The DOI matches its Crossref record.
Testing for market efficiency in gambling markets when the errors are non-normal and heteroskedastic an application of the wild bootstrap
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In the citing paper
“Ioannidis and Peel (2005) showed that forecast errors can exhibit heteroskedasticity under the null of market efficiency.”
From Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball (2023) · cites this paper as Ioannidis and Peel (2005)
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Research works printed but not linked: 5
- Cain, 2000, Testing for statistical and market efficiency when forecast errors are non-normal: the NFL betting market revisited, Journal of Forecasting, 19, 575, 10.1002/1099-131X(200012)19:7<575::AID-FOR765>3.0.CO;2-U · DOI
- Gabriel, 1990, An examination of market efficiency in British racetrack betting, Journal of Political Economy, 96, 874, 10.1086/261710 · DOI
- Goncalves, S., Kilian, L., 2002. Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form, mimeo; University of Michigan. · DOI
- Reep, 1968, Skill and chance in association football, Journal of the Royal Statistical Society. Series A, 131, 581, 10.2307/2343726 · DOI
- Russo, 1989, Market rationality tests based on cross-equation restrictions, Journal of Monetary Economics, 24, 455, 10.1016/0304-3932(89)90032-9 · DOI
Cited by
Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball
De Angelis, L., & Reade, J. J. (2023) · Annals of Operations Research · doi:10.1007/s10479-022-04950-7 · Cited by 18
Informational Efficiency and Behaviour Within In-Play Prediction Markets
Angelini, G., De Angelis, L., & Singleton, C. (2020) · Social Science Research Network · doi:10.2139/ssrn.3505287 · Cited by 23
Metadata
- Authors
- Ioannidis, C., & Peel, D. A.
- Venue
- Economics Letters
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 87
- Issue
- 2
- Pages
- 221-226
- ISSN
- 0165-1765
- Cited by
- 13
- References
- 0
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
