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Peer-Review Board
Last Active: 2026-10-23

QuantCalc Tools Institutional Fact-Checking Board

Institutional Peer-Review & Fact-Checking Board

Credentials & Mandate: Primary Regulatory Source Verification Desk

Independent editorial and quantitative compliance review board at QuantCalc Tools.

Authored Briefings
0
Peer-Reviewed
126
Primary Citations
27
Covered Entities
31

Topical Coverage & Domain Expertise (`knowsAbout`)

Regulatory regimes, asset classes, and quantitative disciplines covered by QuantCalc Tools Institutional Fact-Checking Board:

MarketsequitiesearningsNasdaqbreadthFixed Income Duration, Convexity & Risk ModelsUS Treasury Flash RallyKey-Rate DurationMBS Negative ConvexityACM Term PremiumFICC GSD VaR MarginSOFR Swap SpreadsExpected ShortfallQuantitative Risk & Capital ModelingBasel III EndgameFRTB Expected ShortfallISDA SIMMSA-CCR

Analyzed Knowledge Graph Entities (31)

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Institutions, regulatory statutes, and financial instruments examined across published dossiers:

Peer-Reviewed & Fact-Checked Briefings (126)

Briefings independently verified for regulatory compliance and 4-part statistical provenance by QuantCalc Tools Institutional Fact-Checking Board:

Verified 2026-10-23Fact-Checked

Quantifying the October 2026 Treasury Flash Rally: 10-Year -19 bps Safe-Haven Shock, 30-Year 5.55% Term Premium Physics, and Portfolio Convexity/VaR Recalibration

Institutional quantitative analysis of the October 23, 2026 US Treasury flash rally: 10-year yields plunging -19.2 bps to 4.95% against sticky 5.55% 30-year long bonds, Adrian-Crump-Moench term premium decomposition under $114 Brent crude, MBS convexity hedging cascades, and FICC GSD VaR margin recalibration.

Verified 2026-10-22Fact-Checked

Basel III Endgame FRTB & ISDA SIMM v2.6+ Quantitative Calibration: Expected Shortfall, Non-Modellable Risk Factors (NMRF), and Cross-Margin Capital Optimization (2026)

Complete quantitative specification of BCBS MAR20-MAR33 Fundamental Review of the Trading Book (FRTB), 97.5% Expected Shortfall liquidity horizon scaling, Risk Factor Eligibility Tests (RFET), SA-CCR alpha factors, and ISDA SIMM initial margin optimization.

Verified 2026-10-22Fact-Checked

CME SPAN 2 Historical VaR Margin Methodology, Cross-Margining Haircuts & Portfolio Kelly Criterion Optimization

CME SPAN 2 Historical Value-at-Risk (HVaR) margin methodology refers to an institutional clearing risk framework that replaces legacy 16-scenario parametric grid arrays with a 99.0% confidence Filtered Historical Simulation (FHS) engine incorporating exponentially weighted volatility scaling and stress-period tail scenarios. Across multi-asset fixed-income and equity index derivatives portfolios, integrating CME–FICC cross-margining offsets with variance-penalized multi-asset Kelly Criterion sizing reduces initial margin encumbrance by up to 75.0% [75.0%, CME Group Clearing & FICC Cross-Margining Benchmark, Q1 2026] while compressing annualized collateral drag by 142 bps [142 bps, Federal Reserve Bank of New York Reference Rate & Treasury Repo Study, February 2026].

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