Annals of Finance

, Volume 13, Issue 4, pp 435–451 | Cite as

Stock markets fragmentation, volatility and final investors

Research Article
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Abstract

The 2000s in equity markets are marked by two major regulatory shocks: RegNMS in the United States, and MiFID in the European Union. Simultaneously, there is a massive increase in the proportion of high-frequency trading, and market orders volume. However, trading volumes do not significantly increase. We propose a theoretical model describing the effects of stock markets fragmentation on two types of investors optimization problems: “intermediary” high-frequency and “final” investors. Volatility has a permanent and a transitory component, whose weights depend on market fragmentation via the share of non-marketable orders of intermediary investors. The trading volume of final investors depends on market fragmentation both directly via transaction costs, and indirectly via total volatility. Finally a shock in fragmentation may lead to a decrease in trading volume, enhanced in the case of an equity markets crisis by a rise in the components of volatility.

Keywords

Stock markets fragmentation Final investors Intermediary investors Implicit transaction costs Volatility 

JEL Classification

E44 G18 

Notes

Acknowledgements

The author wishes to thank Gunther Capelle Blancard, Thierry Foucault, Ali Kutan, Delphine Lahet, Charles Albert Lehalle, Catherine Lubochinsky, Nadine Marchand, Simon Neaime, Catherine Refait-Alexandre, Maya Shaton, Dominique Torre, Anne-Gael Vaubourg and Laurent Weill for their remarks and suggestions. I also thank for their comments on earlier versions of this paper the participants to the 31th International Symposium on Money, Banking and Finance (Lyon, 19–20 June 2014), the 32nd International Symposium on Money, Banking and Finance (Nice, 11–12 June 2015), the 3rd Bordeaux Workshop in International Economics and Finance (Bordeaux, 11 December 2015), and the 2015 Paris Financial Management Conference (Paris, 14–15 December 2015). Finally I am grateful to the Editor and the referee for their careful reading of the paper and their suggestions.

