IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Algorithmic complexity of financial motions

  • Brandouy, Olivier
  • Delahaye, Jean-Paul
  • Ma, Lin
  • Zenil, Hector

We survey the main applications of algorithmic (Kolmogorov) complexity to the problem of price dynamics in financial markets. We stress the differences between these works and put forward a general algorithmic framework in order to highlight its potential for financial data analysis. This framework is “general” in the sense that it is not constructed on the common assumption that price variations are predominantly stochastic in nature.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Research in International Business and Finance.

Volume (Year): 30 (2014)
Issue (Month): C ()
Pages: 336-347

in new window

Handle: RePEc:eee:riibaf:v:30:y:2014:i:c:p:336-347
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Timmermann, Allan & Granger, Clive W. J., 2004. "Efficient market hypothesis and forecasting," International Journal of Forecasting, Elsevier, vol. 20(1), pages 15-27.
  2. Paul A. Samuelson, 1973. "Proof That Properly Discounted Present Values of Assets Vibrate Randomly," Bell Journal of Economics, The RAND Corporation, vol. 4(2), pages 369-374, Autumn.
  3. Hector Zenil & Jean‐Paul Delahaye, 2011. "An Algorithmic Information Theoretic Approach To The Behaviour Of Financial Markets," Journal of Economic Surveys, Wiley Blackwell, vol. 25(3), pages 431-463, 07.
  4. Olivier Brandouy & Jean-Paul Delahaye & Lin Ma & Hector Zenil, 2012. "Algorithmic Complexity of Financial Motions," ASSRU Discussion Papers 1204, ASSRU - Algorithmic Social Science Research Unit.
  5. Andreia Dionisio & Rui Menezes & Diana A. Mendes, 2005. "An econophysics approach to analyse uncertainty in financial markets: an application to the Portuguese stock market," Papers physics/0509250,, revised Sep 2005.
  6. repec:ebl:ecbull:v:7:y:2008:i:6:p:1-12 is not listed on IDEAS
  7. LeRoy, Stephen F, 1989. "Efficient Capital Markets and Martingales," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1583-1621, December.
  8. Armin Shmilovici & Yael Alon-Brimer & Shmuel Hauser, 2003. "Using a Stochastic Complexity Measure to Check the Efficient Market Hypothesis," Computational Economics, Society for Computational Economics, vol. 22(2), pages 273-284, October.
  9. R. Mansilla, 2001. "Algorithmic Complexity in Real Financial Markets," Papers cond-mat/0104472,
  10. Bates, David S., 2000. "Post-'87 crash fears in the S&P 500 futures option market," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 181-238.
  11. Eugene F. Fama, . "Market Efficiency, Long-term Returns, and Behavioral Finance," CRSP working papers 340, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
  12. Andreia Dionisio & Rui Menezes & Diana A. Mendes, 2007. "Entropy and Uncertainty Analysis in Financial Markets," Papers 0709.0668,
  13. David H. Cutler & James M. Poterba & Lawrence H. Summers, 1988. "What Moves Stock Prices?," Working papers 487, Massachusetts Institute of Technology (MIT), Department of Economics.
  14. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
  15. Mansilla, R., 2001. "Algorithmic complexity of real financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 301(1), pages 483-492.
  16. Y. Kahiri & A. Shmilovici & S. Hauser, 2006. "Measuring the Efficiency of the Intraday Forex Market with a Universal Data Compression Algorithm," Computing in Economics and Finance 2006 256, Society for Computational Economics.
  17. Giglio, Ricardo & Matsushita, Raul & Figueiredo, Annibal & Gleria, Iram & Da Silva, Sergio, 2008. "Algorithmic complexity theory and the relative efficiency of financial markets," MPRA Paper 8704, University Library of Munich, Germany.
  18. Sergio Da Silva & Raul Matsushita & Ricardo Giglio, 2008. "The relative efficiency of stockmarkets," Economics Bulletin, AccessEcon, vol. 7(6), pages 1-12.
  19. Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-617, December.
  20. Ching-Wei Tan, 1999. "Estimating the Complexity Function of Financial Time Series: An Estimation Based on Predictive Stochastic Complexity," Computing in Economics and Finance 1999 1143, Society for Computational Economics.
  21. Jing Chen, 2005. "Information Theory and Market Behavior," Finance 0503009, EconWPA.
  22. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-54, May-June.
  23. Jean-Michel Courtault & Yuri Kabanov & Bernard Bru & Pierre Crépel & Isabelle Lebon & Arnaud Le Marchand, 2000. "Louis Bachelier on the Centenary of "Théorie de la Spéculation"," Mathematical Finance, Wiley Blackwell, vol. 10(3), pages 339-353.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:riibaf:v:30:y:2014:i:c:p:336-347. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.