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Modelling the Behaviour and Performance of Australian Football Tipsters

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Author Info
Matthew Amor
William Griffiths

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Abstract

The forecasting performance of newspaper tipsters who predict the outcomes of English soccer matches has recently been assessed by Forrest and Simmons (2000). In this paper we extend their work to forecasts of AFL matches by five newspaper tipsters in Melbourne, Australia. These tipsters are assessed against some simple performance criteria as well as against the forecasts from a logit model designed to predict match outcomes. We find that most tipsters satisfy simple performance criteria. However, they do not fully exploit publicly available information and only two appear to successfully use independent information relevant to match outcomes.

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File URL: http://www.economics.unimelb.edu.au/SITE/research/workingpapers/wp03/871.pdf
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Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 871.

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Length: 23 pages
Date of creation: 2003
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Handle: RePEc:mlb:wpaper:871

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  1. Gandar, John M. & Zuber, Richard A. & Lamb, Reinhold P., 2001. "The home field advantage revisited: a search for the bias in other sports betting markets," Journal of Economics and Business, Elsevier, vol. 53(4), pages 439-453. [Downloadable!] (restricted)
  2. Forrest, David & Simmons, Robert, 2000. "Forecasting sport: the behaviour and performance of football tipsters," International Journal of Forecasting, Elsevier, vol. 16(3), pages 317-331. [Downloadable!] (restricted)
  3. Vergin, Roger C, 2001. "Overreaction in the NFL Point Spread Market," Applied Financial Economics, Taylor and Francis Journals, vol. 11(5), pages 497-509, October. [Downloadable!] (restricted)
  4. Gray, Philip K & Gray, Stephen F, 1997. " Testing Market Efficiency: Evidence from the NFL Sports Betting Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1725-37, September. [Downloadable!] (restricted)
  5. Webby, Richard & O'Connor, Marcus, 1996. "Judgemental and statistical time series forecasting: a review of the literature," International Journal of Forecasting, Elsevier, vol. 12(1), pages 91-118, March. [Downloadable!] (restricted)
  6. Klaassen, F.J.G.M. & Magnus, J.R., 2001. "Forecasting the winner of a tennis match," Discussion Paper 38, Tilburg University, Center for Economic Research. [Downloadable!]
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  7. Gandar, John M & Zuber, Richard A & Johnson, R Stafford, 2001. "Searching for the Favourite-Longshot Bias Down Under: An Examination of the New Zealand Pari-mutuel Betting Market," Applied Economics, Taylor and Francis Journals, vol. 33(13), pages 1621-29, October. [Downloadable!] (restricted)
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