaknesses of the financial systems of IMF member countries. This is why more than three-quarters of the Fund’s members have volunteered for these assessments, some more than once. However, the recent crisis has made clear the need for mandatory and regular assessments of financial stability for countries with large and interconnected financial systems. The Board’s decision represents an important part of the international community’s response to the recent crisis and will buttress our ability to exercise surveillance over a key aspect of the global economic machinery – the financial system,” said John Lipsky, First Deputy Managing Director of the IMF.

A total of 25 jurisdictions were identified as having systemically important financial sectors, based on a methodology that combines the size and interconnectedness of each country’s financial sector.

They are in alphabetical order: Australia, Austria, Belgium, Brazil, Canada, China, France, Germany, Hong Kong SAR, Italy, Japan, India, Ireland, Luxembourg, Mexico, the Netherlands, Russia, Singapore, South Korea, Spain, Sweden, Switzerland, Turkey, the United Kingdom, and the United States.

This group of countries covers almost 90 percent of the global financial system and 80 percent of global economic activity. It includes 15 of the Group of 20 member countries, and a majority of members of the Financial Stability Board, which has been working with the IMF on monitoring compliance with international banking regulations and standards. Each country on this list will have a mandatory financial stability assessment every five years. Countries may undergo more frequent assessments, if appropriate, on a voluntary basis. The methodology and list of jurisdictions will be reviewed periodically to make sure it continues to capture the countries with the most systemically important financial sectors that need to be covered by regular, in-depth, mandatory financial stability assessments.

“Going forward, regular stability assessments of systemically important financial sectors should contribute to a deeper the public understanding of the risks to economic stability arising from the financial sector. Financial instability can have a major impact on economic activity and job creation.” Mr. Lipsky said. “At the same time, we are committed—with the World Bank—to ensuring that this new mandate does not crowd out FSAP assessments in other countries.”

 

From IMF Survey : IMF Broadens Financial Surveillance

New methods for new risks

In the wake of the crisis, the IMF has strengthened the framework for surveillance of countries’ financial systems.

In 2010, the IMF made financial sector assessments mandatory for the countries with most important financial sectors in the global system, initially 25 and now 29.

The IMF is also focusing on how problems in one country can affect others, and on the connections between financial institutions. The IMF, among others, has developed what are known as network models to try and understand how events in one financial institution, market, or country will impact others.

Given the growing reach of global banks, the IMF also closely examines cross-border supervisory cooperation arrangements. In countries where foreign-owned banks are systemically important, it is essential that the host country supervisor has enough tools and good communications with the parent banks’ regulators.

Last December, the IMF Board reviewed the methodology that determines whether a country’s financial sector is systemically important. In light of the experience since the crisis, it agreed to place even more emphasis on the connections between financial sectors and institutions, expand the coverage of cross-border linkages to cover not only banking but also equity and debt exposures, and capture the potential for pure price contagion. Based on these revamped criteria, the IMF added the four countries to the original 25.

 

From Systemic Risk: From measurement to the New Financial Stability Agenda

interinter-2inter-3

 

Broad coverage of possible cross-border transmission channels for shocks:

  1. Banking claims (BIS Locational Statistics)
  2. Debt portfolio holdings (IMF CPIS Data)
  3. Equity portfolio holdings  (IMF CPIS Data)
  4. Price effects (“contagion”) (MSCI Price Indices)

 

Key Terms:

  •  FSAP – Financial Sector Assessment Program
  • IMF – International Monetary Fund
  • FSB – Financial Stability Board
  • BIS – Bank for International Settlements
  • FSSA – Financial Sector Stability Assessment

 

 

Key Sources of Research :

 

The Financial Sector Assessment Program (FSAP)

http://www.imf.org/About/Factsheets/Sheets/2016/08/01/16/14/Financial-Sector-Assessment-Program?pdf=1

 

 

MANDATORY FINANCIAL STABILITY ASSESSMENTS UNDER THE FINANCIAL SECTOR ASSESSMENT PROGRAM: UPDATE

2013

Click to access 111513.pdf

 

