Research
Compliance
Comparing tail forecasts: the number of exceedances is the sample size
Key Insights
- When two forecasts of a tail, such as prediction intervals at high coverage, extreme quantiles or expected shortfall (ES), are compared by a consistent score, the score difference is known in advance.
Cite this synthesis
DOI: 10.48550/arXiv.2610.40366 ↗
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@misc{ acaciacompliance-research-comparing-tail-forecasts-the-number-of-exceedances-is-the-sa,
title = { Comparing tail forecasts: the number of exceedances is the sample size },
author = { Leszek },
year = { 2026 },
doi = { 10.48550/arXiv.2610.40366 },
url = { http://arxiv.org/abs/2610.40366v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Comparing tail forecasts: the number of exceedances is the sample size AU - Leszek PY - 2026 DO - 10.48550/arXiv.2610.40366 UR - http://arxiv.org/abs/2610.40366v1 ER -
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Overview
When two forecasts of a tail, such as prediction intervals at high coverage, extreme quantiles or expected shortfall (ES), are compared by a consistent score, the score difference is known in advance
Why It Matters
This item adds to the AML and compliance knowledge base. Practitioners can use it to stay current on Comparing tail forecasts: the number of exceedances is the sample size, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
Key Takeaways
- Understand how Comparing tail forecasts: the number of exceedances is the sample size relates to AML and compliance workflows and controls.
- Assess evidence quality and freshness before acting on the findings.
- Use the tagged topics to connect this item to related content in the library.
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