People care about higher statistical moments in decision making under uncertainty

the verdict

SUPPORTED

the evidence backs this

Recorded sources

3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Decision-making models and financial analyses frequently account for higher statistical moments, such as skewness and kurtosis, to better handle uncertainty.

The analysis

The claim is specific and empirical, dealing with behavioral and mathematical decision-making under uncertainty. The retrieved papers, particularly [0], [1], and [2], provide evidence that higher-order moments like skewness and kurtosis are incorporated into decision frameworks and utility functions. The other papers are off-topic clinical or educational studies.

Evidence for · 3

Hedge Funds Portfolio Selection with Higher-Order Moments: A Non-Parametric Mean-Variance-Skewness-Kurtosis Efficient Frontier

Recorded source metadata

Emmanuel Jurczenko, Bertrand B. Maillet, Paul M. Merlin. Hedge Funds Portfolio Selection with Higher-Order Moments: A Non-Parametric Mean-Variance-Skewness-Kurtosis Efficient Frontier. 2005. https://doi.org/10.2139/ssrn.676904

Paper [0] demonstrates that portfolio selection models optimize choices by incorporating higher-order moments such as skewness and kurtosis.

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More for · 2

Some results on multivariate measures of elliptical and skew-elliptical distributions: higher-order moments, skewness and kurtosis

Recorded source metadata

Xueying Yu, Chuancun Yin. Some results on multivariate measures of elliptical and skew-elliptical distributions: higher-order moments, skewness and kurtosis. 2023. https://doi.org/10.3934/math.2023370

Paper [1] discusses the importance of higher-order moments like skewness and kurtosis in characterizing return distributions.

Source citation format

Skewness-Kurtosis Controlled Higher Order Equivalent Decisions

Recorded source metadata

Wolf-Dieter Richter. Skewness-Kurtosis Controlled Higher Order Equivalent Decisions. 2016. https://doi.org/10.2174/1876527001607010001

Paper [2] evaluates how skewness and kurtosis parameters influence decision equivalence and asymptotic tests under uncertainty.

Source citation format

The paper trail · every fact has a biography

first checked01 Aug 2026

judged → SUPPORTED · 8201 Aug 2026

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