Skip to main content
Top

2020 | OriginalPaper | Chapter

What an Experimental Limit Order Book Can Tell Us About Real Markets?

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Limit order book are widespread in markets. A vast literature study their properties and stylized facts with the aim of getting insights about the trading process and the order placement. In this paper an experimental order book is studied with the same aim. Since laboratory experiments offer a controlled environment in which causes and effect can be much better identified with respect to the field, the study of experimental data can give valuable insights even when results mismatch with theory or empirical findings. The analysis shows some similarities but also differences and understanding why is also a valuable goal faced and discussed here and not yet totally accomplished.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Footnotes
1
I must stress that the experiment has been designed and performed by D. Fang, M. Holmen, D. Kleinlercher, M. Kirchler and results are published in Fang et al. (2017). I have got data by courtesy of authors.
 
2
According with the experiment has been designed.
 
3
3 types of market orders (large, market and small), 3 types of limit orders (with price within the spread, at the best bid or ask, at a price outside the spread).
 
4
Details of adaptation are here omitted but given on request.
 
Literature
go back to reference Anufriev, M., Hommes, C.: Evolutionary selection of individual expectations and aggregate outcomes in asset pricing experiments. Am. Econ. J. Microecon. 4, 35–64 (2012)CrossRef Anufriev, M., Hommes, C.: Evolutionary selection of individual expectations and aggregate outcomes in asset pricing experiments. Am. Econ. J. Microecon. 4, 35–64 (2012)CrossRef
go back to reference Asparouhova, E., Bossaerts, P., Roy, N., Zame, W.: Lucas in the laboratory. J. Finan. 71, 2727–2780 (2016)CrossRef Asparouhova, E., Bossaerts, P., Roy, N., Zame, W.: Lucas in the laboratory. J. Finan. 71, 2727–2780 (2016)CrossRef
go back to reference Assenza, T., Grazzini, J., Hommes, C., Massaro, D.: PQ strategies in monopolistic competition: some insights from the lab. J. Econ. Dyn. Control 50, 62–77 (2015)MathSciNetCrossRef Assenza, T., Grazzini, J., Hommes, C., Massaro, D.: PQ strategies in monopolistic competition: some insights from the lab. J. Econ. Dyn. Control 50, 62–77 (2015)MathSciNetCrossRef
go back to reference Biais, B., Hillion, P., Spatt, C.: An empirical analysis of the limit order book and the order flow in the Paris Bourse. J. Finan. 50(5), 1655–1689 (1995)CrossRef Biais, B., Hillion, P., Spatt, C.: An empirical analysis of the limit order book and the order flow in the Paris Bourse. J. Finan. 50(5), 1655–1689 (1995)CrossRef
go back to reference Bouchaud, J.P., Mzard, M., Marc, P.M.: Statistical properties of stock order books: empirical results and models. Quant. Finan. 2(4), 251–256 (2002)CrossRef Bouchaud, J.P., Mzard, M., Marc, P.M.: Statistical properties of stock order books: empirical results and models. Quant. Finan. 2(4), 251–256 (2002)CrossRef
go back to reference Cao, C., Hansch, O., Wang, X.: Optimal placement strategies in a pure limit order book market. J. Finan. Res. 31(2), 113–140 (2008)CrossRef Cao, C., Hansch, O., Wang, X.: Optimal placement strategies in a pure limit order book market. J. Finan. Res. 31(2), 113–140 (2008)CrossRef
go back to reference Chakravarty, S., Craig, W.H.: An integrated model of market and limit orders. J. Finan. Intermed. 4(3), 213–241 (1995)CrossRef Chakravarty, S., Craig, W.H.: An integrated model of market and limit orders. J. Finan. Intermed. 4(3), 213–241 (1995)CrossRef
