Semi-strong and strong form information efficiency in betting markets

doi:10.1017/CBO9780511493614.004

3 - Semi-strong and strong form information efficiency in betting markets

Published online by Cambridge University Press: 09 July 2009

Leighton Vaughan Williams

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Leighton Vaughan Williams

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Leighton Vaughan Williams: Affiliation:
Professor of Economics and Finance Nottingham Business School Nottingham Trent University
Leighton Vaughan Williams: Affiliation:
Nottingham Trent University

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Introduction

So far, our analysis has concentrated on weak form information efficiency in betting markets. In this chapter the focus turns to semi-strong and strong form efficiency. Semi-strong form information efficiency is the notion that current prices incorporate all publicly available information. In consequence, in a financial market which is semi-strong efficient it should not be possible to earn above-average or abnormal returns on the basis of information which is publicly available. In a market which is strong form efficient it should not be possible to do so even if given all information, including private information. Indeed, any such strategy should on average yield the same return, unless there are differential costs or risks associated with these strategies.

The existence of semi-strong efficiency in betting markets would imply, therefore, that the expected returns to any bet, or type of bet, placed about identical outcomes on the basis of publicly available information, should be identical (subject to identical costs and risks). The same applies with respect to strong efficiency when assessed in respect of all information. Otherwise bettors could use this information to increase their expected returns. In a semi-strong efficient market, for example, the expected return to a bet placed on a horse on the parimutuel (or ‘Tote’) should be identical to that available with bookmakers, should both options be available. Similarly, it should not be possible to identify patterns in the returns which can be used to yield above-average or abnormal returns.

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Type: Chapter
Information: Information Efficiency in Financial and Betting Markets , pp. 123 - 156

DOI: https://doi.org/10.1017/CBO9780511493614.004 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2005

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References

Ali, M. M. (1979) ‘Some Evidence on the Efficiency of a Speculative Market’, Econometrica, 47, pp. 387–92CrossRef Google Scholar

Anderson, D., Clarke, R. and Ziegler, P. (1985) ‘Information, Equilibrium, Efficiency in Betting Markets’, University of Queensland, Working Paper

Asch, P. and Quandt, R. E. (1986) The Professor's Guide to Strategies, Dover, MA: Auburn HouseGoogle Scholar

Asch, P. and Quandt, R. E.(1987) ‘Efficiency and Profitability in Exotic Bets’, Economica, 59, pp. 278–98Google Scholar

Benter, W. (1994) ‘Computer Based Horse Race Handicapping and Wagering Systems: A Report’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 183–98Google Scholar

Betton, S. (1994) ‘Post Position Bias: An Econometric Analysis of the 1987 Season at Exhibition Park’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 511–26Google Scholar

Beyer, A. (1983) The Winning Horseplayer, Boston: Houghton-MifflinGoogle Scholar

Bird, R. and McCrae, M. (1987) ‘Tests of the Efficiency of Racetrack Betting Using Bookmaker Odds’, Management Science, 33, pp. 1552–62CrossRef Google Scholar

Bird, R. and McCrae, M. (1994) ‘Efficiency of Racetrack Betting Markets: Australian Evidence’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 575–82Google Scholar

Blackburn, P. and Peirson, J. (1995) ‘Betting at British Racecourses: An Analysis of Semi-Strong Efficiency between Bookmaker and Tote Odds’, Studies in Economics, 95/4, University of Kent

Bolton, R. N. and Chapman, R. G. (1986) ‘Searching for Positive Returns at the Track: A Multinomial Logit for Handicapping Horse Races’, Management Science, 32, pp. 1040–59CrossRef Google Scholar

Brown, K. C. and Harlow, W. V. (1988) ‘Market Overreaction: Magnitude and Intensity’, Journal of Portfolio Management, 14, pp. 6–13CrossRef Google Scholar

Busche, K. (1994) ‘Efficient Market Results in an Asian Setting’, in Hausch, D. B., Lo, Victor S. Y. and Ziemba, William T., (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 615–16Google Scholar

Busche, K. and Hall, C. D. (1988) ‘An Exception to the Risk Preference Anomaly’, Journal of Business, 61, pp. 337–46CrossRef Google Scholar

