Benchmarking M6 competitors: An analysis of financial metrics and discussion of incentives

The M6 Competition assessed the performance of competitors using a ranked probability score and an information ratio. While these metrics do well at picking the winners in the competition, crucial questions remain for investors with longer-term incentives. To address these questions, we compare the competitors’ performance with a number of conventional (long-only) and alternative indices using industry-relevant metrics. We apply factor models to measure the competitors’ value-adds above industry-standard benchmarks and find that competitors with more extreme performance are less dependent on the benchmarks. We further introduce two new strategies by picking the competitors with the best (Superstars) and worst (Superlosers) recent performance and show that it is challenging to identify skill amongst investment managers. Finally, we discuss the incentives of winning the competition compared with professional investors, where investors wish to maximize fees over an extended period of time, and provide suggestions for future competition improvements.

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Publication Details

Journal
International Journal of Forecasting
Published
2025-08-29
DOI
https://doi.org/10.1016/j.ijforecast.2025.03.008
Citations
1
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
2.21
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article

Benchmarking M6 competitors: An analysis of financial metrics and discussion of incentives

Alexander Aue, Matthew J. Schneider, Prabir Burman, Rufus Rankin
1 citations
International Journal of Forecasting
Financial Markets and Investment Strategies
2.21
article

Benchmarking M6 competitors: An analysis of financial metrics and discussion of incentives

Alexander Aue, Matthew J. Schneider, Prabir Burman, Rufus Rankin
article en
1 citations

Abstract

The M6 Competition assessed the performance of competitors using a ranked probability score and an information ratio. While these metrics do well at picking the winners in the competition, crucial questions remain for investors with longer-term incentives. To address these questions, we compare the competitors’ performance with a number of conventional (long-only) and alternative indices using industry-relevant metrics. We apply factor models to measure the competitors’ value-adds above industry-standard benchmarks and find that competitors with more extreme performance are less dependent on the benchmarks. We further introduce two new strategies by picking the competitors with the best (Superstars) and worst (Superlosers) recent performance and show that it is challenging to identify skill amongst investment managers. Finally, we discuss the incentives of winning the competition compared with professional investors, where investors wish to maximize fees over an extended period of time, and provide suggestions for future competition improvements.

International Journal of ForecastingVol. 41(4)
Global Strategy Group (US), HealthPartners (US), University of California, Davis (US)
Openalex Percentile: Top 11%
Financial Markets and Investment Strategies
2.21
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Benchmarking M6 competitors: An analysis of financial metrics and discussion of incentives — Alexander Aue, Matthew J. Schneider, et al. · International Journal of Forecasting (2025) | TGRS Research Map | TGRS