Beating the market with a bad predictive model
Year of publication: |
2023
|
---|---|
Authors: | Hubáček, Ondřej ; Šír, Gustav |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 39.2023, 2, p. 691-719
|
Subject: | Correlation | Kelly criterion | Market forecasting | Portfolio optimization | Prediction Markets | Predictive Modeling | Sports betting | Trading | Portfolio-Management | Portfolio selection | Prognoseverfahren | Forecasting model | Prognose | Forecast | Glücksspiel | Gambling | Korrelation | Kapitaleinkommen | Capital income | Effizienzmarkthypothese | Efficient market hypothesis |
-
Forecasting Covariance for Optimal Carry Trade Portfolio Allocations
Ames, Matthew, (2016)
-
The information content of corporate pension funding status in Japan
Goto, Shingo, (2016)
-
Are betting returns a useful measure of accuracy in (sports) forecasting?
Wunderlich, Fabian, (2020)
- More ...
-
Forty years of score-based soccer match outcome prediction : an experimental review
Hubáček, Ondřej, (2022)
-
Exploiting sports-betting market using machine learning
Hubáček, Ondřej, (2019)
-
Competing in daily fantasy sports using generative models
Mlčoch, David, (2024)
- More ...