Skip to main content

Stock Trading via Feedback Control

Encyclopedia of Systems and Control

1 Introduction

Stock trading involves the purchase and sale of shares of ownership in public companies by an individual or entity such as a pension fund, mutual fund, hedge fund, or endowment. These shares are typically traded in markets, such as the New York Stock Exchange and the NASDAQ, with the trader’s goal generally being to increase wealth. The words feedback control in the title of this article broadly refer to the use of information such as prices, profits and losses which becomes available to the trader over time and is used to make purchase and sales decisions according to some set of rules. That is, the size of the stock position being held varies with time. The mapping from information to the investment level is called the feedback law and is typically described with a closed-loop configuration and classical algorithms which come from the body of research called control theory; e.g., see Astrom and Murray (2008).

For simplicity, in this article, we restrict attention to...

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

Access this chapter

Institutional subscriptions

Bibliography

  • Artzner P, Delbaen F, Eber J, Heath D (1999) Coherent measures of risk. J Math Financ 9:203–208

    Article  MATH  MathSciNet  Google Scholar 

  • Astrom KJ, Murray RM (2008) Feedback systems, an introduction for scientists and engineers. Princeton University Press, Princeton

    Google Scholar 

  • Barmish BR, Primbs JA, Malekpour S, Warnick S (2013) On the basics for simulation of feedback-based stock trading strategies: an invited tutorial. IEEE conference on decision and control, Florence. IEEE, pp 7181–7186

    Google Scholar 

  • Brock W, Lakonishok J, LeBaron B (1992) Simple technical trading rules and the stochastic properties of stock returns. J Financ 47:1731–1764

    Article  Google Scholar 

  • Kirkpatrick CD, Dahlquist JR (2007) Technical analysis: the complete resource for financial market technicians. Financial Times Press, New York

    Google Scholar 

  • Lo AW, Hasanhodzic J (2010) The evolution of technical analysis: financial prediction from Babylonian tablets to Bloomberg terminals. Bloomberg Press, New York

    Google Scholar 

  • Luenberger DG (1998) Investment science. Oxford, London

    Google Scholar 

  • Merton RC (1969) Lifetime portfolio selection under uncertainty: the continuous time case. Rev Econ Stat 51:247–257

    Article  Google Scholar 

  • Oksendal B (1998) Stochastic differential equations: an introduction with applications. Springer, New York

    Book  Google Scholar 

  • Samuelson PA (1969) Lifetime portfolio selection by dynamic stochastic programming. Rev Econ Stat 51:239–246

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to B. Ross Barmish .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag London

About this entry

Cite this entry

Barmish, B.R., Primbs, J.A. (2013). Stock Trading via Feedback Control. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_131-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_131-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, London

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Chapter history

  1. Latest

    Stock Trading via Feedback Control Methods
    Published:
    04 December 2019

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_131-2

  2. Original

    Stock Trading via Feedback Control
    Published:
    01 March 2014

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_131-1