Skip to main content

Part of the book series: The New Palgrave ((NPA))

  • 344 Accesses

Abstract

A martingale is a mathematical model of a fair game, or of some other process that is incrementally random noise. The term, which also denotes part of a horse’s harness or a ship’s rigging, refers in addition to a gambling system in which every losing bet is doubled; it was introduced into probability theory by J. L. Doob. Among stochastic processes, martingales have particular constancy properties with respect to conditioning. The time parameter may be either discrete or continuous, but since the latter is more important in economic applications, we concentrate on it.

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 29.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 39.99
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.

Bibliography

  • Brémaud, P. 1981. Point Processes and Queues: Martingale Dynamics. Berlin: Springer-Verlag.

    Book  Google Scholar 

  • Hall, P. and Heyde, C.C. 1980. Martingale Limit Theory and its Applications. New York: Academic Press.

    Google Scholar 

  • Kallianpur, G. 1980. Stochastic Filtering Theory. New York: Springer-Verlag.

    Book  Google Scholar 

  • Karr, A.F. 1986. Point Processes and their Statistical Inference. New York: Marcel Dekker.

    Google Scholar 

  • Lipster, R.S. and Shiryayev, A.N. 1978. Statistics of Random Processes, I and II. Berlin: Springer-Verlag.

    Google Scholar 

  • Metivier, M. and Pellaumail, J. 1980. Stochastic Integration. New York: Academic Press.

    Google Scholar 

  • Shiryayev, A.N. 1981. Martingales: recent developments, results and applications. International Statistical Review 49, 199–233.

    Article  Google Scholar 

Download references

Authors

Editor information

John Eatwell Murray Milgate Peter Newman

Copyright information

© 1990 Palgrave Macmillan, a division of Macmillan Publishers Limited

About this chapter

Cite this chapter

Karr, A.F. (1990). Martingales. In: Eatwell, J., Milgate, M., Newman, P. (eds) Time Series and Statistics. The New Palgrave. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-20865-4_17

Download citation

  • DOI: https://doi.org/10.1007/978-1-349-20865-4_17

  • Publisher Name: Palgrave Macmillan, London

  • Print ISBN: 978-0-333-49551-3

  • Online ISBN: 978-1-349-20865-4

  • eBook Packages: Palgrave History CollectionHistory (R0)

Publish with us

Policies and ethics