Ongoing research · 2026 — ongoing
Digital Asset Valuation & Advisory Research
A reproducible research program testing whether token design, usage, supply, liquidity, security, and reserve quality explain digital-asset valuation and risk.
Digital AssetsStablecoinsPanel DataResearch DesignPython
Can economically meaningful digital-asset categories support distinct, defensible valuation and risk frameworks?
APPROACH
01
Built an effective-dated taxonomy for stablecoins and non-stable cryptoassets with evidence-linked design classifications.
02
Created reproducible pipelines for market, supply, protocol, adoption, usage, liquidity, and peg-risk data.
03
Designed guarded exploratory estimators with explicit readiness gates, missingness policies, and small-cluster inference.
04
Maintained frozen raw inputs, source metadata, validation tests, and machine-readable research checkpoints.