IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v33y1990i2p159-164.html
   My bibliography  Save this article

Asset price volatility and information structures

Author

Listed:
  • Attanasio, Orazio P.

Abstract

No abstract is available for this item.

Suggested Citation

  • Attanasio, Orazio P., 1990. "Asset price volatility and information structures," Economics Letters, Elsevier, vol. 33(2), pages 159-164, June.
    • Handle: RePEc:eee:ecolet:v:33:y:1990:i:2:p:159-164
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0165-1765(90)90162-T
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Léopold Djoutsa Wamba & Jean‐Michel Sahut & Eric Braune & Frédéric Teulon, 2020. "Does the optimization of a company's environmental performance reduce its systematic risk? New evidence from European listed companies," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(4), pages 1677-1694, July.
    2. Barros, Victor & Verga Matos, Pedro & Miranda Sarmento, Joaquim & Rino Vieira, Pedro, 2023. "High-tech firms: Dividend policy in a context of sustainability and technological change," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    3. Umar Butt & Trevor William Chamberlain, 2023. "Blockholdings, Dividend Policy, Stock Returns and Return Volatility: Evidence from the UAE," IJFS, MDPI, vol. 11(4), pages 1-13, October.
    4. Dammak, Wael & Hamad, Salah Ben & de Peretti, Christian & Eleuch, Hichem, 2023. "Pricing of European currency options considering the dynamic information costs," Global Finance Journal, Elsevier, vol. 58(C).
    5. Geoffrey M. Ngene & Parker Benefield & Allen K. Lynch, 2018. "Asymmetric and nonlinear dynamics in sovereign credit risk markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(5), pages 563-585, May.
    6. Gharbi, Sami & Sahut, Jean-Michel & Teulon, Frédéric, 2014. "R&D investments and high-tech firms' stock return volatility," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 306-312.
    7. Aggarwal, Raj & Schatzberg, John D., 1997. "Day of the week effects, information seasonality, and higher moments of security returns," Journal of Economics and Business, Elsevier, vol. 49(1), pages 1-20, February.

    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:eee:ecolet:v:33:y:1990:i:2:p:159-164. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.