IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02098605.html
   My bibliography  Save this paper

Flickering in Information Spreading Precedes Critical Transitions in Financial Markets

Author

Listed:
  • Hayette Gatfaoui

    (IÉSEG School Of Management [Puteaux], CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Philippe de Peretti

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

No abstract is available for this item.

Suggested Citation

  • Hayette Gatfaoui & Philippe de Peretti, 2019. "Flickering in Information Spreading Precedes Critical Transitions in Financial Markets," Post-Print hal-02098605, HAL.
  • Handle: RePEc:hal:journl:hal-02098605
    DOI: 10.1038/s41598-019-42223-9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Christophe Chorro & Emmanuelle Jay & Philippe de Peretti & Thibault Soler, 2021. "Frequency causality measures and Vector AutoRegressive (VAR) models: An improved subset selection method suited to parsimonious systems," Post-Print halshs-03216938, HAL.
    2. Christophe Chorro & Emmanuelle Jay & Philippe De Peretti & Thibault Soler, 2021. "Frequency causality measures and Vector AutoRegressive (VAR) models: An improved subset selection method suited to parsimonious systems," Documents de travail du Centre d'Economie de la Sorbonne 21013, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Andrew R. Tilman & Elisabeth H. Krueger & Lisa C. McManus & James R. Watson, 2023. "Maintaining human wellbeing as socio-environmental systems undergo regime shifts," Papers 2309.04578, arXiv.org.
    4. An, Sufang & An, Feng & Gao, Xiangyun & Wang, Anjian, 2023. "Early warning of critical transitions in crude oil price," Energy, Elsevier, vol. 280(C).
    5. Ismail, Mohd Sabri & Noorani, Mohd Salmi Md & Ismail, Munira & Razak, Fatimah Abdul & Alias, Mohd Almie, 2022. "Early warning signals of financial crises using persistent homology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    6. Christophe Chorro & Emmanuelle Jay & Philippe de Peretti & Thibault Soler, 2021. "Frequency causality measures and Vector AutoRegressive (VAR) models: An improved subset selection method suited to parsimonious systems," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03216938, HAL.
    7. Tilman, Andrew R. & Krueger, Elisabeth H. & McManus, Lisa C. & Watson, James R., 2024. "Maintaining human wellbeing as socio-environmental systems undergo regime shifts," Ecological Economics, Elsevier, vol. 221(C).
    8. Paul Hutchings & Simon Willcock & Kenneth Lynch & Dilshaad Bundhoo & Tim Brewer & Sarah Cooper & Daniel Keech & Sneha Mekala & Prajna Paramita Mishra & Alison Parker & Charlie M. Shackleton & Kongala , 2022. "Understanding rural–urban transitions in the Global South through peri-urban turbulence," Nature Sustainability, Nature, vol. 5(11), pages 924-930, November.

    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:hal:journl:hal-02098605. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.