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Ender Demir
Hakan Danis
Ugo Rigoni


The sports betting industry is one of the fastest growing industries in the world and therefore the literature on sports betting has gained momentum in the last two decades. The literature mainly focuses on testing the efficiency of the sports betting market. The prediction of game outcomes or comparing the odds of bookmakers by predicted odds and the search for betting strategies which yield significant positive returns have been the core of the market efficiency tests. This study, instead of making any predictions or generating odds to be compared by bookmakers’ odds, implements the Fibonacci sequence on draws as a betting rule for 8 European soccer leagues for the seasons from 2005/2006 to 2008/2009. As the odds offered by bookmakers are narrowly distributed, implementing the Fibonacci strategy for 8 soccer leagues of Europe for 4 seasons yields positive return for all cases and also controlling with simulated data the strategy is found to be in most circumstances profitable. The results indicate that the bookmakers are inefficient in terms of predicting the draws and the soccer betting markets are inefficient. Therefore, the betters could exploit this inefficiency by following Fibonacci strategy assuming they have enough financial liquidity. Furthermore, we calculate the capital needed to pursue the strategy resorting to the Value at Risk (VaR) methodology and reveal that the VaR is only 143€ (assuming that the first bet is 1€) at 95% confidence level.

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Archontakis, F., and Osborne, E. (2007). Playing it safe? A Fibonacci strategy for soccer betting. Journal of Sports Economics, 8, 295-308.

Avery C. and Chevalier, J. (1999). Identifying Investor Sentiment from Price Paths: The Case of Football Betting. Journal of Business, 72, 493-521.

Chen, T., Cheng, C. and Teoh, H. J. (2007). Fuzzy time-series based on Fibonacci sequence for stock price forecasting. Physica A: Statistical Mechanics and its Applications, 380, 377-90.

Dixon, M. J. and Coles, S. G. (1997). Modelling Association Football Scores and Inefficiencies in the Football Betting Market. Applied Statistics, 46, 265-80.

Dixon, M.J and Pope P.F. (2004). The value of statistical forecasts in the UK association football betting market. International Journal of Forecasting, 20, 697–711.

Forrest, D., Goddard, J. and Simmons, R. (2005). Odds-setters as forecasters: The case of English football, International Journal of Forecasting, 21, 551–64.

Forrest, D. and Simmons, R. (2008). Sentiment in the betting market on Spanish football. Applied Economics, 40, 119–26.

Goddard, J. and Asimakopoulos, I. (2004). Forecasting Football Results and the Efficiency of Fixed-odds Betting. Journal of Forecasting, 23, 51–66.

Graham, I. and Stott, H. (2008). Predicting bookmaker odds and efficiency for UK football, Applied Economics, 40, 99-109.

Kossmeier, S. and Weinberger, S. (2008). Efficiency of Soccer Betting Odds—Evidence from a Pan-European Electronic Market, in Handbook of Sports and Lottery Markets (Handbooks in Finance) edited by Donald B. Hausch and William T. Ziemba. USA: Elsevier/North-Holland, pp. 447-56.

Kuypers, T. (2000). Information and efficiency: an empirical study of a fixed odds betting market. Applied Economics, 32, 1353-63.

Mitchell, J. (2001). Clustering and psychological barriers: The importance of numbers. The Journal of Futures Markets, 21, 395–428.

Milliner, I., Paul, W. and Webber, Don J. (2009). A Statistical Development of Fixed Odds Betting Rules in Soccer. The Journal of Gambling Business and Economics, 3, 89-99.

Palomino, F., Renneboog, L. and Zhang, C. (2009). Information salience, investor sentiment, and stock returns: The case of British soccer betting. Journal of Corporate Finance, 15, 368-87.

Peel, D. A. (2008). Introduction: economics of betting markets. Applied Economics, 40, 1–3.

Pope, P. F. and Peel, D. A. (1989). Information, prices and efficiency in a fixed-odds betting market. Economica, 56, 323-41.

Sabah Newspaper, Turkey, available at <,E08800E005154D79A3319A527219B09A.html> (accessed on 11 March 2010)

Stefani, R. T. (1983). Observed betting tendencies and suggested betting strategies for European football pools. The Statistician, 32, 319-29.

Thaler, R. H. and Ziemba, W. T. (1988). Parimutuel betting markets: racetracks and lotteries. Journal of Economic Perspectives, 2, 161-74.

Vlastakisa, N., Dotsis, G. and Markellos, R. N. (2008). Nonlinear modelling of European football scores using support vector machines. Applied Economics, 40, 111–18.

Vlastakisa, N., Dotsis, G. and Markellos, R. N. (2009). How Efficient is the European Football Betting Market? Evidence from Arbitrage and Trading Strategies. Journal of Forecasting, 28, 426–44

Woodland, L. M. and Woodland, B. M. (1994). Market Efficiency and the Favorite-Longshot Bias: The Baseball Betting Market. Journal of Finance, 49, 269-79.