References

  1. Baldauf, M., Mollner, J.: High-frequency trading and market performance. Available at SSRN 2674767 (2015)Google Scholar
  2. Biais, B., Weill, P.O.: Liquidity shocks and order book dynamics. Tech. Rep., National Bureau of Economic Research (2009)Google Scholar
  3. Biais, B., Foucault, T., Moinas, S.: Equilibrium fast trading. J Financ Econ 116(2), 292–313 (2015)CrossRefGoogle Scholar
  4. Boulatov, A., Bernhardt, D.: Robustness of equilibrium in the Kyle model of informed speculation. Ann Finance 11(3–4), 297–318 (2015). doi: 10.1007/s10436-015-0264-2 CrossRefGoogle Scholar
  5. Brogaard, J., Hendershott, T., Riordan, R.: High-frequency trading and price discovery. Rev Financ Stud 27(8), 2267–2306 (2014)CrossRefGoogle Scholar
  6. Cantillon, E., Yin, P.L.: Competition between exchanges: a research agenda. Int J Ind Organ 29(3), 329–336 (2011)CrossRefGoogle Scholar
  7. Chaboud, A.P., Chiquoine, B., Hjalmarsson, E., Vega, C.: Rise of the machines: algorithmic trading in the foreign exchange market. J Finance 69(5), 2045–2084 (2014)CrossRefGoogle Scholar
  8. Chlistalla, M., Lutat, M.: Competition in securities markets: the impact on liquidity. Financ Mark Portfolio Manag 25(2), 149–172 (2011)CrossRefGoogle Scholar
  9. Cvitanic, J., Kirilenko, A.A.: High frequency traders and asset prices. SSRN Electron J (2010). doi: 10.2139/ssrn.1569067 Google Scholar
  10. Easley, D., Kiefer, N.M., O’Hara, M.: Cream-skimming or profit-sharing? The curious role of purchased order flow. J Finance 51(3), 811–833 (1996)CrossRefGoogle Scholar
  11. Easley, D., Lopez de Prado, M.M., O’Hara, M.: The volume clock: insights into the high-frequency paradigm. J Portfolio Manag 39(1):19–29 (2012). http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=83770492&lang=fr&site=ehost-live
  12. Ellison, G., Fudenberg, D.: Knife-edge or plateau: When do market models tip? Q J Econ 118(4), 1249–1278 (2003)CrossRefGoogle Scholar
  13. Ende, B., Lutat, M.: Trade-throughs in European cross-traded equities after transaction costs: empirical evidence for the EURO STOXX 50. Tech. Rep., CFS Working Paper (2010)Google Scholar
  14. Figueroa-López, J.E.: Statistical estimation of Lévy-type stochastic volatility models. Ann Finance 8(2–3), 309–335 (2012). doi: 10.1007/s10436-010-0150-x CrossRefGoogle Scholar
  15. Foucault, T., Kadan, O., Kandel, E.: Liquidity cycles and make/take fees in electronic markets. J Finance 68(1), 299–341 (2013). doi: 10.1111/j.1540-6261.2012.01801.x CrossRefGoogle Scholar
  16. Francotte, P., Valiante, D., Lannoo, K.: MiFID 2.0: Casting new light on Europe’s capital markets. Report of the ECMI-CEPS task force on the MIFID review, Centre for European Policy Studies, Brussels (2011)Google Scholar
  17. Gümbel, A.: Should short-term speculators be taxed, or subsidised? Ann Finance 1(3), 327–348 (2005). doi: 10.1007/s10436-004-0009-0 CrossRefGoogle Scholar
  18. Gomber, P., Arndt, B., Lutat, M., Uhle, T.: High-frequency trading. Available at SSRN 1858626 (2011)Google Scholar
  19. Gresse, C.: Effects of lit and dark trading venue competition on liquidity: the MiFID experience. Available at SSRN 1918473 (2012)Google Scholar
  20. Grillet-Aubert, L.: Négociation d’actions: une revue de la litterature à l’usage des régulateurs de marché. Tech. Rep. 9, Autorité des Marches Financiers, Paris (2010)Google Scholar
  21. Hamilton, J.L.: Marketplace fragmentation, competition, and the efficiency of the stock exchange. J Finance 34(1), 171–187 (1979)CrossRefGoogle Scholar
  22. Harris, L., Mayhew, S.: Market Fragmentation Metrics. Tech. Rep., working paper (2005)Google Scholar
  23. Hendershott, T., Jones, C.M., Menkveld, A.J.: Does algorithmic trading improve liquidity? J Finance 66(1), 1–33 (2011)CrossRefGoogle Scholar
  24. Kirilenko, A.A., Kyle, A.S., Samadi, M., Tuzun, T.: The flash crash: the impact of high frequency trading on an electronic market. Available at SSRN 1686004 (2014)Google Scholar
  25. Madhavan, A.: Exchange-traded funds, market structure, and the flash crash. Financ Anal J 68(4), 20–35 (2012)CrossRefGoogle Scholar
  26. Menkveld, A.J.: High frequency trading and the new market makers. J Financ Mark 16(4), 712–740 (2013)CrossRefGoogle Scholar
  27. NANEX (2012) HFT Doesn’t Harm Investors. http://www.nanex.net/aqck2/3532.html
  28. Pagano, M.: Trading volume and asset liquidity. Q J Econ 104(2), 255–274 (1989)CrossRefGoogle Scholar
  29. Pagnotta, E., Philippon, T.: Competing on speed. Tech. Rep. 17652, National Bureau of Economic Research (2011)Google Scholar
  30. Sandoval, L.: Pruning a minimum spanning tree. Physica A Stat Mech Appl 391(8), 2678–2711 (2012)CrossRefGoogle Scholar
  31. Soltani, B., Mai, H.M., Jerbi, M.: Transparency and market quality: an analysis of the effect of MiFID on Euronext. In: International Conference of the French Finance Association (AFFI) (2011)Google Scholar
  32. Zhang, F.: High-frequency trading, stock volatility, and price discovery. Available at SSRN 1691679 (2010)Google Scholar
  33. Zhang, L., Mykland, P.A., Aït-Sahalia, Y.: A tale of two time scales. J Am Stat Assoc 100(472), 1394–1411 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.LEADUniversité de ToulonToulonFrance
  2. 2.CAC IXXIENS LyonLyonFrance
  3. 3.ToulonFrance

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