 

IMF Survey: Top 25 Financial Sectors to Get Mandatory IMF Check-Up

2010

http://www.imf.org/external/pubs/ft/survey/so/2010/NEW092710A.htm

 

 

The Financial Sector Assessment Program (FSAP)

http://www.imf.org/external/np/exr/facts/fsap.htm

 

 

Press Release: IMF Executive Board Reviews Mandatory Financial Stability Assessments Under the Financial Sector Assessment Program

2014

http://www.imf.org/external/np/sec/pr/2014/pr1408.htm

 

 

IMF Survey : IMF Broadens Financial Surveillance

 

2015

http://www.imf.org/en/News/Articles/2015/09/28/04/53/sopol011314a

 

 

Strengthening Surveillance—Lessons from the Financial Crisis

 

http://www.imf.org/external/np/pp/eng/2010/082710.pdfhttp://www.imf.org/external/np/exr/facts/refsurv.htm

 

 

External Sector Report

 

Click to access 062614.pdf

 

 

Identifying Global Systemically Important Financial Institutions

Mustafa Yuksel

 

Click to access bu-1214-8.pdf

 

 

A Comparison of U.S. and International Global Systemically Important Banks

by Paul Glasserman and Bert Loudis

 

Click to access OFRbr-2015-07_A-Comparison-of-US-and-International-Global-Systemically-Important-Banks.pdf

 

 

Integrating Stability Assessments Under the Financial Sector Assessment Program into Article IV Surveillance: Background Material

Prepared by the Monetary and Capital Markets Department Approved by José Viñals

August 27, 2010

 

Click to access 082710a.pdf

 

 

Integrating Stability Assessments Under the Financial Sector Assessment Program into Article IV Surveillance

Prepared by the Monetary and Capital Markets, Legal, and Strategy, Policy, and Review Departments

Approved by José Viñals, Reza Moghadam, and Sean Hagan August 27, 2010

 

Click to access 082710.pdf

 

 

The geographical composition of national external balance sheets: 1980–2005

Chris Kubelec and Filipa Sá

March 2010

Click to access wp384.pdf

 

 

The role of external balance sheets in the financial crisis

Yaser Al-Saffar, Wolfgang Ridinger and Simon Whitaker

Click to access fs_paper24.pdf

 

 

Evidence on Financial Globalization and Crisis: Geographic/Bilateral External Balance Sheets

Filipa Sá

August 3, 2010

Click to access cwpe1038.pdf

 

 

Bilateral Financial Linkages and Global Imbalances: a View on The Eve of the Financial Crisis

Gian Maria Milesi-Ferretti, Francesco Strobbe, and Natalia Tamirisa

2010

 

Click to access wp10257.pdf

 

 

International banking centres: a network perspective

Goetz von Peter

2007

 

Click to access r_qt0712e.pdf

 

 

Financial Sector Assessment Program: an Update

Presented by Mario Guadamillas and Christine Sampic

October 18-22, 2010

 

Click to access Guadamillas_Sampic_FSAP.pdf

 

 

 

Systemic Risk: From measurement to the New Financial Stability Agenda

Jorge A. Chan-Lau

April 4, 2014

 

Click to access Chan_lau_4avril2014.pdf

 

 

Changing Perceptions of Systemic Risk in Financial Regulation

Caroline Bradley

 

Click to access riskparadigmshift.0061.pdf

Contagion in Financial (Balance sheets) Networks

 

From Contagion Risk in Financial Networks

 

A notable feature of the modern Financial world is its high degree of interdependence. Banks and other Financial institutions are linked in a variety of ways. The mutual exposures that Financial institutions adopt towards each other connect the banking system in a network. Despite their obvious benefit, the linkages come at the cost that shocks, which initially affect only a few institutions, can propagate through the entire system. Since these linkages carry the risk of contagion, an interesting question is whether the degree of interdependence in the banking system sustains systemic stability.

