IDEAS home Printed from https://ideas.repec.org/a/ecm/emetrp/v41y1973i1p157-59.html
   My bibliography  Save this article

A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices: Comment

Author

Listed:
  • Mandelbrot, Benoit B

Abstract

No abstract is available for this item.

Suggested Citation

  • Mandelbrot, Benoit B, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices: Comment," Econometrica, Econometric Society, vol. 41(1), pages 157-159, January.
    • Handle: RePEc:ecm:emetrp:v:41:y:1973:i:1:p:157-59
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0012-9682%28197301%2941%3A1%3C157%3ACO%22SSP%3E2.0.CO%3B2-G&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. L. Ingber & M.F. Wehner & G.M. Jabbour & T.M. Barnhill, 1991. "Application of statistical mechanics methodology to term-structure bond-pricing models," Lester Ingber Papers 91as, Lester Ingber.
    2. Borusyak, K., 2011. "Nonlinear Dynamics of the Russian Stock Market in Problems of Risk Management," Journal of the New Economic Association, New Economic Association, issue 11, pages 85-105.
    3. J. Doyne Farmer & John Geanakoplos, 2008. "The virtues and vices of equilibrium and the future of financial economics," Papers 0803.2996, arXiv.org.
    4. Rangel, José Gonzalo, 2011. "Macroeconomic news, announcements, and stock market jump intensity dynamics," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1263-1276, May.
    5. Marine H. Carrasco & Jean-Pierre Florens, 2000. "Estimation of a Mixture via the Empirical Characteristic Function," Econometric Society World Congress 2000 Contributed Papers 0514, Econometric Society.
    6. Riccardo Rebonato, 2015. "High-frequency Trading," Quantitative Finance, Taylor & Francis Journals, vol. 15(8), pages 1267-1271, August.
    7. Eric M. Aldrich & Indra Heckenbach & Gregory Laughlin, 2014. "The Random Walk of High Frequency Trading," Papers 1408.3650, arXiv.org, revised Aug 2014.
    8. Kerr Hatrick & Mike So & S. Chung & R. Deng, 2011. "Dynamic Relationship among Intraday Realized Volatility, Volume and Number of Trades," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(3), pages 291-317, September.
    9. Eric Ghysels & Christian Gouriéroux & Joann Jasiak, 1995. "Market Time and Asset Price Movements Theory and Estimation," CIRANO Working Papers 95s-32, CIRANO.
    10. L. Ingber, 1996. "Canonical momenta indicators of financial markets and neocortical EEG," Lester Ingber Papers 96cm, Lester Ingber.
    11. Benjamin Blau & Matthew Hill & Hao Wang, 2011. "REIT Short Sales and Return Predictability," The Journal of Real Estate Finance and Economics, Springer, vol. 42(4), pages 481-503, May.
    12. Benoit B. Mandelbrot, 2005. "Parallel cartoons of fractal models of finance," Annals of Finance, Springer, vol. 1(2), pages 179-192, October.
    13. Phillip Cagan, 1975. "Changes in the Recession Behavior of Wholesale Prices in the 1920s and Post-World War II," NBER Chapters, in: Explorations in Economic Research, Volume 2, number 1, pages 54-104, National Bureau of Economic Research, Inc.
    14. Stock, James H., 1987. "Measuring Business Cycle Time," Scholarly Articles 3425950, Harvard University Department of Economics.
    15. Gebka, Bartosz, 2006. "Leaders and Laggards: International Evidence on Spillovers in Returns, Variance, and Trading Volume," Working Paper Series 2006,1, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    16. Borochin, Paul & Rush, Stephen, 2022. "Information networks in the financial sector and systemic risk," Journal of Banking & Finance, Elsevier, vol. 134(C).
    17. Shuangzhe Liu & Chris Heyde & Wing-Keung Wong, 2011. "Moment matrices in conditional heteroskedastic models under elliptical distributions with applications in AR-ARCH models," Statistical Papers, Springer, vol. 52(3), pages 621-632, August.
    18. Diep Duong & Norman R. Swanson, 2011. "Volatility in Discrete and Continuous Time Models: A Survey with New Evidence on Large and Small Jumps," Departmental Working Papers 201117, Rutgers University, Department of Economics.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecm:emetrp:v:41:y:1973:i:1:p:157-59. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.