IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v389y2010i24p5749-5758.html
   My bibliography  Save this article

The timing of information transmission in financial markets

Author

Listed:
  • Vindel, Jose M.
  • Trincado, Estrella

Abstract

This article shows turbulent behavior in a series of financial indexes assuming that they follow a cascade process of the same type as do turbulent fluids. With such a model, the energy flux between the eddies that emerge in the fluid is analogous to the financial information flux over the course of time. The results obtained confirm the variability of variation of the indexes for the considered time scale (the turbulent intermittency typical for fluids), and they also confirm that when we descend along the cascade, that is to say, when we consider smaller time intervals, the rate at which the hypothetical eddies of information dissipate becomes greater than the rate at which the information is transmitted. This fact can explain the cyclical nature of crises: ultimately, financial events have a memory of the past. Besides, the NASDAQ singular behavior regarding the number of jumps, the degree of intermittency of the turbulence and the life time of the hypothetical eddies has been analysed.

Suggested Citation

  • Vindel, Jose M. & Trincado, Estrella, 2010. "The timing of information transmission in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5749-5758.
  • Handle: RePEc:eee:phsmap:v:389:y:2010:i:24:p:5749-5758
    DOI: 10.1016/j.physa.2010.08.048
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711000751X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2010.08.048?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Greco, Antonella & Carbone, Vincenzo & Sorriso-Valvo, Luca, 2007. "Non-Poisson intermittent events in price formation in a Ising spin model of market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 480-486.
    2. Smith, Adam, 1977. "An Inquiry into the Nature and Causes of the Wealth of Nations," University of Chicago Press Economics Books, University of Chicago Press, number 9780226763743 edited by Cannan, Edwin, January.
    3. Nawroth, Andreas P. & Peinke, Joachim, 2007. "Medium and small-scale analysis of financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 193-198.
    4. O. Barndorff-Nielsen & P. Blæsild & J. Schmiegel, 2004. "A parsimonious and universal description of turbulent velocity increments," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 41(3), pages 345-363, October.
    5. Suzanne S. Lee & Per A. Mykland, 2008. "Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2535-2563, November.
    6. L. Chevillard & B. Castaing & E. Lévêque, 2005. "On the rapid increase of intermittency in the near-dissipation range of fully developed turbulence," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 45(4), pages 561-567, June.
    7. Greco, Antonella & Sorriso-Valvo, Luca & Carbone, Vincenzo & Cidone, Stefano, 2008. "Waiting time distributions of the volatility in the Italian MIB30 index: Clustering or Poisson functions?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(16), pages 4272-4284.
    8. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, April.
    9. T. Lux, 2001. "Turbulence in financial markets: the surprising explanatory power of simple cascade models," Quantitative Finance, Taylor & Francis Journals, vol. 1(6), pages 632-640.
    10. Hossein Asgharian & Christoffer Bengtsson, 2006. "Jump Spillover in International Equity Markets," Journal of Financial Econometrics, Oxford University Press, vol. 4(2), pages 167-203.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Trincado, Estrella & Vindel, José María, 2015. "An application of econophysics to the history of economic thought: The analysis of texts from the frequency of appearance of key words," Economics Discussion Papers 2015-51, Kiel Institute for the World Economy (IfW Kiel).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pukthuanthong, Kuntara & Roll, Richard, 2012. "Internationally correlated jumps," Working Paper Series 1436, European Central Bank.
    2. Zhang, Yi & Zhou, Long & Chen, Yajiao & Liu, Fang, 2022. "The contagion effect of jump risk across Asian stock markets during the Covid-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    3. Kshatriya, Saranya & Prasanna, Krishna, 2021. "Jump Interdependencies: Stochastic linkages among international stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    4. Trincado, Estrella & Vindel, José María, 2015. "An application of econophysics to the history of economic thought: The analysis of texts from the frequency of appearance of key words," Economics Discussion Papers 2015-51, Kiel Institute for the World Economy (IfW Kiel).
    5. Thorsten Lehnert, 2019. "Asset pricing implications of good governance," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.
    6. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Post-Print halshs-01442618, HAL.
    7. Tobias Knabke & Sebastian Olbrich, 2018. "Building novel capabilities to enable business intelligence agility: results from a quantitative study," Information Systems and e-Business Management, Springer, vol. 16(3), pages 493-546, August.
    8. Sunder Shyam, 2011. "Imagined Worlds of Accounting," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 1(1), pages 1-14, January.
    9. Doureige J. Jurdi, 2020. "Intraday Jumps, Liquidity, and U.S. Macroeconomic News: Evidence from Exchange Traded Funds," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    10. Denisa Banulescu-Radu & Christophe Hurlin & Bertrand Candelon & Sébastien Laurent, 2016. "Do We Need High Frequency Data to Forecast Variances?," Annals of Economics and Statistics, GENES, issue 123-124, pages 135-174.
    11. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.
    12. Almut Veraart & Luitgard Veraart, 2012. "Stochastic volatility and stochastic leverage," Annals of Finance, Springer, vol. 8(2), pages 205-233, May.
    13. Basile, Luigi Jesus & Carbonara, Nunzia & Pellegrino, Roberta & Panniello, Umberto, 2023. "Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making," Technovation, Elsevier, vol. 120(C).
    14. Nguyen, Duc Binh Benno & Prokopczuk, Marcel, 2019. "Jumps in commodity markets," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 55-70.
    15. Loris Gaio, 2005. "A diversity-based approach to requirements tracing in new product development," ROCK Working Papers 031, Department of Computer and Management Sciences, University of Trento, Italy, revised 13 Jun 2008.
    16. B. A. Huberman & N. S. Glance, "undated". "Diversity and Collective Action," Working Papers _001, Xerox Research Park.
    17. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    18. Zhewei Zhang & Youngjin Yoo & Kalle Lyytinen & Aron Lindberg, 2021. "The Unknowability of Autonomous Tools and the Liminal Experience of Their Use," Information Systems Research, INFORMS, vol. 32(4), pages 1192-1213, December.
    19. Guo, Nian-zhi & Tu, Anthony H., 2021. "Stock market synchronization and institutional distance," Finance Research Letters, Elsevier, vol. 42(C).
    20. Rituparna Sen & Pulkit Mehrotra, 2016. "Modeling Jumps and Volatility of the Indian Stock Market Using High-Frequency Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 137-150, June.

    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:eee:phsmap:v:389:y:2010:i:24:p:5749-5758. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.