IDEAS home Printed from https://ideas.repec.org/a/kap/regeco/v4y1992i4p347-63.html
   My bibliography  Save this article

The Effects of Deregulating Cable Television: Evidence from the Financial Markets

Author

Listed:
  • Prager, Robin A

Abstract

This paper uses financial market data to study the effects of deregulation on the expected future profitability of United States cable television system operators. The results suggest that although deregulation has enhanced the profitability of these firms, the effect was not anticipated at the time when the deregulatory legislation was passed. Two possible explanations for the unexpected increase in economic rents accruing to cable system shareholders are offered. Copyright 1992 by Kluwer Academic Publishers

Suggested Citation

  • Prager, Robin A, 1992. "The Effects of Deregulating Cable Television: Evidence from the Financial Markets," Journal of Regulatory Economics, Springer, vol. 4(4), pages 347-363, December.
    • Handle: RePEc:kap:regeco:v:4:y:1992:i:4:p:347-63
    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.

    Citations

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


    Cited by:

    1. Arthur Havenner & Thomas Hazlett & Zhiqiang Leng, 2001. "The Effects of Rate Regulation on Mean Returns and Non-Diversifiable Risk: The Case of Cable Television," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(2), pages 149-164, September.
    2. Ni, Xinwen & Härdle, Wolfgang Karl & Xie, Taojun, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," IRTG 1792 Discussion Papers 2020-013, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    3. Kasuga, Norihro & Manabu, Shishikura & Masanori, Kondo, 2007. "Platform Competition in Pay-TV Market," MPRA Paper 5694, University Library of Munich, Germany.
    4. Xinwen Ni & Wolfgang Karl Hardle & Taojun Xie, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," Papers 2009.12121, arXiv.org, revised Aug 2021.
    5. Growitsch, Christian & Müller, Gernot & Rammerstorfer, Margarethe & Weber, Christoph, 2007. "Determinanten der Preisentwicklung auf dem deutschen Minutenreservemarkt," WIK Discussion Papers 300, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.

    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:kap:regeco:v:4:y:1992:i:4:p:347-63. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.