go back to reference Fang, D., Holmen, M., Kleinlercher, D., Kirchler, M.: How tournament incentives affect asset markets: a comparison between winner-take-all tournaments and elimination contests. J. Econ. Dyn. Control 75, 1–27 (2017)MathSciNetCrossRef Fang, D., Holmen, M., Kleinlercher, D., Kirchler, M.: How tournament incentives affect asset markets: a comparison between winner-take-all tournaments and elimination contests. J. Econ. Dyn. Control 75, 1–27 (2017)MathSciNetCrossRef
go back to reference Foucault, T.: Order flow composition and trading costs in a dynamic limit order market. J. Finan. Markets 2(2), 99–134 (1999)CrossRef Foucault, T.: Order flow composition and trading costs in a dynamic limit order market. J. Finan. Markets 2(2), 99–134 (1999)CrossRef
go back to reference Gould, M.D., Porter, M.A., Williams, S., McDonald, M., Fenn, D.J., Howison, S.D.: Limit order books. Quant. Finan. 13, 11 (2013)MathSciNetCrossRef Gould, M.D., Porter, M.A., Williams, S., McDonald, M., Fenn, D.J., Howison, S.D.: Limit order books. Quant. Finan. 13, 11 (2013)MathSciNetCrossRef
go back to reference Harris, L., Hasbrouck, J.: Market vs. limit orders: the SuperDOT evidence on order submission strategy. J. Finan. Quant. Anal. 31(2), 213–231 (1996) Harris, L., Hasbrouck, J.: Market vs. limit orders: the SuperDOT evidence on order submission strategy. J. Finan. Quant. Anal. 31(2), 213–231 (1996)
go back to reference Heemeijer, P., Hommes, C., Sonnemans, J., Tuinstra, J.: Price stability and volatility in markets with positive and negative expectations feedback: an experimental investigation. J. Econ. Dyn. Control 33(5), 1052–1072 (2009)MathSciNetCrossRef Heemeijer, P., Hommes, C., Sonnemans, J., Tuinstra, J.: Price stability and volatility in markets with positive and negative expectations feedback: an experimental investigation. J. Econ. Dyn. Control 33(5), 1052–1072 (2009)MathSciNetCrossRef
go back to reference Hollifield, B., Miller, R.A., Sandas, P.: Empirical analysis of limit order markets. Rev. Econ. Stud. 71, 1027–1063 (2004)MathSciNetCrossRef Hollifield, B., Miller, R.A., Sandas, P.: Empirical analysis of limit order markets. Rev. Econ. Stud. 71, 1027–1063 (2004)MathSciNetCrossRef
go back to reference Hommes, C.H., Huang, H., Wang, D.: A robust rational route to randomness in a simple asset pricing model. J. Econ. Dyn. Control 29(6), 1043–1072 (2005)MathSciNetCrossRef Hommes, C.H., Huang, H., Wang, D.: A robust rational route to randomness in a simple asset pricing model. J. Econ. Dyn. Control 29(6), 1043–1072 (2005)MathSciNetCrossRef
go back to reference Hommes, C.: The heterogeneous expectations hypothesis: some evidence from the lab. J. Econ. Dyn. Control 35(1), 1–24 (2011)MathSciNetCrossRef Hommes, C.: The heterogeneous expectations hypothesis: some evidence from the lab. J. Econ. Dyn. Control 35(1), 1–24 (2011)MathSciNetCrossRef
go back to reference Plott, C.R., Smith, V.L. (eds.): Handbook of Experimental Economics Results, vol. 1. Elsevier, Amsterdam (2008) Plott, C.R., Smith, V.L. (eds.): Handbook of Experimental Economics Results, vol. 1. Elsevier, Amsterdam (2008)
go back to reference Rosu, I.: A dynamic model of the limit order book. Rev. Finan. Stud. 22, 4601–4641 (2009)CrossRef Rosu, I.: A dynamic model of the limit order book. Rev. Finan. Stud. 22, 4601–4641 (2009)CrossRef
Metadata
Title
What an Experimental Limit Order Book Can Tell Us About Real Markets?
Author
Annalisa Fabretti
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-51999-5_2

Premium Partner