Introduction to the Efficiency of Win Markets and the Favorite-Longshot Bias
Donald B. Hausch,
Victor S. Y. Lo and
William T. Ziemba
Additional contact information
Donald B. Hausch: University of Wisconsin-Madison, USA
Victor S. Y. Lo: University of British Columbia, Canada
William T. Ziemba: University of British Columbia, Canada
Chapter 25 in Efficiency of Racetrack Betting Markets, 2008, pp 251-253 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
AbstractEconomists have long shown interest in racetrack betting as a source for investigating attitudes to risk and the efficiency of markets. Thaler and Ziemba (1988)1, surveying research in both racing and lotteries, point that racetrack betting is an interesting application of efficient markets and rational expectations hypotheses since it possesses the usual characteristics of financial markets; namely, large numbers of investors/bettors with access to rich information sets. An advantage for testing financial theories that the racetrack has over most financial markets, though, is that there is a well-defined termination point at which final payoffs are determined…
Keywords: Racetrack Efficiency; Racetrack Betting Market; Racetrack Betting; Win Market; Finance (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789812819192_0025 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789812819192_0025 (text/html)
Ebook Access is available upon purchase.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789812819192_0025
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().