From Contagion Risk in Financial Networks

Recently, there has been a substantial interest in looking for evidence of contagious failures of Financial institutions resulting from the mutual claims they have on one another. Most of these papers use balance sheet information to estimate bilateral credit relationships for different banking systems. Subsequently, the stability of the interbank market is tested by simulating the breakdown of a single bank.

 

From  Contagion in Financial Networks (PG and SK)

 

In modern financial systems, an intricate web of claims and obligations links the balance sheets of a wide variety of intermediaries, such as banks and hedge funds, into a network structure. The recent advent of sophisticated financial products, such as credit default swaps and collateralised debt obligations, has heightened the complexity of these balance sheet connections still further, making it extremely di¢ cult for policymakers to assess the potential for contagion associated with the failure of an individual financial institution or from an aggregate shock to the system as a whole.

The interdependent nature of financial balance sheets also creates an environment for feedback elements to generate amplified responses to any shock to the financial system.

 

From Contagion in Financial Networks (PG and SK)

 

The interactions between financial intermediaries following shocks make for non-linear system dynamics, and our model provides a framework for isolating the probability and spread of contagion when claims and obligations are interlinked. We find that financial systems exhibit a robust-yet-fragile tendency. While greater connectivity reduces the likelihood of widespread default, the impact on the financial system, should problems occur, could be on a significantly larger scale than hitherto. The model also highlights how a priori indistinguishable shocks can have very different consequences for the financial system. The resilience of the network to large shocks in the past is no guide to future contagion, particularly if shocks hit the network at particular pressure points associated with underlying structural vulnerabilities.

From Contagion in Financial Networks (PG and SK)

The intuition underpinning these results is straightforward. In a more connected system, the counterparty losses of a failing institution can be more widely dispersed to, and absorbed by, other entities. So increased connectivity and risk sharing may lower the probability of contagion. But conditional on the failure of one institution triggering contagious defaults, a higher number of Financial linkages also increases the potential for contagion to spread more widely. In particular, greater connectivity increases the chances that institutions which survive the effects of the initial default will be exposed to more than one defaulting counterparty after the first round of contagion, thus making them vulnerable to a second-round default. The impact of any crisis that does occur could, therefore, be larger.

 

 

Key Sources of Research:

 

Credit Chains

Kiyotaki and Moore

1997

Click to access creditchains.pdf

 

Credit Chains and Sectoral Comovement: Does the Use of Trade Credit Amplify Sectoral Shocks?

Claudio Raddatz

 

Click to access Credit_chains_20090512_Complete.pdf

 

A flow network analysis of direct balance-sheet contagion in financial networks

Mario Eboli

Click to access 1862_KWP.pdf

 

Contagion in Financial Networks

Paul Glasserman H. Peyton Young

 

October 20, 2015

Click to access Contagion%20in%20Financial%20Networks.pdf

 

Contagion in Financial Networks

Prasanna Gai and Sujit Kapadia

March 2007

 

Click to access prasanna_gai_-_contagioninfinancialnetworks.pdf

 

The Effect of the Interbank Network Structure on Contagion and Financial Stability

Co-Pierre Georg

Click to access 2011_VISemRiscosBCB_10h40_CoPierreGeorg.pdf

 

Contagion Risk in Financial Networks

Ana Babus

February 2007

Click to access s1p2-babus.pdf

 

Financial Fragility and Contagion in Interbank Networks

Stefano Pegoraro

Click to access Stefano%20Pegoraro.pdf

 

Complexity, concentration and contagion

Prasanna Gai , Andrew Haldane , Sujit Kapadia

Click to access ComplexityConcentrationContagion.JME.GaiHaldaneKapdia2011.pdf

 

Contagion in financial networks : a threat index

Gabrielle Demange∗

May 23, 2011

 

Click to access gdemange_1105.pdf

 

Liquidity and financial contagion

 

TOBIAS ADRIAN HYUN SONG SHIN

 

Click to access etud1_0208.pdf

 

Financial globalization, financial crises and contagion

$ Enrique G. Mendoza Vincenzo Quadrini

Click to access JME2010.pdf

 

The International Finance Multiplier

Paul Krugman

October 2008

 

How Likely is Contagion in Financial Networks?

