IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v300y2001i3p539-550.html
   My bibliography  Save this article

Invasion–percolation and statistics of US Treasury bonds

Author

Listed:
  • Bershadskii, A.

Abstract

Using a model of analytic branching cascades on fractal clusters it is shown that US Treasury securities returns fluctuations exhibit three types of stochastic behaviors: (a) quasi-Brownian type for a very small cluster consisting of just a single bond; (b) lognormal type for a medium-size very compact cluster (branching dimension d=1); and (c) a stretched lognormal distribution (corresponding to branching dimension d=2) for the largest cluster. An analogy with multifractality at the onset of chaos is also discussed.

Suggested Citation

  • Bershadskii, A., 2001. "Invasion–percolation and statistics of US Treasury bonds," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 300(3), pages 539-550.
  • Handle: RePEc:eee:phsmap:v:300:y:2001:i:3:p:539-550
    DOI: 10.1016/S0378-4371(01)00374-0
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437101003740
    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/S0378-4371(01)00374-0?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. Massimo Bernaschi & Luca Grilli & Livio Marangio & Sauro Succi & Davide Vergni, 2000. "Statistical characterisation of Fixed Income market efficiency," Quaderni DSEMS qiac03-2000, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    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. Zheng, Zhiyong & Lu, Yunfan & Zhang, Junhuan, 2022. "Multiscale complexity fluctuation behaviours of stochastic interacting cryptocurrency price model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    2. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.

    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. Tiziana Di Matteo & Tomaso Aste, 2002. "How Does The Eurodollar Interest Rate Behave?," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 107-122.
    2. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.

    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:300:y:2001:i:3:p:539-550. 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.