Skip to main content

Abstract

Modern global inter-bank spot foreign exchange is essentially a limit-order market. Execution strategies in such a market may differ from those in markets that permit market orders. Here we describe microstructure and dynamics of the EBS market (EBS being an ICAP company is the leading institutional spot FX electronic brokerage). In order to illustrate specifics of the limit-order market, we discuss two problems. First, we describe our simulations of maker loss in case when the EUR/USD maker order is pegged to the market best price. We show that the expected maker loss is lower than the typical bid/offer spread. Second, we discuss the problem of optimal slicing of large orders for minimizing execution costs. We start with analysis of the expected execution times for the EUR/USD orders submitted at varying market depth. Then we introduce a loss function that accounts for the market volatility risk and the order’s P/L in respect to the market best price. This loss function can be optimized for given risk aversion. Finally, we apply this approach to slicing large limit orders.

The information presented in this work is provided for educational purposes only and does not constitute investment advice. Any opinions expressed in this work are those of the author and do not necessarily represent the views of ICAP Electronic Broking LLC, its management, officers or employees.

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 EPUB and 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
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    With proliferation of alternative trading systems, dark liquidity pools, etc., another important problem for institutional trading has become answering the question “Where to trade” [14].

  2. 2.

    Recall, however, that the credit constraints may violate this rule (see Sect. 2).

References

  1. Chaboud AP, Chernenko SV, Howorka E, Krishnasami RS, Liu D, Wright JH (2004) The high-frequency effects of US macroeconomic data releases on prices and trading activity in the global interdealer foreign exchange market. International Finance Discussion Papers, N823

    Google Scholar 

  2. Dacorogna MM, Gencay R, Muller U, Olsen RB, Pictet OV (2001) An introduction to high-frequency finance. Academic, New York

    Google Scholar 

  3. Lyons RK (2001) The microstructure approach to exchange rates. MIT Press, Cambridge

    Google Scholar 

  4. Goodhart CAO, O’Hara M (1997) High frequency data in financial markets: issues and applications. J Empir Finan 4:73–114

    Article  Google Scholar 

  5. Berger DW, Chaboud AP, Chernenko SV, Howorka E, Krishnasami RS, Liu D, Wright JH (2005) Order flow and exchange rate dynamics in electronic brokerage system data. International Finance Discussion Papers, N830

    Google Scholar 

  6. Howorka E, Schmidt AB (2006) Dynamics of the top of the order book in a global FX spot market. In: Computational finance and its applications. WIT Press, Southampton, pp 257–266

    Google Scholar 

  7. Ito T, Hashimoto Y (2006) Intra-day seasonality in activities of the foreign exchange markets: evidence from the electronic broking system. J Japanese Int Econ 20(4):637–664

    Article  Google Scholar 

  8. Chaboud AP, Chiquoine B, Hjalmarsson E, Loretan M (2008) Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets. BIS Working Paper 249

    Google Scholar 

  9. LeBaron B, Zhao Y (2008) Foreign exchange reversals in New York time. Working paper. Brandeis University

    Google Scholar 

  10. Hashimoto Y, Ito T, Ohnishi T, Takayasu M, Takayasu H, Watanabe T (2008) Random walk or a run: market microstructure analysis of the foreign exchange rate movements based on conditional probability. NBER Working Paper 14160

    Google Scholar 

  11. Dunis CL, Williams M (2003) Applications of advanced regression analysis for trading and investment. In: Applied quantitative methods for trading and investment. Wiley, New York, pp 1–40

    Google Scholar 

  12. Osler C (2003) Currency orders and exchange-rate dynamics: explaining the success of technical analysis. J Finance 58:1791–1819

    Article  Google Scholar 

  13. James J (2005) FX trading models – how are they doing? Quant Finan 5(5):425–431

    Article  MATH  Google Scholar 

  14. Smith C (2008) The rise of alternative trading venues. J Trading 3(1):56–58

    Article  Google Scholar 

  15. Biais B, Hillion P, Spatt CS (1995) An empirical analysis of the limit order book and the order flow in the Paris bourse. J Finance 50(5):1655–1689

    Article  Google Scholar 

  16. Harris L, Hasbrouck J (1996) Market versus limit orders: the superdot evidence on order submission strategy. J Finan Quant Anal 31:213–231

    Article  Google Scholar 

  17. Lo AW, MacKinlay AC, Zhang J (2002). Econometric models of limit-order executions. J Fin Econ 65:31–71

    Article  Google Scholar 

  18. Hollifield B, Miller RA, Sandas P, Slive J (2006). Estimating the gains from trade in limit-order markets. J Finance 61:2753–2804

    Article  Google Scholar 

  19. Potters M, Bouchaud J-P (2003) More statistical properties of order book and price impact. Physica A 324:133–140

    Article  ADS  MATH  Google Scholar 

  20. Eisler Z, Kertesz J, Lillo F, Mantegna RN (2009) Diffusive behavior and the modeling of characteristic times in limit order executions. Quant Finan 9:547–563

    Article  MathSciNet  MATH  Google Scholar 

  21. Howorka E, Nagirner E, Schmidt AB (2007). Analysis of order execution in a global FX spot market. In: 13th International conference on computing in economics and finance, Montreal

    Google Scholar 

  22. Howorka E, Nagirner E, Schmidt AB (2007) Maker or taker: simulations of trading loss in the EBS market. ICAP Memo

    Google Scholar 

  23. Schmidt AB (2008) Simulation of maker loss in the global inter-bank FX market. J Trading 3(4):66–70

    Article  Google Scholar 

  24. Farmer JD, Gerig A, Lillo F, Mike S (2006) Market efficiency and the long-memory of supply and demand: is price impact variable and permanent or fixed and temporary? Quant Finan 6(2):107–112

    Article  MathSciNet  MATH  Google Scholar 

  25. Bouchaud J-P, Kockelkoren J, Potters M (2006) Random walks, liquidity molasses and critical response in financial markets. Quant Finan 6(2):115–123

    Article  MathSciNet  MATH  Google Scholar 

  26. Almgren R, Chriss N (2000) Optimal execution of portfolio transactions. Risk 3(2):5–39

    Google Scholar 

  27. Kissell R, Glantz M (2003) Optimal trading strategies. AMACOM

    Google Scholar 

  28. Kissell, R, Glantz M, Malamut R (2004) A practical framework for estimating transaction costs and developing optimal strategies to achieve best execution. Fin Res Lett 1(1):35–46

    Article  Google Scholar 

  29. Fabozzi F, Kolm PN, Pachamanova D, Focardi SM (2007) Robust portfolio optimization and management. Wiley, New York

    Google Scholar 

  30. Sullivan R, Timmermann A, White H (1999) Data-snooping, technical trading rule performance, and the bootstrap. J Finance 54:1647–1691

    Article  Google Scholar 

  31. Aronson RA (2006) Evidence-based technical analysis: applying the scientific method and statistical inference to trading signals. Wiley, New York

    Book  Google Scholar 

  32. Fusai G, Ronoroni A (2008) Implementing models in quantitative finance: methods and cases. Springer, Berlin

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anatoly B. Schmidt .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer

About this paper

Cite this paper

Schmidt, A.B. (2010). Microstructure and Execution Strategies in the Global Spot FX Market. In: Takayasu, M., Watanabe, T., Takayasu, H. (eds) Econophysics Approaches to Large-Scale Business Data and Financial Crisis. Springer, Tokyo. https://doi.org/10.1007/978-4-431-53853-0_3

Download citation

Publish with us

Policies and ethics