Journal article | Zeitschriftenartikel
Nonlinear Modeling of European Football Scores Using Support Vector Machines
This paper explores the linear and nonlinear forecastability of European football match scores using IX2 and Asian Handicap odds data from the English Premier league. To this end, we compare the performance of a Poisson count regression to that of a nonparametric Support Vector Machine (SVM) model. Our descriptive analysis of the odds and match outcomes indicate that these variables are strongly interrelated in a nonlinear fashion. An interesting finding is that the size of the Asian Handicap appears to be a significant predictor of both home and away team scores. The modeling results show that while the SVM is only marginally superior on the basis of statistical criteria, it manages to produce out-of-sample forecasts with much higher economic significance.
- ISSN
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1466-4283
- Extent
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Seite(n): 111-118
- Language
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Englisch
- Notes
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Status: Postprint; begutachtet (peer reviewed)
- Bibliographic citation
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Applied Economics, 40(1)
- Subject
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Wirtschaft
Wirtschaftssektoren
Volkswirtschaftstheorie
- Event
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Geistige Schöpfung
- (who)
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Markellos, Raphael Nicholas
- Event
-
Veröffentlichung
- (when)
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2008
- DOI
- URN
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urn:nbn:de:0168-ssoar-242840
- Rights
-
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
- Last update
-
21.06.2024, 4:27 PM CEST
Data provider
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln. If you have any questions about the object, please contact the data provider.
Object type
- Zeitschriftenartikel
Associated
- Markellos, Raphael Nicholas
Time of origin
- 2008
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