Paul Glasserman,1 and H. Peyton Young

 

Click to access OFRwp0009_GlassermanYoung_HowLikelyContagionFinancialNetworks.pdf

 

Capital and Contagion in Financial Networks

S. Battiston  G. di Iasio  L. Infante F. Pierobon

Click to access 7ifcconf_infante.pdf

 

Contagion in the Interbank Network: an Epidemiological Approach

Mervi Toivanen

 

Click to access 172550.pdf

 

Complex Financial Networks and Systemic Risk: A Review

Spiros Bougheas and Alan Kirman

 

Click to access cfcm-2014-04.pdf

 

Systemic Risk, Contagion, and Financial Networks: a Survey

Matteo Chinazzi∗ Giorgio Fagiolo†

June 4, 2015

Click to access 2013-08.pdf

 

Systemic Risk and Stability in Financial Networks†

By Daron Acemoglu, Asuman Ozdaglar, and Alireza Tahbaz-Salehi

2015

http://economics.mit.edu/files/10433

 

Financial Contagion in Networks

Antonio Cabrales Douglas Gale

 

Piero Gottardi

Click to access Survey%20Oxford%20Cabrales%20Gale%20Gottardi050315-3.pdf

 

The Formation of Financial Networks

Ana Babus

Click to access formnet.pdf

 

Financial Networks and Contagion

By Matthew Elliott, Benjamin Golub, and Matthew O. Jackson

Click to access financial_networks.pdf

 

Chapter 21: Networks in Finance

Franklin Allen

Ana Babus

Click to access Allen%20and%20Babus%20-%20aug%2020-08-Long-SSRN.pdf

 

Interconnectedness: Building Bridges between Research and Policy

May 8-9, 2014

http://www.imf.org/external/np/seminars/eng/2014/interconnect/

 

Size and complexity in model financial systems

Nimalan Arinaminpathya,1, Sujit Kapadiab, and Robert M. May

 

Click to access 18338.full.pdf

 

Financial system: shock absorber or amplifier?

by Franklin Allen and Elena Carletti

Click to access work257.pdf

 

Transmission Channels of Systemic Risk and Contagion in the European Financial Network

Nikos Paltalidis†, Dimitrios Gounopoulos, Renatas Kizys, Yiannis Koutelidakis

Click to access Transmission_Channels_of_Systemic_Risk_and_Contagion_in_the_European_Financial_Network_FINAL_150215.pdf

 

Systemic risk, contagion and financial networks

https://www.ecb.europa.eu/pub/fsr/shared/pdf/sfcfinancialstabilityreview201511.en.pdf?fc503ff961868d06de9b41f054d5d986

 

Contagion in Banking Networks: The Role of Uncertainty

Stojan Davidovic
Mirta Galesic
Konstantinos Katsikopoulos Amit Kothiyal
Nimalan Arinaminpathy

 

Click to access 16-02-003.pdf

 

Financial Contagion

F Allen and D Gale

2000

Click to access contagion.pdf

 

Liquidity Risk and Contagion

Rodrigo Cifuentes Gianluigi Ferrucci

Hyun Song Shin

2004

Click to access rtf04shin.pdf

 

Information Contagion and Bank Herding

Viral V. Acharya
Tanju Yorulmazer

2006

Click to access acharya_yorulmazer.pdf

 

FINANCIAL CONNECTIONS AND SYSTEMIC RISK

Franklin Allen Ana Babus Elena Carletti

Click to access w16177.pdf

 

Credit Cycles

Nobuhiro Kiyotaki

John Moore

1997

Click to access km.pdf

 

Rethinking the financial network

Speech by Mr Andrew G Haldane,

28 April 2009.

 

Click to access r090505e.pdf

 

Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk

Stefano Battiston Domenico Delli Gatti   Mauro Gallegati , Bruce Greenwald , Joseph E. Stiglitz

 

Click to access 1-s2.0-S0165188912000899-main.pdf

 

 

Risk and Liquidity in a System Context

Hyun Song Shin

2008

Click to access 0518-hshin_riskliquid0.pdf

 

