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Network Analysis for Market Surveillance

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2018-12-14
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Copyright (c) 2018 Gergely Szőts, Gábor Nagy

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Szots, G., & Nagy, G. (2018). Network Analysis for Market Surveillance. Competitio, 17(1-2), 19-33. https://doi.org/10.21845/comp/2018/1-2/2
Abstract

Our analysis has focused on the network structure of the credit default swap (CDS) market because relatively few publications have appeared on this segment of the financial market. The article puts emphasis on a proposed new supervisory tool which uses network science in market surveillance of the Hungarian financial market. Our research results are compared to those of a previously published ESMA analysis, where the writers applied network science to analyze financial market contagion risks. As a result, the article concludes that the Hungarian sovereign CDS market network structure is similar to the European one in the sense that it is highly concentrated.

Journal of Economic Literature (JEL) codes: G14, C45

References
  1. Albert, R. – Barabási-Albert, L. – Jeong, H. (2000): Attack and Error Tolerance of Complex Networks. Nature, Vol. 406., pp. 378–382. https://doi.org/10.1038/35019019
  2. Allen, F. — Babus, A. (2009): Networks in finance. In Kleindorfer, P. — Wind, Y. —Gunther, R. (eds): The network challenge: strategy, profit, and risk in an interlinked world.http://finance.wharton.upenn.edu/~allenf/download/Vita/Allen%20and%20Babus%20-%20aug%2020-08-Long-SSRN.pdf, Letöltve: 2018.10.31.
  3. Antón, M. — Mayordomo, S., — Rodríguez-Moreno, M. (2017). Dealing with dealers: Sovereign CDS comovements in Europe. Working Paper 1723. https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/17/Fich/dt1723e.pdf, Letöltve: 2018.10.31.
  4. Banai, Á. — Kollarik, A. — Szabó-Solticzky, A. (2015): Topology of the foreign currency/forint swap market. Financial and Economic Review, Vol. 14 Issue 2., June 2015, pp. 128–157. http://english.hitelintezetiszemle.hu/letoltes/5-banai-kollarik-szabo-en.pdf, Letöltve: 2018.10.31.
  5. Barabási-Albert, L. (2013): Behálózva. Helikon, Budapest.
  6. Bodnár, L. (2017): A hazai nagy értékű fizetési rendszer hálózatának jellemzői és evolúciója az elmúlt évtizedben. In MNB-tanulmányok 132. https://www.mnb.hu/letoltes/mnb-tanulmany-132-vegleges.pdf, Letöltve: 2018.10.31.
  7. Clerc, L. — Gabrieli S. — Kern S. — El Omaris Y. (2013): Assessing contagion risk through the network structure of CDS exposures on European reference entities. Banque de France.
  8. Clerc, L. — Gabrieli S. — Kern S. — El Omaris Y. (2014): Monitoring the European CDS Market through networks: Implications for contagion risks. ESMA Working Paper, No. 1, 2014. https://doi.org/10.2139/ssrn.2414371
  9. Csizmár, T. (2012): Bennfentesek nyomában, avagy mit tudtak a Tőzsdecápák, amit más nem. Hitelintézeti Szemle 11. évfolyam 4. szám, p. 325-359.
  10. Fontana, A. — Scheicher (2010): An Analysis of Euro Area Sovereign CDS and their Relation with Government Bonds. ECB Working Paper 1271.
  11. Gross, J. L. —Yellen, J. (2005): Graph Theory and Its Applications (Textbooks in Matematics). Chapman and Hall/CRC.
  12. Markose et al. (2010): Too Interconnected To Fail: Financial Contagion and Systemic Risk In Network Model of CDS and Other Credit Enhancement Obligations of US Banks. Presentation given at the ECB Workshop on Recent Advances in Modelling Systemic Risk Using network, October 2009, COMISEF Working Papers Series WPS-033 21/04/2010, 2010.
  13. Minenna, M. (2003): The detection of market abuse on financial markets: a quantitative approach. CONSOB Quaderni di Finanza, N. 54 – Maggio 2003 (English version).
  14. Peltonen, T.— Scheicher, M. — Vuillemey G. (2013): The Network Structure of the CDS market and its Determinants. European Central Bank.
  15. Európai Bizottság (2014): A Bizottság jelentése az Európai Parlamentnek, a Tanácsnak, az Európai Gazdasági és Szociális Bizottságnak és a Régiók Bizottságának,
  16. évi jelentés a versenypolitikáról, Brüsszel, 2014.5.6., COM(2014) 249. http://ec.europa.eu/competition/publications/annual_report/2013/part1_hu.pdf, Letöltve: 2018.10.31.
  17. Watts, D. J.– Strogatz, S. H. (1998): Collective Dynamics of ‚Small-World’ Networks. Nature, 393. 440–442. o. https://doi.org/10.1038/30918
  18. Sun, X-Q. — Shen, H-W. — Cheng, X-Q —Zhang, Y. (2017): Detecting anomalous traders using multi-slice network analysis. Physica A 473 (2017) 1–9, http://www.bigdatalab.ac.cn/~shenhuawei/publications/2017/pa-sun.pdf, Letöltve: 2017.11.06.