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Stock markets fragmentation, volatility and final investors

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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.

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Notes

  1. It should be noted, moreover, that these indicators may underestimate fragmentation. First, they take into account trading, and not the whole orders volume (Madhavan 2012). Secondly, they do not include “dark pools” and off-book transactions. Alternative calculation methods exist (Harris and Mayhew 2005), but the corresponding indicators are not available.

  2. The extremely low level of the trades/quotes ratio for the CAC40 might be explained by the fact that France tends to replace The Netherlands as the main hub of network representations of continental Europe securities markets. This process is highlighted, in particular, by topological representations derived from the common component of assets prices dynamics (Sandoval 2012). This atypically high degree of integration of French equity markets is likely to cause specific high-frequency investors strategies.

  3. The National Best Bid and Offer (NBBO) system identifies at any moment the lowest ask and highest bid price for a given security among all venues. “Cohesion was supposedly ensured in the U.S. through a mechanism for the consolidation of individual orders processed via multiple venues [...] Reg NMS accomplished its goal of creating a single virtual market with many points of entry” (Easley et al. 2012).

  4. This result on the effect of information asymmetries is specific to a context of fragmentation, generating price differentials between different venues and thus an increased profitability of high-frequency transactions. When this is not the case, even if market operators make (small) errors in their assessment of the strategies of other agents, the market equilibrium is not necessarily affected (Boulatov and Bernhardt 2015). Short-term trades by informed speculators are even likely to exert a favorable externality on the amount of long-term transactions (Gümbel 2005).

  5. For a theoretical basis see Foucault et al. (2013). The speed of reaction to trading opportunities is endogenous since traders face a trade-off between the benefit generated by being the first to seize an opportunity and the cost required to achieve this result.

  6. In addition, there may be a reciprocal relationship between volatility and liquidity (Francotte et al. 2011).

  7. We ignore for the sake of simplicity the horizontal (lower bound) part of Eq. (13). For the values of \(\gamma _{1}\), \(\gamma _{2}\), \(\sigma _{t_{0}}\) and \(\sigma _{t_{2}}\) used in the example of Fig. 4, this horizontal part corresponds to a market fragmentation which is several times greater than that of the United States equity markets, currently by far the highest.

References

  • Baldauf, M., Mollner, J.: High-frequency trading and market performance. Available at SSRN 2674767 (2015)

  • Biais, B., Weill, P.O.: Liquidity shocks and order book dynamics. Tech. Rep., National Bureau of Economic Research (2009)

  • Biais, B., Foucault, T., Moinas, S.: Equilibrium fast trading. J Financ Econ 116(2), 292–313 (2015)

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Brogaard, J., Hendershott, T., Riordan, R.: High-frequency trading and price discovery. Rev Financ Stud 27(8), 2267–2306 (2014)

    Article  Google Scholar 

  • Cantillon, E., Yin, P.L.: Competition between exchanges: a research agenda. Int J Ind Organ 29(3), 329–336 (2011)

    Article  Google Scholar 

  • 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)

    Article  Google Scholar 

  • Chlistalla, M., Lutat, M.: Competition in securities markets: the impact on liquidity. Financ Mark Portfolio Manag 25(2), 149–172 (2011)

    Article  Google Scholar 

  • Cvitanic, J., Kirilenko, A.A.: High frequency traders and asset prices. SSRN Electron J (2010). doi:10.2139/ssrn.1569067

    Google Scholar 

  • 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)

    Article  Google Scholar 

  • 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

  • Ellison, G., Fudenberg, D.: Knife-edge or plateau: When do market models tip? Q J Econ 118(4), 1249–1278 (2003)

    Article  Google Scholar 

  • 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)

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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)

  • Gümbel, A.: Should short-term speculators be taxed, or subsidised? Ann Finance 1(3), 327–348 (2005). doi:10.1007/s10436-004-0009-0

    Article  Google Scholar 

  • Gomber, P., Arndt, B., Lutat, M., Uhle, T.: High-frequency trading. Available at SSRN 1858626 (2011)

  • Gresse, C.: Effects of lit and dark trading venue competition on liquidity: the MiFID experience. Available at SSRN 1918473 (2012)

  • 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)

  • Hamilton, J.L.: Marketplace fragmentation, competition, and the efficiency of the stock exchange. J Finance 34(1), 171–187 (1979)

    Article  Google Scholar 

  • Harris, L., Mayhew, S.: Market Fragmentation Metrics. Tech. Rep., working paper (2005)

  • Hendershott, T., Jones, C.M., Menkveld, A.J.: Does algorithmic trading improve liquidity? J Finance 66(1), 1–33 (2011)

    Article  Google Scholar 

  • 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)

  • Madhavan, A.: Exchange-traded funds, market structure, and the flash crash. Financ Anal J 68(4), 20–35 (2012)

    Article  Google Scholar 

  • Menkveld, A.J.: High frequency trading and the new market makers. J Financ Mark 16(4), 712–740 (2013)

    Article  Google Scholar 

  • NANEX (2012) HFT Doesn’t Harm Investors. http://www.nanex.net/aqck2/3532.html

  • Pagano, M.: Trading volume and asset liquidity. Q J Econ 104(2), 255–274 (1989)

    Article  Google Scholar 

  • Pagnotta, E., Philippon, T.: Competing on speed. Tech. Rep. 17652, National Bureau of Economic Research (2011)

  • Sandoval, L.: Pruning a minimum spanning tree. Physica A Stat Mech Appl 391(8), 2678–2711 (2012)

    Article  Google Scholar 

  • 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)

  • Zhang, F.: High-frequency trading, stock volatility, and price discovery. Available at SSRN 1691679 (2010)

  • Zhang, L., Mykland, P.A., Aït-Sahalia, Y.: A tale of two time scales. J Am Stat Assoc 100(472), 1394–1411 (2005)

    Article  Google Scholar 

Download references

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.

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Correspondence to Cécile Bastidon.

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Bastidon, C. Stock markets fragmentation, volatility and final investors. Ann Finance 13, 435–451 (2017). https://doi.org/10.1007/s10436-017-0305-0

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