THE SUBPRIME CREDIT CRISIS AND CONTAGION IN FINANCIAL MARKETS

Francis A. Longstaff

2010

Click to access subprime.pdf

 

Balance-Sheet Contagion

Nobuhiro Kiyotaki and John Moore

American Economic Review, 2002, vol. 92, issue 2, pages 46-50

 

Systemic Risk, Interbank Relations and Liquidity Provision by the Central Bank

 

Xavier Freixas, Bruno Parigi and Jean-Charles Rochet

 

Click to access sr047_tcm46-146825.pdf

 

Systemic risk in financial systems

Eisenberg, L., Noe, T., 2001.

 

Click to access EiseNoe01.pdf

 

Systemic Risk and the Financial System

NAS-FRBNY Conference on New Directions in Understanding Systemic Risk

 

Click to access 0518-background.pdf

 

Intermediation and Voluntary Exposure to Counterparty Risk 

Maryam Farboodi

Click to access MaryamFarboodiJMP.pdf

 

Liquidity Sharing and Financial Contagion

John Nash

September 28, 2015

Click to access Nash%20Liquidity%20Sharing.pdf

 

Pathways towards instability in financial networks

 

Marco Bardoscia,1 Stefano Battiston,2 Fabio Caccioli,3, 4 and Guido Caldarelli

Click to access 1602.05883v1.pdf

 

DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk

Stefano Battiston, Michelangelo Pulig, Rahul Kaushik, Paolo Tasca & Guido Caldarelli

 

Click to access srep00541.pdf

 

Risk and Global Economic Architecture: Why Full Financial Integration May Be Undesirable

By Joseph E. Stiglitz

Click to access 2010_Risk_and_Global_Economic.pdf

 

Network Valuation in Financial Systems

Paolo Barucca  Marco Bardoscia Fabio Caccioli, Marco D’Errico1, Gabriele Visentin, Stefano Battiston, and Guido Caldarelli

Click to access 1606.05164.pdf

 

The Price of Complexity in Financial Network

Stefano Battiston, Guido Caldarelli, Robert M. May

Tarik Roukny and Joseph E. Stiglitz

November, 2015

 

Default Cascades in Complex Networks: Topology and Systemic Risk

Tarik Roukny Hugues Bersini1, Hugues Pirotte Guido Caldarelli & Stefano Battiston

 

Click to access srep02759.pdf

 

Network Structure and Systemic Risk in Banking Systems

Rama Cont Amal Moussa Edson Bastos e Santos

December 1, 2010

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.444.2698&rep=rep1&type=pdf

 

 

Systemic Risk and Network Formation in the Interbank Market

Ethan Cohen-Cole  Eleonora Patacchini Yves Zenou

January 10, 2012

Click to access Cohen_Patacchini_Zenou_22.pdf

 

A Network Analysis of the Evolution of the German Interbank Market 

Tarik Roukny† Co-Pierre Georg‡  Stefano Battiston

Click to access working_paper_461.pdf

 

DebtRank: A microscopic foundation for shock propagation

Marco Bardoscia1, Stefano Battiston, Fabio Caccioli, and Guido Caldarelli

Click to access 1504.01857.pdf

 

Balance Sheet Network Analysis of Too-Connected-to-Fail Risk in Global and Domestic Banking Systems

Jorge A. Chan-Lau

Click to access 00b7d529e09499414f000000.pdf

 

Network models and financial stability

Erlend Nier, Jing Yang, Tanju Yorulmazer and Amadeo Alentorn

April 2008

Click to access Nieretal09.pdf

 

Systemic risk in banking ecosystems

 

Andrew G. Haldane & Robert M. May

Click to access 02e7e522449ef4d3b0000000.pdf

 

Resilience to contagion in financial networks

Hamed Amini∗ Rama Cont† Andreea Minca‡

Click to access 1112.5687.pdf

 

‘Too Interconnected To Fail’ Financial Network of US CDS Market: Topological Fragility and Systemic Risk

