IDEAS home Printed from https://ideas.repec.org/p/hhs/sdueko/2012_003.html
   My bibliography  Save this paper

The news model of asset price determination - An empirical examination of the Danish football club Brøndby IF

Author

Listed:
  • Jørgensen, Casper W.

    (University of Southern Denmark)

  • Moritzen, Mark R.

    (University of Southern Denmark)

  • Stadtmann, Georg

    (Department of Business and Economics)

Abstract

According to the news model of asset price determination, only the unexpected component of an information should drive the stock price. We use the Danish publicly listed football club Brøndby IF to analyze how match outcome impacts the stock price. To disentangle gross news from net news, betting odd information is used to control for the expected match outcome.

Suggested Citation

  • Jørgensen, Casper W. & Moritzen, Mark R. & Stadtmann, Georg, 2012. "The news model of asset price determination - An empirical examination of the Danish football club Brøndby IF," Discussion Papers on Economics 3/2012, University of Southern Denmark, Department of Economics.
  • Handle: RePEc:hhs:sdueko:2012_003
    as

    Download full text from publisher

    File URL: https://www.sdu.dk/-/media/files/om_sdu/institutter/ivoe/disc_papers/disc_2012/dpbe3_2012.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brown, Gregory W. & Hartzell, Jay C., 2001. "Market reaction to public information: The atypical case of the Boston Celtics," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 333-370, May.
    2. J. K. Ashton & B. Gerrard & R. Hudson, 2003. "Economic impact of national sporting success: evidence from the London stock exchange," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 783-785.
    3. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    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. Carsten Croonenbroeck & Fabrizio Leonardo Monaco & Mads Julius Christensen, 2015. "Does Danish Football Club Brøndby Swim With the Fishes? An Application of the Reversed News Model," Journal of Sports Economics, , vol. 16(4), pages 425-433, May.
    2. Andrea Schertler & Jarmo Beurden, 2023. "How relative competitive strength moderates stock price responses after European soccer tournaments," Journal of Business Economics, Springer, vol. 93(8), pages 1385-1414, October.
    3. Croonenbroeck, Carsten & Monaco, Fabrizio Leonardo & Christensen, Mads Julius, 2012. "Does Danish football club Brøndby swim with the fishes? An application of the reversed news model," Discussion Papers 330, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.

    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. Georg Stadtmann, 2006. "Frequent News and Pure Signals: The Case of a Publicly Traded Football Club," Working Papers 0603, International Association of Sports Economists;North American Association of Sports Economists.
    2. Carsten Croonenbroeck & Fabrizio Leonardo Monaco & Mads Julius Christensen, 2015. "Does Danish Football Club Brøndby Swim With the Fishes? An Application of the Reversed News Model," Journal of Sports Economics, , vol. 16(4), pages 425-433, May.
    3. Casper Jørgensen & Mark Moritzen & Georg Stadtmann, 2012. "The news model of asset price determination – an empirical examination of the Danish football club," Applied Economics Letters, Taylor & Francis Journals, vol. 19(17), pages 1715-1718.
    4. Jerome Geyer-Klingeberg & Markus Hang & Matthias Walter & Andreas Rathgeber, 2018. "Do stock markets react to soccer games? A meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 50(19), pages 2171-2189, April.
    5. Christian Klein & Bernhard Zwergel & J. Henning Fock, 2009. "Reconsidering the impact of national soccer results on the FTSE 100," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3287-3294.
    6. Chang, Shao-Chi & Chen, Sheng-Syan & Chou, Robin K. & Lin, Yueh-Hsiang, 2012. "Local sports sentiment and returns of locally headquartered stocks: A firm-level analysis," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 309-318.
    7. Dennis Coates & Brad R. Humphreys, 2008. "The Effect of On-Field Success on Stock Prices: Evidence from Nippon Professional Baseball," Working Papers 0805, International Association of Sports Economists;North American Association of Sports Economists.
    8. Tihana Škrinjarić Patrik Barišić, 2019. "Effects of Football Match Results of Croatian National Team on Stock Returns: Evidence from Zagreb Stock Exchange," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 22(1), pages 13-45, May.
    9. Jørgensen, Casper W. & Moritzen, Mark R. & Stadtmann, Georg, 2012. "The news model of asset price determination: An empirical examination of the Danish football club Brøndby IF," Discussion Papers 313, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    10. Krystian M. Zawadzki & Marcin Potrykus, 2023. "Stock Markets’ Reactions to the Announcement of the Hosts. An Event Study in the Analysis of Large Sporting Events in the Years 1976–2032," Journal of Sports Economics, , vol. 24(6), pages 759-800, August.
    11. J. K. Ashton & B. Gerrard & R. Hudson, 2011. "Do national soccer results really impact on the stock market?," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3709-3717.
    12. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    13. Shazia Ghani, 2011. "A re-visit to Minsky after 2007 financial meltdown," Post-Print halshs-01027435, HAL.
    14. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    15. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    16. Andrew Weinbach & Rodney J. Paul, 2009. "National television coverage and the behavioural bias of bettors: the American college football totals market," International Gambling Studies, Taylor & Francis Journals, vol. 9(1), pages 55-66, April.
    17. Oxelheim, Lars & Rafferty, Michael, 2005. "On the static efficiency of secondary bond markets," Journal of Multinational Financial Management, Elsevier, vol. 15(2), pages 117-135, April.
    18. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    19. Nuruddeen Usman & Kodili Nwanneka & Nduka, 2023. "Announcement Effect of COVID-19 on Cryptocurrencies," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 3(3), pages 1-4.
    20. Robert C. Merton, 2006. "Paul Samuelson and Financial Economics," The American Economist, Sage Publications, vol. 50(2), pages 9-31, October.

    More about this item

    Keywords

    News model; football industry; betting odds; stock market; market efficiency; event study;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:sdueko:2012_003. 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: Astrid Holm Nielsen (email available below). General contact details of provider: https://edirc.repec.org/data/okioudk.html .

    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.