M6 investment challenge: the role of luck and strategic considerations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11640%2F25%3A00638902" target="_blank" >RIV/00216208:11640/25:00638902 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.ijforecast.2025.03.005" target="_blank" >https://doi.org/10.1016/j.ijforecast.2025.03.005</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ijforecast.2025.03.005" target="_blank" >10.1016/j.ijforecast.2025.03.005</a>
Alternative languages
Result language
angličtina
Original language name
M6 investment challenge: the role of luck and strategic considerations
Original language description
This article investigates the influence of luck and strategic considerations on the performance of teams participating in the M6 investment challenge. We find that there is insufficient evidence to suggest that the extreme Sharpe ratios observed are beyond what one would expect by chance, given the number of teams, and thus not necessarily indicative of the possibility of consistently attaining abnormal returns. These findings are consistent with the efficient-market hypothesis, reinforcing the notion that any apparent outperformance is indistinguishable from statistical noise. Furthermore, we introduce a stylized model of the competition to derive and analyze a portfolio strategy optimized for attaining the top rank. The results demonstrate that the task of achieving the top rank is not necessarily identical to that of attaining the best investment returns in expectation. It is possible to improve one’s chances of winning, even without the ability to attain abnormal returns, by constructing a portfolio that deviates from the strategies of competitors. Empirical analysis of submitted portfolios shows that teams that differentiated themselves from competitors by holding a higher proportion of short positions were more than eight times as likely to secure a top rank, aligning with findings from the stylized model.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Forecasting
ISSN
0169-2070
e-ISSN
1872-8200
Volume of the periodical
41
Issue of the periodical within the volume
4
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
15
Pages from-to
1413-1427
UT code for WoS article
001570759600004
EID of the result in the Scopus database
2-s2.0-105003936678