Cain, M., Law, D. and Peel, D. A. (1999) ‘Estimates of the Degree of Insider Trading in Two Disparate Betting Markets’, Applied Economics Letters, 6(3), pp. 191–3CrossRef Google Scholar

Cain, M., Law, D. and Peel, D. A.(2001a) ‘The Relationship between Two Indicators of Insider trading in British Racetrack Betting’, Economica, 68, pp. 97–104CrossRef Google Scholar

Cain, M., Law, D. and Peel, D. A.(2001b) ‘The Incidence of Insider Trading in Betting Markets and the Gabriel and Marsden Anomaly’, Manchester School, 69(2), pp. 197–207CrossRef Google Scholar

Cain, M., Law, D. and Peel, D, (2003a) ‘The Favourite-Longshot Bias, Bookmaker Margins and Insider Trading in a Variety of Betting Markets’, Bulletin of Economic Research, 55(3), pp. 263–73CrossRef Google Scholar

Cain, M., Peel, D. and Law, D. (2003b) ‘The Favourite-Longshot Bias and the Gabriel and Marsden Anomaly: An Explanation Based on Utility Theory’, in Vaughan Williams, L. (ed.), The Economics of Gambling, London: Routledge, pp. 2–13Google Scholar

Canfield, B., Fauman, B. C. and Ziemba, W. T. (1987) ‘Efficient Market Adjustment of Odds Prices to Reflect Track Biases’, Management Science, 33, pp. 1428–39CrossRef Google Scholar

Chan, K. C. (1986) ‘Can Tax-Loss Selling Explain the January Seasonal Effect in Stock Returns?’, Journal of Finance, December, pp. 1115–28CrossRef Google Scholar

Chapman, R. G. (1994) ‘Still Searching for Positive Returns at the Track: Empirical Results from 2,000 Hong Kong Races’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 173–81Google Scholar

Clotfelter, C. and Cook, P. J. (1991) ‘Lotteries in the Real World’, Journal of Risk and Uncertainty, 4, pp. 227–32CrossRef Google Scholar

Clotfelter, C. and Cook, P. J. (1993) ‘The “Gambler's Fallacy” in Lottery Play’, Management Science, 39(12), pp. 1521–25CrossRef Google Scholar

Cohen, I. S. and Stephens, G. D. (1963) Scientific Handicapping: Tested Ways to Win at the Track, Englewood Cliffs, NJ: Prentice-HallGoogle Scholar

Crafts, N. F. R. (1985) ‘Some Evidence of Insider Knowledge in Horse Race Betting in Britain’, Economica, 52, pp. 295–304CrossRef Google Scholar

Crafts, N. F. R. (1994) ‘Winning Systems? Some Further Evidence on Insiders and Outsiders in British Horse Race Betting’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 545–9Google Scholar

Bondt, W. and Thaler, R. (1985) ‘Does the Stock Market Over-React?’, Journal of Finance, 40(3), pp. 793–805CrossRef Google Scholar

Leeuw, F. and McKelvey, M. J. (1984) ‘Price Expectations of Business Firms: Bias in the Short and Long Run’, American Economic Review, 74, pp. 99–100Google Scholar

Dowie, J. (1976) ‘On the Efficiency and Equity of Betting Markets’, Economica, 43(170), pp. 139–50CrossRef Google Scholar

Edelman, D. (2003) ‘A Competitive Horse-Race Handicapping Algorithm Based on an Analysis of Covariance’, in Vaughan Williams, L. (ed.), The Economics of Gambling, London: Routledge, pp. 106–13Google Scholar

Fama, E. F. (1970) ‘Efficient Capital Markets: A Review of Theory and Empirical Work’, Journal of Finance, 25(2), pp. 383–417CrossRef Google Scholar

Figlewski, S. (1979) ‘Subjective Information and Market Efficiency in a Betting Model’, Journal of Political Economy, 87, pp. 75–88CrossRef Google Scholar

Fingleton, J. and Waldron, P. (1996) ‘Optimal Determination of Bookmakers’ Betting Odds: Theory and Tests’, Trinity Economic Papers, Technical Paper, 9, December

