Research

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Methodology
12 min read · May 2026

Seven indexes from 100 candidates: methodology and results

Full description of the analysis framework: universe, three filters (outperformance, Sharpe above 0.70, structural defensibility), and how the seven official indexes survived (six on performance criteria, plus CI-WORLD500 as broad benchmark).

Data
6 min read · Apr 2026

Why we use Damodaran data: the longest credible reference

On the choice of NYU Stern's annual return series and why it remains the most credible long-horizon reference series for US equity returns.

Findings
8 min read · Mar 2026

Volatility as asset, not risk

Why high-volatility positional indexes can outperform low-volatility alternatives for disciplined long-horizon investors. The mathematics of dollar-cost averaging into volatile assets.

Findings
9 min read · Feb 2026

The concentration premium: WORLD3 vs WORLD100

Concentration consistently adds return — but with measurable volatility cost. The CI-WORLD3 to CI-WORLD100 curve is monotonic over 15 years.

Findings
7 min read · Jan 2026

The decile experiment: CI-DECILE1's 0.94 Sharpe

Equal-weighted exposure across ten deciles produces the highest risk-adjusted return in our catalog. Why structural distribution beats single-tier concentration on a Sharpe basis.

Source: Damodaran NYU Stern (S&P 500 historical returns, 1928–2025).

Performance disclaimer. Performance data shown is illustrative. Historical performance, whether simulated, hypothetical, or actual, does not guarantee future results. Index values are calculated using publicly available market data and may differ from actual investment outcomes. See full disclaimers at /legal.