Sheri Markose1a, Simone Giansanteb, Ali Rais Shaghaghic

 

Click to access Giansante_JEBO_2012_i.pdf

 

Taking Uncertainty Seriously: Simplicity versus Complexity in Financial Regulation

David Aikman and Mirta Galesic and Gerd Gigerenzer and Sujit Kapadia and Konstantinos Katsikopolous and Amit Kothiyal and Emma Murphy and Tobias Neumann

2014

 

Click to access MPRA_paper_59908.pdf

 

Financial Contagion in Networks

Antonio Cabrales, Douglas Gale and Piero Gottardi

http://diana-n.iue.it:8080/bitstream/handle/1814/35258/ECO_2015-01.pdf?sequence=1&isAllowed=y

 

Systemic illiquidity in the interbank network

Gerardo Ferrara, Sam Langfield, Zijun Liu and Tomohiro Ota

April 2016

Click to access swp586.pdf

 

Interconnectedness and Systemic Risk: Lessons from the Financial Crisis and Policy Implications

Remarks by
Janet L. Yellen

 

Click to access Yellen20130104a.pdf

 

SECURITISATION AND FINANCIAL STABILITY

Hyun Song Shin

Click to access securitisation.pdf

 

Crisis Transmission in the Global Banking Network

2016

 

Click to access wp1691.pdf

 

Liquidity risk, cash-flow constraints and systemic feedbacks

Sujit Kapadia, Mathias Drehmann, John Elliott and Gabriel Sterne

2012

Click to access wp456.pdf

 

Systemic Financial Feedbacks – Conceptual Framework and Modeling Implications

Dieter Gramlich and Mikhail V. Oet

 

Click to access P1364.pdf

 

Feedback Mechanisms in the Financial System: A Modern View

Mikhail V. Oet Oleg V. Pavlov

Click to access P1441.pdf

 

 

 

Interdependence in Payment and Settlement Systems

 

From The Payment System

The payment system – which includes financial market infrastructure for payments, securities and derivatives – is a core component of the financial system, alongside markets and institutions. If modern economies are to function smoothly, economic agents have to be able to conduct transactions safely and efficiently. Payment, clearing and settlement arrangements are of fundamental importance for the functioning of the financial system and the conduct of transactions between economic agents in the wider economy. Private individuals, merchants and firms need to have effective and convenient means of making and receiving payments. Moreover, funds, securities and other financial instruments are traded in markets, providing a source of funding and allowing households, firms and other economic actors to invest surplus funds or savings in order to earn a return on their holdings. Active markets facilitate price discovery, the efficient allocation of capital and the sharing of risk between economic actors.

Public trust in payment instruments and systems is vital if they are to effectively support transactions. In financial markets, market liquidity is critically dependent on confidence in the safety and reliability of clearing and settlement arrangements for funds and financial instruments. If they are not managed properly, the legal, financial and operational risks inherent in payment, clearing and settlement activities have the potential to cause major disruption in the financial system and the wider economy.

Banks and other financial institutions are the primary providers of payment and financial services to end users, as well as being major participants in financial markets and important owners and users of systems for the processing, clearing and settlement of funds and financial instruments. The central bank, as the issuer of the currency, the monetary authority and the “bank of banks”, has a key role to play in the payment system and possesses unique responsibilities. It is therefore no coincidence that one of the basic tasks of the ESCB and the ECB is to promote the smooth operation of payment systems. A safe and efficient payment system is of fundamental importance for economic and financial activities and is essential for the conduct of monetary policy and the maintenance of financial stability.

 

From The Payment System

 

The complexity and – in particular – importance of market infrastructure for the handling of payments and financial instruments has increased greatly in recent decades, owing not only to the tremendous increases observed in the volume and value of financial transactions, but also to the wealth of financial innovation and the advances seen in information and communication technologies. Bilateral barter trade is now largely a thing of the past, and instead economic agents buy and sell goods and services (including financial instruments) in markets, making use of the transfer services made available by market infrastructure.

