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Sovereign Fiscal Quality Index (SFQI-40)

Institutional Methodology Specification & Performance Factsheet

SFQI40

As of October 26, 2026

Base: 100.00 · USD

1. Executive Summary & Investment Objective

The Debt-Weighting Moral Hazard

Traditional global sovereign bond benchmarks (e.g., Bloomberg Global Aggregate Treasury, FTSE World Government Bond Index) weight constituents by nominal gross debt outstanding. Consequently, governments with runaway fiscal deficits and ballooning borrowing receive the highest capital allocations (US ~37.0%, Japan ~11.0%), exposing passive portfolios to acute adverse selection and structural currency drag.

The Solvency-Disciplined Solution

The Sovereign Fiscal Quality Index (SFQI-40) breaks this structural flaw. Covering 40 sovereign debt issuers across Developed (25) and Emerging (15) markets, the index reallocates capital strictly based on fiscal balance-sheet quality, interest affordability, and liquid refinancing reserves, enforcing a strict 15.0% maximum concentration cap and a 0.25% floor.

2. Quantitative Construction & Scoring Model

Factor NameWeightExact Mathematical FormulationEconomic Rationale
Debt-Service Burden (DSB)40.0%DSB_i = Interest Payments / Fiscal RevenueMeasures fiscal revenue absorbed by debt interest service (Lower is better).
Primary Fiscal Discipline (PFD)30.0%PFD_i = Primary Budget Balance / Nominal GDPRewards structural primary surpluses and penalizes deficits (Higher is better).
Refinancing & Vulnerability (RVR)30.0%Dev: Maturing ≤12M / Cash | EM: Ext Debt / FX ReservesCaptures immediate rollover risk and external currency mismatch (Lower is better).
Standardization & Fiscal Quality Score (FQS)

Z_clipped = clip((x - μ) / σ, -3.0, +3.0)
Composite_Z = -0.40*Z_dsb + 0.30*Z_pfd - 0.30*Z_rvr
FQS_i = clamp(50.0 + 16.67 * Composite_Z, 0, 100)

Bounded Simplex Allocation Engine

M_i = exp(0.50 * Composite_Z_i)
W_raw,i = W_gdp,i * M_i
Enforce: 0.250% ≤ W_i ≤ 15.000%, ΣW_i = 100.000%

3. Universe, Governance & Benchmark Specifications

Universe Size40 Sovereigns (25 Dev, 15 EM)
Rebalance CadenceMonthly / Quarterly
Comparison BenchmarkDebt-Weighted 40 Benchmark
Calculation ModelDual FX (Hedged & Spot)

4. Active Allocation & Constituent Profiles

Comparison between SFQI-40 Solvency Weights vs. Traditional Debt Market-Cap Benchmark:

Country / SovereignBucketFQS ScoreGross Debt ($Bn)Benchmark WgtSFQI WgtActive Δ10Y Yield
Germany (DE)developed53.1$2,920B3.06%7.59%+4.54%2.31%
Saudi Arabia (SA)emerging66.2$305B0.32%2.74%+2.42%4.86%
South Korea (KR)developed54.9$1,010B1.06%3.26%+2.21%3.12%
Australia (AU)developed54.6$990B1.04%3.10%+2.06%4.22%
Mexico (MX)emerging50.3$960B1.01%2.77%+1.76%9.78%
United Kingdom (GB)developed34.5$3,520B3.69%3.31%-0.38%4.16%
China (CN)emerging50.2$15,200B15.92%15.00%-0.92%2.14%
Italy (IT)developed36.0$3,210B3.36%2.31%-1.05%3.56%
Japan (JP)developed24.4$10,520B11.02%2.94%-8.07%0.96%
United States (US)developed16.5$35,300B36.97%15.00%-21.97%4.24%

5. Historical Performance & Risk Metrics

Regime StrategyInception (2016)Latest (2026)10Y ReturnBenchmarkAlpha SpreadMax Drawdown
SFQI-40 (USD Hedged)100.00135.80+35.80%+16.20%+1,960 bps-11.21% (vs -16.81%)
SFQI-40 (Unhedged USD Spot)100.00129.40+29.40%+7.15%+2,225 bps-14.66% (vs -24.81%)

6. Key Index Facts & Technical Identifiers

Calculation AgentIndexLovers Ltd.
Base Inception2016-01-04 (100.0)
Weighting TypeFundamental Solvency Multiplier
Data DisclosuresIMF WEO, WB QEDS, Central Banks

IMPORTANT INSTITUTIONAL NOTICE: IndexLovers quantitative indices, factsheets, and methodology papers are prepared strictly for institutional informational, academic, and quantitative research purposes. IndexLovers Ltd is an index calculation agent and financial data provider; it is not a registered investment adviser, broker-dealer, or fiduciary under applicable federal or international securities law.

This document does not constitute an offer to buy or sell, or a solicitation of an offer to buy or sell, any security, instrument, or financial product. Simulated historical performance backtests reflect theoreticalMark-to-Market models with inherent limitations. Past performance, whether actual or simulated, is no guarantee of future results.

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