The favorite-longshot bias and the impact of experience

Author:

Feess Eberhard,Müller Helge,Schumacher Christoph

Abstract

AbstractWith a unique data set from New Zealand which allows us to assign each bet to individual bettors, we analyze the impact of experience on behavior and success in non-parimutuel (fixed odds) sports betting markets. We find that experienced bettors bet more on favorites than inexperienced bettors do. Average returns, which we use as success measure, increase with experience even after controlling for odds. This means that the higher return of experienced bettors cannot only be attributed to betting more on favorites. To get a more detailed picture, we divide the data set into ten equally large subgroups, sorted by experience. We find that odds decrease from subgroup to subgroup, while success consistently increases. This shows that the positive impact of experience is not mainly driven by professional bettors.

Publisher

Springer Science and Business Media LLC

Subject

Business, Management and Accounting (miscellaneous)

Reference18 articles.

1. Andrikogiannopoulou, Angie. 2010. Estimating risk preferences from a large panel of real-world betting choices. Job market paper, Princeton University, mimeo.

2. Andrikogiannopoulou, Angie, and Filippos Papakonstantinou. 2011. Market efficiency and behavioral biases in the sports betting market. HEC Geneva, working paper.

3. Bradley, Ian. 2003. The representative bettor, bet size, and prospect theory. Economics Letters 78(3): 409–413.

4. Chiappori, Piere A., Amit Gandhi, Bernhard Salanié, and Francois Salanié. 2012. From aggregate betting data to individual risk preferences. Columbia University, working paper.

5. Forrest, David, and Ian McHale. 2007. Anyone for tennis (betting)? The European Journal of Finance 13(8): 751–768.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Statistical risk warnings in gambling;Behavioural Public Policy;2020-11-24

2. Who uses custom sports betting products?;Addiction Research & Theory;2020-07-16

3. A machine learning perspective on responsible gambling;Behavioural Public Policy;2019-04-29

4. Moderators for Partition Dependence in Prediction Markets;Group Decision and Negotiation;2019-04-20

5. To bet or not to bet: a reality check for tennis betting market efficiency;Applied Economics;2017-10-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3