Skip to main content

A Reexamination of High Frequency Trading Regulation Effectiveness in an Artificial Market Framework

  • Conference paper
  • First Online:
Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection (PAAMS 2016)

Abstract

In this paper we analyze the impact of the French cancel order tax on market quality measured by market liquidity and volatility. Additionally, this paper raises the question whether this tax leads to reduction of high-frequency trading (HFT) activities and a declining in trading volume. Moreover, we test market rules that have not been yet introduced using artificial market framework.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Acharya, V., Pedersen, L.: Asset pricing with liquidity risk. Journal of Financial Economics 77, 375–410 (2005)

    Article  Google Scholar 

  2. Ashenfelter, O., Card, D.: Using the longitudinal structure of earnings to estimate the effect of training programs. The Review of Economics and Statistics 67, 648–660 (1985)

    Article  Google Scholar 

  3. Bloomfield, R., Wang, G.H.K.: Transaction tax and market quality of the taiwan stock index futures. Journal of Futures Markets 26(12), 1195–1216 (2006)

    Article  Google Scholar 

  4. Boehmer, E., Fong, K., Wu, J.: International evidence on algorithmic trading (March 2012), aFA 2013 San Diego Meetings Paper

    Google Scholar 

  5. Boehmer, E., Kelley, E.: Institutional investors and the informational efficiency of prices. Review of Financial Studies 22, 3563–3594 (2009)

    Article  Google Scholar 

  6. Brandouy, O., Mathieu, P., Veryzhenko, I.: On the design of agent-based artificial stock markets. Communications in Computer and Information Science 271, 350–364 (2013)

    Article  Google Scholar 

  7. Brogaard, J.: Hft and volatility (2011), working paper, Washington University

    Google Scholar 

  8. Cartlidge, J., Szostek, C., De Luca, M., Cliff, D.: Too fast too furious-faster financial-market trading agents can give less efficient markets. In: ICAART (2). pp. 126–135 (2012)

    Google Scholar 

  9. Chan, N., LeBaron, B., Lo, A., Poggio, T.: Agent-based models of financial markets: A comparison with experimental markets (1999), draft: September 5, 1999

    Google Scholar 

  10. Chordia, T., Roll, R., Subrahmanyam, A.: Liquidity and market efficiency. Journal of Financial Economics 87, 249–268 (2008)

    Article  Google Scholar 

  11. Chordia, T., Subrahmanyam, A., Anshuman, R.: Trading activity and expected stock returns. Journal of Financial Economics 59, 3–32 (2001)

    Article  Google Scholar 

  12. Cliff, D., Northrop, L.: The global financial markets: An ultra-large-scale systems perspective. In: Proceedings of the 17th Monterey Conference on Large-Scale Complex IT Systems: Development, Operation and Management. pp. 29–70. Springer-Verlag, Berlin, Heidelberg (2012), http://dx.doi.org/10.1007/978-3-642-34059-8_2

    Google Scholar 

  13. Colliard, J., Hoffmann, P.: Financial transaction taxes: Theory, evidence and design (2015), institut Louis Bachelier publications, nb 9

    Google Scholar 

  14. Friederich, S., Payne, R.: Order-to-trade ratios and market liquidity. Journal of Banking and Finance 50, 214–223 (2015)

    Article  Google Scholar 

  15. Fu, Y., Qian, W., Yeun, B.: Speculative investors and transactions tax in the housing market (2014), working paper

    Google Scholar 

  16. Haferkorn, M., Zimmermann, K.: Securities transaction tax and market quality: The case of france (2013), goethe University Frankfurt, mimeo

    Google Scholar 

  17. Hasbrouck, J., Saar, G.: Low-latency trading (2010). http://ssrn.com/abstract=1695460

  18. Heflin, F., Shaw, K.: Disclosure policy and market liquidity: Impact deapth quotes and order sizes. Politique d’information et liquidit du march: incidence des quantits cotes et de la taille des ordres 22, 829–865 (2005)

    Google Scholar 

  19. Hendershott, T., Jones, C., Menkveld, A.: Does algorithmic trading improve liquidity? The Journal of Finance 66, 1001–1024 (2011)

    Article  Google Scholar 

  20. Hendershott, T., Moulton, P.: Automation, speed, and stock market quality: The nyse’s hybrid. Journal of Financial Market 14, 568–604 (2011)

    Article  Google Scholar 

  21. Huber, J., Kirchler, M., Kleinlercher, D., Sutter, M.: Market vs. residence principles: Experimental evidence on the effects of a financial transcations tax (2014), iZA Discussion Paper

    Google Scholar 

  22. Johnson, B.: Algorithmic Trading & DMA: An introduction to direct access trading strategies. 4Myeloma Press, London (2010)

    Google Scholar 

  23. Leal, S.J., Napoletano, M., Roventini, A., Fagiolo, G.: Rock around the clock: an agent-based model of low- and high-frequecny trading (2014), working paper

    Google Scholar 

  24. Mandes, A.: Order placement in a continous double auction agent based model (2014), working paper No. 43-2014

    Google Scholar 

  25. Meyer, S., Wagener, M., Weinhardt, C.: Politically motivated taxes in financial markets: The case of the french financial transaction tax (2013), stuttgart Stco Exchange and Karlsruhe Institute of Technology, mimeo

    Google Scholar 

  26. Paddrik, M., Hayes, R., Todd, A., Yand, S., Scherer, W., Beling, P.: An agent basedmodel of the e-mini s&p 500 and the flash crash. In: Proceedings of the 2012 IEEE Computational Intelligence for Financial Engineering and Finance 1 (2012)

    Google Scholar 

  27. Pellizzari, P., Westerhoff, F.: Some effects of transaction taxes under different microstructures. Journal of Economic Behavior & Organization 72, 850–863 (2009)

    Article  Google Scholar 

  28. Pomeranets, A., Weaver, D.: Securities transaction taxes and market quality (2011), bank of Canada, working paper, 2011-26

    Google Scholar 

  29. Simon, H.A.: The Sciences of the Artificial, 3rd edn. MIT Press, Cambridge, MA, USA (1996)

    Google Scholar 

  30. Zhang, X.: The effect of high-frequency trading on stock volatility and price discovery (2010), ssrn.com/abstract=1691679

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Iryna Veryzhenko .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Veryzhenko, I., Arena, L., Harb, E., Oriol, N. (2016). A Reexamination of High Frequency Trading Regulation Effectiveness in an Artificial Market Framework. In: de la Prieta, F., et al. Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. PAAMS 2016. Advances in Intelligent Systems and Computing, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-319-40159-1_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-40159-1_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40158-4

  • Online ISBN: 978-3-319-40159-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics