ECB promotes research on emerging front: “Too networked to fail”

The ECB conference "Recent advances in modelling systemic risk using network analysis" was featured today in Securities Operations Week – a weekly publication focused on US and global securities operations, technology and compliance:

"The financial crisis that began to emerge in 2007 and that gained steam in 2008 famously gave rise to the oft-cited slogan “too big to fail.” It also saw the coinage of a lesser-known catchphrase kicked around commonly now in research circles: “too networked to fail". A summation released last week by the European Central Bank offers what may be the best discussion to date on the subject. [read the full article (pdf)]

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Network Analysis and Canada’s Large Value Transfer System

A recent paper by Lana Embree and Tom Roberts looks at the daily and intraday network structure of payment activity in the Canadian Large Value Transfer System (LVTS). The paper provides a good overview of the concepts and a nice comparison of emprical research in several payment networks. For LVTS they find that it is highly centralized among a few key participants similar to other interbank payment systems. They conclude that this could heighten the systemic importance of these participants, and the susceptibility of the system to financial contagion.
Large Value Transfer System (LVTS)

Large Value Transfer System (LVTS)

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New research on financial networks from 2009

The year 2009 is now gone and its time to look back at the research on financial networks and related topics from that year. Here are some that I found. Please help me add to the list.

Liasons Dangereuses: Incresing connectivity, risk sharing and systemic risk (by Stefano Battiston, Domenico Delli Gatti, Mauro Gallegati, Bruce C. Greenwald and Joseph E. Stiglitz). [link]

Rethinking the Financial Network (A speech by Andrew Haldane t the Financial Student Association, Amsterdam April 2009). [link]

On the Informational Properties of Trading Networks (by Lada Adamic, Celso Brunetti, Jeffrey H. Harris, and Andrei A. Kirilenko). [link]

The Financial Crisis and the Systemic Failure of Academic Economics (by David Colander, Hans Föllmer, Armin Haas, Michael D. Goldberg, Katarina Juselius, Alan Kirman, Thomas Lux, and Birgitte Sloth). Univ. of Copenhagen Dept. of Economics Discussion Paper No. 09-03. [link]

Identifying Community Structures from Network Data via Maximum Likelihood Methods (by Jernej Copi, Matthew O. Jackson, and Alan Kirman), The B.E. Journal of Theoretical Economics: Vol. 9 : Iss. 1 (Contributions), Article 30. [link]

Pedro Romero has three papers on banking networks: "The Evolution of Economic Networks" [link], "Banking Crises and Institutional Arrangements". [link], and "Bank Runs, Banking Contracts, and Social Networks" [link]

A Comparison of the Director Networks of the Main Listed Companies in France, Germany, Italy, the United Kingdom, and the United States (by Paolo Santella, Carlo Drago, Andrea Polo, and Enrico Gagliardi). [link]

Structure and Stability in Payment Networks – A Panel Data Analysis of ARTIS Simulations (by Stefan Schmitz and Claus Puhr). [link]

Visualizing Stock-Mutual Fund Relationships through Social Network Analysis (by Rafael Solis), Global Journal of Finance and Banking Issues Vol. 3. No. 3. 2009. [link]

The sterling unsecured loan market during 2006–2008: insights from network topology (Anne Wetherilt, Peter Zimmerman and Kimmo Soramaki); in Leinonen (ed) Simulation analyses and stress testing of payment networks, Bank of Finland Scientific monographs E:42. [link]

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Financial Network Analyzer v1.0 beta released

After a little over a month of development, beta version 1.0 of the tool is now ready. It is an open source project sponsored by Norges Bank. The code is available at fna.sourceforge.net (get in touch with me to participate) and the documentation on Google docs. Currently the tool has a command line user interface and its main features include:

  • Construction of networks from payment/trade data where an arc (link) is established if a payment/trade takes place between the banks. Further payments/trades add to the weight of the arc. Aggregation interval can be based on the number of payments/trades, on their value or on their timing (e.g. daily networks)
  • The networks generated can be edited (transposed, made symmetric) and vertices (nodes) can be dropped based on any of their properties that are calculated (e.g. all nodes without outgoing links or smaller than some threshold value)
  • A number of statistics can be calculated for the vertices and arcs, e.g. betweenness centrality, random walk betweenness, eigenvector centrality, PageRank, HITS, average shortest paths, reciprocity, eccentricity, strength, loops and degree. Strong and weak components of the network can be identified.
  • Networks, vertices and arcs and their properties can be viewed on screen
  • Networks can be saved as vertex/arclists or in Pajek format to f ile for further analysis.

