IDEAS home Printed from https://ideas.repec.org/a/bfr/fisrev/20111710.html
   My bibliography  Save this article

The importance of data quality for effective financial stability policies – Legal entity identifier: a first step towards necessary financial data reforms

Author

Listed:
  • Jenkinson, N.
  • Leonova, I. S.

Abstract

The success of any type of risk management activity, including financial stability monitoring and policy implementation, depends on the quality, completeness and timeliness of the data underpinning the analysis. The recent breakdown in some over-the-counter (OTC) derivatives markets is often attributed to the opaqueness of the markets and a lack of consistent, accurate data to support both internal (risk management) and external (regulatory supervision) analysis. The quality of data in the markets from which OTC derivatives “derive” is not generally perceived to be much better. In practice, the sharp increase in the global interconnectedness of financial markets has necessitated a shift in the analytical approach for financial stability monitoring and policy development from a historic institution by institution and sector based framework to a new framework that focuses on risks to the system as a whole and that analyses the financial system as a complex adaptive system. The new framework requires investment in new approaches to financial data based on the uniform representation and definition (standardisation) of the key elements, whether referencing an entity, a product, an instrument, a contract, etc. Such elements may be regarded as building blocks which together allow flexible data aggregation to support multiple policy objectives. While there has been substantial progress in the global initiative to standardise the identification of entities in a universally acceptable manner, through the legal entity identifier system, the broader and more complex question of the standardisation of the depiction of financial products/instruments/contracts across markets and geographies remains an important challenge for policy makers to address.

Suggested Citation

  • Jenkinson, N. & Leonova, I. S., 2013. "The importance of data quality for effective financial stability policies – Legal entity identifier: a first step towards necessary financial data reforms," Financial Stability Review, Banque de France, issue 17, pages 101-110, April.
  • Handle: RePEc:bfr:fisrev:2011:17:10
    as

    Download full text from publisher

    File URL: https://publications.banque-france.fr/sites/default/files/medias/documents/financial-stability-review-17_2013-04.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hajime Inaoka & Takuto Ninomiya & Ken Taniguchi & Tokiko Shimizu & Hideki Takayasu, 2004. "Fractal Network derived from banking transaction -- An analysis of network structures formed by financial institutions --," Bank of Japan Working Paper Series 04-E-4, Bank of Japan.
    2. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bier, Vicki & Gutfraind, Alexander, 2019. "Risk analysis beyond vulnerability and resilience – characterizing the defensibility of critical systems," European Journal of Operational Research, Elsevier, vol. 276(2), pages 626-636.
    2. Citera, Emanuele & Sau, Lino, 2019. "Complexity, Conventions and Instability: the role of monetary policy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201924, University of Turin.
    3. David Calnitsky & Asher Dupuy-Spencer, 2013. "The economic consequences of homo economicus: neoclassical economic theory and the fallacy of market optimality," The Journal of Philosophical Economics, Bucharest Academy of Economic Studies, The Journal of Philosophical Economics, vol. 6(2), May.
    4. Karl Finger & Daniel Fricke & Thomas Lux, 2013. "Network analysis of the e-MID overnight money market: the informational value of different aggregation levels for intrinsic dynamic processes," Computational Management Science, Springer, vol. 10(2), pages 187-211, June.
    5. Theodosio, Bruno Miller & Weber, Jan, 2023. "Back to the classics: R-evolution towards statistical equilibria," ifso working paper series 28, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    6. Jeffery S. McMullen & Dimo Dimov, 2013. "Time and the Entrepreneurial Journey: The Problems and Promise of Studying Entrepreneurship as a Process," Journal of Management Studies, Wiley Blackwell, vol. 50(8), pages 1481-1512, December.
    7. Carlos León & Jhonatan Pérez & Luc Renneboog, 2014. "A multi-layer network of the sovereign securities market," Borradores de Economia 840, Banco de la Republica de Colombia.
    8. Bech, Morten L. & Atalay, Enghin, 2010. "The topology of the federal funds market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5223-5246.
    9. JeongWook Son, 2022. "Complexity and Dynamics in Construction Project Organizations," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    10. Leventides, John & Loukaki, Kalliopi & Papavassiliou, Vassilios G., 2019. "Simulating financial contagion dynamics in random interbank networks," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 500-525.
    11. Andrew W. Bausch, 2014. "Evolving intergroup cooperation," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 369-393, December.
    12. Luca PIOVANO & David GARRIDO & Ricardo SILVA & Iris GALLOSO, 2014. "What (Smart) Data Visualizations Can Offer to Smart City Science," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(96), pages 89-112, 4th quart.
    13. Levent Yilmaz, 2011. "Toward Multi-Level, Multi-Theoretical Model Portfolios for Scientific Enterprise Workforce Dynamics," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-2.
    14. G. Cimini & M. Medo & T. Zhou & D. Wei & Y.-C. Zhang, 2011. "Heterogeneity, quality, and reputation in an adaptive recommendation model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 80(2), pages 201-208, March.
    15. Finger, Karl & Lux, Thomas, 2014. "Friendship Between Banks: An Application of an Actor-Oriented Model of Network Formation on Interbank Credit Relations," FinMaP-Working Papers 1, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    16. Dedeurwaerdere, Tom & Polard, Audrey & Melindi-Ghidi, Paolo, 2015. "The role of network bridging organisations in compensation payments for agri-environmental services under the EU Common Agricultural Policy," Ecological Economics, Elsevier, vol. 119(C), pages 24-38.
    17. van de Kaa, Geerten & de Bruijn, Hans, 2015. "Platforms and incentives for consensus building on complex ICT systems: The development of WiFi," Telecommunications Policy, Elsevier, vol. 39(7), pages 580-589.
    18. Mark Lubell & Adam Douglas Henry & Mike McCoy, 2010. "Collaborative Institutions in an Ecology of Games," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 287-300, April.
    19. Caballero, Julián, 2012. "Banking Crises and Financial Integration," IDB Publications (Working Papers) 4198, Inter-American Development Bank.
    20. Maciejczak, Mariusz, 2015. "How To Analyze Bioeconomy?," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2015(6), December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bfr:fisrev:2011:17:10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael brassart (email available below). General contact details of provider: https://edirc.repec.org/data/bdfgvfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.