Gabriel, P. E. and Marsden, J. R. (1990) ‘An Examination of Market Efficiency in British Racetrack Betting’, Journal of Political Economy, 98, pp. 874–85CrossRef Google Scholar

Gabriel, P. E. and Marsden, J. R. (1991) ‘An Examination of Market Efficiency in British Racetrack Betting: Errata and Corrections’, Journal of Political Economy, 99, pp. 657–9CrossRef Google Scholar

Goddard, T. J. and Asimakopoulos, I. (2004) ‘Forecasting Football Results and the Efficiency of Fixed-Odds Betting’, Journal of Forecasting, 23(1), pp. 51–66CrossRef Google Scholar

Hausch, Donald B., Ziemba, William T. and Rubinstein, M. (1981) ‘Efficiency of the Market for Racetrack Betting,’ Management Science, 27, pp. 1435–52CrossRef Google Scholar

Henery, R. J. (1985) ‘On the Average Probability of Losing Bets on Horses with Given Starting Price Odds’, Journal of the Royal Statistical Society, 148(4), pp. 342–9CrossRef Google Scholar

Jullien, B. and Salanié, B. (1994) ‘Measuring the Incidence of Insider Trading: A Comment on Shin’, Economic Journal, 104, pp. 1418–19CrossRef Google Scholar

Kahneman, D. and Tversky, A. (1982) ‘Intuitive Prediction: Biases and Corrective Procedures’, in Kahneman, D., Slovic, P. and Tversky, A. (eds.), Judgment under Uncertainty: Heuristics and Biases, Cambridge: Cambridge University Press, pp. 414–21CrossRef Google Scholar

Law, D. and Peel, D. A. (2002) ‘Insider Trading, Herding Behaviour and Market Plungers in the British Horse-Race Betting Market’, Economica, 69, pp. 327–38CrossRef Google Scholar

Levitt, S. D. (2004) ‘Why are Gambling Markets Organized so Differently from Financial Markets?’, Economic Journal, 114(495), pp. 223–46CrossRef Google Scholar

Lo, V. S. Y. and Busche, K. (1994) ‘How Accurately Do Bettors Bet in Doubles?’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 465–8Google Scholar

Losey, R. L. and Talbott, J. C. Jr. (1980) ‘Back on the Track with the Efficient Markets Hypothesis’, Journal of Finance, 35, pp. 1039–43CrossRef Google Scholar

McQuaid, C. (ed.) (1971) Gambler's Digest, Chicago: Follett Publishing Co.Google Scholar

Metzger, M. A. (1985) ‘Biases in Betting: An Application to Laboratory Findings’, Psychological Reports, 56, pp. 883–8CrossRef Google Scholar PubMed

Paton, D. and Vaughan Williams, L. (2001) ‘Monopoly Rents and Price Fixing in Betting Markets’, Review of Industrial Organization, 19(2), pp. 265–78CrossRef Google Scholar

Paton, D. and Vaughan Williams, L. (2005) ‘Forecasting Outcomes in Spread Betting Markets: Can Bettors Use ‘Quarbs’ to Beat the Book?’, Journal of Forecasting, 24(2), pp. 139–54CrossRef Google Scholar

Paton, D., Vaughan Williams, L. and Fraser, S. (1999) ‘Regulating Insider Trading in Betting Markets’, Bulletin of Economic Research, 51(3), pp. 237–41CrossRef Google Scholar

Peirson, J. and Blackburn, P. (2003) ‘Betting at British Racecourses: A Comparison of the Efficiency of Betting with Bookmakers and at the Tote’, in Vaughan William, L. (ed.), The Economics of Gambling, London: Routledge, pp. 30–42.Google Scholar

Quirin, W. L. (1979) Winning at the Races: Computer Discoveries in Thoroughbred Handicapping, New York: William MorrowGoogle Scholar

Reynolds, R. (1971) Everything You Should Know About Making Money At the Races, Toronto: Pagurian PressGoogle Scholar

Roberts, P. M. and Newton, B. A. (1987) The Intelligent Punter's Survey, Weymouth: TIPS PublishingGoogle Scholar

Schnytzer, A. and Shilony, Y. (1995) ‘Inside Information in a Betting Market’, Economic Journal, 105, pp. 963–71CrossRef Google Scholar

