Finding 7093Emerging EvidenceValidation V0
This paper uniquely advances Quantitative Risk Management by developing and empirically testing novel solutions for negative and multi-level risk allocations under Basel 2.5 and FRTB. Its originality lies in combining practical allocation methods with efficient Monte Carlo computation for Shapley allocation, offering significant insights for regulatory compliance and risk capital allocation.
78%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting78% linkage confidence
This paper uniquely advances Quantitative Risk Management by developing and empirically testing novel solutions for negative and multi-level risk allocations under Basel 2.5 and FRTB. Its originality lies in combining practical allocation methods with efficient Monte Carlo computation for Shapley allocation, offering significant insights for regulatory compliance and risk capital allocation.
key_findings bullet 4 · key_findings
Inspect source: Sharpening Shapley Allocation: from Basel 2.5 to FRTB →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.