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
Full text not available from this repository.Official URL: http://dx.doi.org/10.1002/1099-131X(200012)19:7<57...
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: | Article |
|---|---|
| Journal or Publication Title: | Journal of Forecasting |
| Subjects: | H Social Sciences > HB Economic Theory |
| Departments: | Lancaster University Management School > Economics |
| ID Code: | 55887 |
| Deposited By: | ep_importer_pure |
| Deposited On: | 16 Jul 2012 11:40 |
| Refereed?: | Yes |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 20:44 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/55887 |
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