Payment, clearing and settlement systems may differ from country to country in terms of their type and structure, both for historical reasons and on account of differences between countries’ legal, regulatory and institutional environments. Furthermore, rather than being static, payment, clearing and settlement systems and arrangements are dynamic constructions which have evolved over time and will continue to do so in the future. A key priority for central banks is to contribute to the development of modern, robust and efficient market infrastructure which serves the needs of their economies and facilitates the development of safe and efficient financial markets.

All transactions are exposed to a variety of risks, and this is particularly true for financial transactions. Thus, in order to facilitate enhanced risk management, many countries have introduced real-time gross settlement systems for the handling of critical payments. Progress has been made in the implementation of safer and more efficient systems and procedures for the clearing and settlement of securities. Modern securities settlement systems offer delivery-versus-payment mechanisms and allow the effective management of collateral, while foreign exchange transactions are increasingly being settled on a payment-versus-payment basis. In parallel, stronger international trade links, the increased integration of international financial markets (including global derivatives markets) and large migrant flows have all contributed to increased demand for arrangements allowing the cross-border handling of wholesale and retail transactions, raising new issues from a policy and risk perspective.

From The interdependencies of payment and settlement systems

The global payment and settlement infrastructure has changed significantly over the last decade. The myriad of domestic and cross-border systems that make up the global infrastructure are increasingly interconnected through a web of direct and indirect relationships. Through these relationships, the smooth functioning of a single system often becomes contingent on the performance of one or more other systems. In addition, individual systems are often reliant on common third parties, financial markets or other factors. Consequently, the settlement flows, operational processes and even risk management procedures of individual systems are often materially interdependent with those of other systems. As a result, the numerous systems that make up the global clearing and settlement infrastructure have become more tightly interdependent.

This increasing interdependence is driven by several interrelated factors, including technological innovations, globalisation and financial sector consolidation. In addition, a number of initiatives by the financial industry and by public authorities to reduce the costs and risks of settlement have purposely promoted greater integration among the numerous components of the global payment and settlement infrastructure. For example, the 1989 G30 recommendations for T+3 securities settlement, central bank policies encouraging the development and reliance on systems with intraday finality, and the CPSS focus on reducing foreign exchange settlement risk have provided incentives for more straight through processing and tighter relationships among individual systems.3 While these explicit initiatives explain one aspect of tightening interdependencies, institutions’ profit-seeking and cost management incentives also foster interdependencies.

Interdependencies have important implications for the safety and efficiency of the global payment and settlement infrastructure. Some forms of interdependencies have facilitated significant improvements in the safety and efficiency of payment and settlement processes. At the same time, interdependencies increase the potential for a given disruption to spread quickly to many different systems. This potential was noted in the 2000 G10 report on Financial sector consolidation (the Ferguson report), which suggested that interdependencies might accentuate the role of payment and settlement systems in the transmission of disruptions across the financial system, and is further analysed in this report.

The potential for interdependencies to reduce key sources of risk, and yet create new sources of risk, highlights the numerous trade-offs faced by payment and settlement systems, their participants and public authorities. The reduction of one form of risk often comes at the expense of increasing another source of risk, or of increasing costs.

From Congestion and Cascades in Interdependent Payment Systems

 

The report identifies three different types of interdependencies. System-based interdependency, which includes payment versus payment (PvP) or delivery versus payment arrangements (DvP)4 as well as liquidity bridges between systems. Institution-based interdependence which arises when, for example, a single institution participates in, or provides settlement services to, several systems. The third type is environmental-based interdependency which can emerge if multiple systems depend on a common service provider, for example the messaging service provider SWIFT.

 

From Illiquidity in the Interbank Payment System following Wide-Scale Disruptions

 

At the apex of the U.S. financial system are a number of critical financial markets that provide the means for both domestic and international financial institutions to allocate capital and manage their exposures to liquidity, market, credit and other types of risks. These markets include Federal funds, foreign exchange, commercial paper, government and agency securities, corporate debt, equity securities and derivatives. Critical to the smooth functioning of these markets are a set of wholesale payments systems and financial infrastructures that facilitate clearing and settlement.1 Operational difficulties of these entities or their participants can create difficulties for other systems, infrastructures and participants. Such spill overs might cause liquidity shortages or credit problems and hence potentially impair the functioning and stability of the entire financial system.