Schnytzer, A. and Shilony, Y. (2003) ‘Is the Presence of Inside Traders Necessary to Give Rise to a Favorite-Longshot Bias?’, in Williams, L. Vaughan (ed.), The Economics of Gambling, London: Routledge, pp. 14–17Google Scholar

Shin, H. S. (1991) ‘Optimal Betting Odds Against Insider Traders’, Economic Journal, 101, pp. 1179–85CrossRef Google Scholar

Shin, H. S. (1992) ‘Prices of State Contingent Claims with Insider Traders and the Favourite-Longshot Bias’, Economic Journal, 102, pp. 426–35CrossRef Google Scholar

Shin, H. S. (1993) ‘Measuring the Incidence of Insider Trading in a Market for State-Contingent Claims’, Economic Journal, 103, pp. 1141–53CrossRef Google Scholar

Smith, M. A. (2003) ‘The Impact of Tipster Information on Bookmakers’ Prices in UK Horse-Race Markets’, in Williams, L. Vaughan (ed.), The Economics of Gambling, London: Routledge, pp. 67–79Google Scholar

Snyder, W. W. (1978a) ‘Horse Racing: Testing the Efficient Markets Model’, Journal of Finance, 33(4), pp. 1109–18CrossRef Google Scholar

Snyder, W. W. (1978b) ‘Decision-Making with Risk and Uncertainty: The Case of Horse Racing’, American Journal of Psychology, 91(2), pp. 201–9CrossRef Google Scholar

Stock, D. (1990) ‘Winner and Loser Anomalies in the German Stock Market’, Journal of Institutional and Theoretical Economics, 146(3), pp. 518–29Google Scholar

Terrell, D. (1994) ‘A Test of the Gambler's Fallacy: Evidence From Pari-Mutuel Games’, Journal of Risk and Uncertainty, 8, pp. 309–17CrossRef Google Scholar

Terrell, D. and Farmer, A. (1996) ‘Optimal Betting and Efficiency in Parimutuel Betting Markets with Information Costs’, Economic Journal, 106, pp. 846–68CrossRef Google Scholar

Tuckwell, R. (1983) ‘The Thoroughbred Gambling Market: Efficiency, Equity and Related Issues’, Australian Economic Papers, 22, pp. 106–8CrossRef Google Scholar

Vaughan Williams, L. (1999) ‘The Costs of Insider Trading: Evidence from Defined Markets’, Economic Issues, pp. 19–30Google Scholar

Vaughan Williams, L. (2000) ‘Can Forecasters Forecast Successfully? Evidence from UK Betting Markets’, Journal of Forecasting, 19(6), pp. 505–143.0.CO;2-2>CrossRef Google Scholar

Vaughan Williams, L. (2001) ‘Insiders and International Finance: Evidence from Complementary Markets’, Ekonomia, 5(2) 2001Google Scholar

Vaughan Williams, L. and Paton, D. (1996) ‘Risk, Return and Adverse Selection: A Study of Optimal Behaviour Under Asymmetric Information’, Rivista di Politica Economica, November–December, pp. 63–81, reprinted in Baldasssari, M., Bagella, M. and Paganetto, L. (eds.) (2001), Financial Markets: Imperfect Information and Risk Management, New York: Palgrave, pp. 63–81Google Scholar

Vaughan Williams, L. and Paton, D. (1997a) ‘Why is there a Favourite-Longshot Bias in British Racetrack Betting Markets?’, Economic Journal, 107(1), pp. 150–8CrossRef Google Scholar

Vaughan Williams, L. and Paton, D. (1997b) ‘Does Information Efficiency Require a Perception of Information Inefficiency?’, Applied Economics Letters, 4, pp. 615–17CrossRef Google Scholar

Vergin, R. C. (1977) ‘An Investigation of Decision Rules for Thoroughbred Racehorse Wagering’, Interfaces, 8(1), pp. 34–45CrossRef Google Scholar

Zuber, R. A., Gandar, J. M. and Bowers, B. D. (1985) ‘Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games’, Journal of Political Economy, 93, pp. 800–6CrossRef Google Scholar

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