Updated Monthly
Live Measurement Model

Global Digital Asset
Risk Index

A real-time framework measuring systemic risk across the global digital asset ecosystem. Providing quantitative assessments for institutional risk modeling.

47
Elevated Risk
0-20 LOW
20-40 MODERATE
40-60 ELEVATED
60-80 HIGH
80-100 SYSTEMIC

The 5 Analytical Pillars

Index composition and current stress levels

Market Volatility
52/100
Measures aggregated realized and implied volatility across tier-1 crypto assets (BTC, ETH) using derivatives data.
Current Driver: Options Expiry Roll-off
Liquidity Stress
65/100
Analyzes order book depth, bid-ask spreads, and liquidations across major centralized and decentralized exchanges.
Current Driver: CEX Liquidity Contraction
Regulatory Pressure
38/100
Scores the velocity and impact of global enforcement actions, new regulatory frameworks, and central bank guidance.
Primary Scrutiny: US SEC Enforcement
Systemic Events
15/100
Real-time monitoring for catastrophic failures (e.g., major exchange hacks, stablecoin de-pegs, significant protocol breaches).
Status: Stable / No Black Swans
Institutional Flows
58/100
Tracks net flows into ETFs, ETPs, and institutional custody movements. Negative flows increase the risk premium.
Direction: Net Moderate Outflows

Primary Risk Drivers

Key factors pushing the index to Elevated this month:

  • Liquidity Contraction Post-Halving
    Order book depth on centralized exchanges has thinned by 15%, increasing sensitivity to large market sell orders.
  • Rising Regulatory Scrutiny in the US
    New Wells notices issued to major DeFi protocols signaling an expansion of the SEC's enforcement scope.
  • Institutional ETF Flow Stabilization
    Persistent, though tempered, inflows into Spot Bitcoin ETFs act as a structural anchor, preventing systemic sell-offs.

Research Notes

Research Note #01

Digital Asset Liquidity Conditions in 2026

An analysis of market depth fragmentation and the role of OTC desks in mitigating slippage for systematic hedge funds.

 Research Note #02

Systemic Risk Contagion Models

Mapping the vector equations for evaluating the counterparty risk of major stablecoin issuers against traditional banking rails.

Mathematical Methodology

DCM Core aggregates over 30 distinct data feeds across derivatives pricing, blockchain mempools, and regulatory news sentiment algorithms. The weighted model employs an EWMA (Exponentially Weighted Moving Average) to prevent lagging.

View the full quantitative methodology framework

Related Research & Working Papers

WP-2026-05

Systemic Risk in Crypto Markets

Defining vectors of institutional contagion and automated liquidation cascades.
ANNUAL REPORT

Digital Asset Governance 2026

The definitive strategic analysis on global digital asset infrastructure.
TECHNICAL WHITEPAPER

GDARI Model Methodology

Mathematical modeling of the EWMA volatility and liquidity stress indicators.