To install the tool simply download fna1.0b and copy the contents of the .zip file to some directory. You start the program from start.bat. You can try that it works by typing:

run -file data/script.txt

it runs script.txt file (in /data folder) which contains some commands to build and analyze networks created from example data (also under the /data folder). Please let me know of any bugs or needs for improvement.

For other similar tools, see the Social network analysis software article on wikipedia

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Wrapping up 2009

The year is coming to an end and it a good time to look back at how this blog evolved during the year. I started it in March 2008 mainly as my personal blog but as I noticed that most of the articles covered financial networks in one sense or another, and that there was no other blog on the emerging area of financial networks research – I redesigned it during this year to what you see now. I also set up a LinkedId group to bring people working in the area together and for disseminating information on new research or conferences in the area. Please join if you are at LinkedIn.

Of course it is also interesting to know if anyone is reading this blog? According to Google Analytics installed on the site there is quite a steady readership of 80-100 unique visitors each week. Between 15 November and 15 December there were a total of 605 visits and 1667 page views. I think this is pretty good and motivates me to do an even better job in 2010. The below map shows the geographic distribution of the visitors.

Merry Christmas/Holidays and a Happy New Year to all the readers!

fna-blog-stats

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Workshop on Financial Networks and Risk Assessment

MITACS is organizing a Workshop on Financial Networks and Risk Assessment, taking place in Toronto from May 19 to May 21, 2010. The workshop is part of the MITACS International Focus Period on Advances in Network Analysis and its Applications and will be attended by 30-50 specialists in the field (from academia and business) as well as students. The 3 day event will consist of plenary talks, tutorials and contributed talks.

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Financial Network Analyzer project begins

I started a project with Norges Bank to develop an easy and comprehensive tool specifically geared towards creating and analysing financial networks constructed of trade or payment data. Its is an open source project and the program and code will be available at fna.sourceforge.net already during the development phase. The first phase of development for a command line utility is expected to be completed within this year. Specifications for the project are available as a Google document. All feedback and contributions to the project are welcomed.

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SNA conferences for 2010

A few conference announcements from INSNA mailing list:

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The Feasibility of Systemic Risk Measurement

testimony by Andrew Lo for the U.S. House of Representatives Financial Services Committee for its hearing on systemic risk regulation, held October 29, 2009. It proposes two major measures that could alleviate the next big financial crisis.

First, new legislation that provides more transparency on a confidential basis to regulators on financial institutions activities. This would allow measuring systemic risk using a variety of methods such as developing "network maps".

Second, establishing a Capital Markets Safety Board” (CMSB) devoted to measuring, tracking, and investigating systemic risk events. The board would manage the related data and analyse every financial wreckage in a similar manner as National Transportation Safety Board (NTSB) examines e.g. ariplane crashes.

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Informational Properties of Trading Networks

There is a new interesting paper "On the Informational Properties of Trading Networks" by Adamic, Brunetti Harris and Kirilenko using transaction level data for all regular transactions in September 2008 E-mini S&P 500 futures contracts.

They construct networks from executed trades and then look at the structure of these networks and relate them to returns, volatility, volume, and duration. Interestingly they find that assortativity, low clustering coefficient and connectedness are positively related to returns and volume and negatively related to duration and volatility. In contrast, topologies with centralization and assortativity close to zero, high transitivity and high connectedness are associated with average returns and volatility, and positively related to volume and duration.

They construct networks from executed trades and then then look at the structure of these networks and related them to returns, volatility, volume, and duration of the trades.
. Interestingly they find that assortativity, low clustering coefficient and connectedness–are positively related to returns and volume and negatively related to duration and volatility. In contrast,
topologies with centralization and assortativity close to zero, high transitivity and high connectedness–are associated with average returns and volatility, and positively related to volume and duration.
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