 

Key Sources of Research:

 

The interdependencies of payment and settlement systems

BIS

2008

Click to access d84.pdf

 

The Payment System

ECB

2010

Click to access paymentsystem201009en.pdf

 

Interdependencies of payment and settlement systems: the Hong Kong experience

HONG KONG MONETARY AUTHORITY QUARTERLY BULLETIN

MARCH 2009

Click to access fa2_print.pdf

 

Congestion and Cascades in Interdependent Payment Systems

 

Fabien Renault, Walter E. Beyeler,  Robert J. Glass, Kimmo Soramäki,  Morten L. Bech

March 16, 2009

 

Click to access CongestionAndCascadesInCoupledPaymentSystems3_30_09_SAND2009-2175J.pdf

 

Eurozone payment and securities settlement systems interdependence:

Will consolidation initiatives lead to contagion; who is accountable?

February 2004

Click to access policy_paper_full_120204.pdf

 

Recent developments in intraday liquidity in payment and settlement systems

FRÉDÉRIC HERVO

Payment systems and Market Infrastructure Directorate

 

Click to access etud15_0208.pdf

 

Precautionary Demand and Liquidity in Payment Systems

Gara M. Afonso and Hyun Song Shin

August 2010

 

Click to access sr352.pdf

 

Banque de France – European Central Bank: Liquidity in interdependent transfer systems

2008

https://www.banque-france.fr/en/economics-statistics/research/seminars-and-symposiums/banque-de-france-european-central-bank-liquidity-in-interdependent-transfer-systems.html

 

Interlinkages between Payment and Securities Settlement Systems

David C. Mills, Jr.y Samia Y. Husain

September 4, 2009

Click to access 2-Mills-Husain.pdf

 

Risk and Concentration in Payment and Securities Settlement Systems

 

David C. Mills, Jr. and Travis D. Nesmith 2007-62

 

Click to access 200762pap.pdf

 

Simulation studies of liquidity needs, risks and efficiency in payment networks

Proceedings from the Bank of Finland Payment and Settlement System Seminars 2005–2006

Harry Leinonen (ed.)

Click to access BoF_2007_Proceedings.pdf

 

Managing Operational Risk in Payment, Clearing, and Settlement Systems

Kim McPhail

 

Click to access wp03-2.pdf

 

Liquidity, risks and speed in payment and settlement systems – a simulation approach

 

Harry Leinonen (ed.)

2005

Click to access 118263.pdf

 

SELECTED ISSUES ON LIQUIDITY RISK MANAGEMENT IN FEDWIRE FUNDS AND PRIVATE SECTOR PAYMENT SYSTEMS

TECHNICAL NOTE MAY 2010

 

Click to access FSAP_Technical%20Note_Payment%20Systems_Liquidity%20Risk%20Management_Final_5%2011%2010.pdf

 

The role of time-critical liquidity in financial markets

David Marshall and Robert Steigerwald

2013

https://www.chicagofed.org/…/2q2013-part1-marsha…

 

Illiquidity in the Interbank Payment System following Wide-Scale Disruptions

Morten L. Bech Rod Garratt

2006

Click to access sr239.pdf

 

Progress in reducing foreign exchange settlement risk

Committee on Payment and Settlement Systems

May 2008

Click to access d83.pdf

 

Financial market utilities and the challenge of just-in-time liquidity

by Richard Heckinger, David Marshall, and Robert Steigerwald

2009

Click to access pdp2009-4-pdf.pdf

 

Diagnostics for the financial markets – computational studies of payment system

Simulator Seminar Proceedings 2009–2011

2009

Click to access E45_Chapter_11.pdf

 

Congestion and Cascades in Coupled Payment Systems

Fabien Renault, Walter E. Beyeler, Robert J. Glass, Kimmo Soramäki and Morten L. Bech

October 31, 2007

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.451.8166&rep=rep1&type=pdf