Cain, M. and Law, D. and Peel, David (2000) Testing for statistical and market efficiency when forecast errors are non-normal: the NFL betting market revisted. Journal of Forecasting, 19 (7). pp. 575-586. ISSN 0277-6693
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Official URL: https://doi.org/10.1002/1099-131X(200012)19:7<575:...
Abstract
This paper examines the efficiency of the National Football League (NFL) betting market. Previous econometric work on the subject has been based on least squares estimators, and has been marred by non-normal errors, which have cast doubt on standard hypothesis testing procedures. It is found that the negative binomial distribution provides a good description of points scored in NFL football games, but no significant departures from market efficiency were discovered.
Item Type:
Journal Article
Journal or Publication Title:
Journal of Forecasting
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/hb
Subjects:
?? ECONOMICSMODELLING AND SIMULATIONSTRATEGY AND MANAGEMENTMANAGEMENT SCIENCE AND OPERATIONS RESEARCHSTATISTICS, PROBABILITY AND UNCERTAINTYCOMPUTER SCIENCE APPLICATIONSHB ECONOMIC THEORY ??
Departments:
ID Code:
55887
Deposited By:
Deposited On:
16 Jul 2012 10:40
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Sep 2023 00:02