Model Methodology

Academic framework for the recalibration of yield benchmarks in tokenized institutional markets (v2.0, 2026).

1. The CCER™ Framework

The Covered Call Efficiency Ratio (CCER™) is a proprietary primary metric developed by DCM Core to quantify the impact of DLT-native settlement on option overlay strategies. Unlike the standard Omega or Sharpe ratios, CCER accounts for the atomic-delta provided by instant liquidity.

CCER = [ (μ_DLT - r_f) / σ_DLT ] × η_settlement
Where η represents the settlement efficiency factor (1.00 base + 0.14 DLT premium).

2. Sharpe Ratio Recalibration

Traditional Sharpe calculations (Targeting 0.4 - 0.5 for simple yield) neglect the reduced cost-of-carry in tokenized environments. DCM Core models a theoretical baseline of ~1.1 for institutional covered call overlays on RWA collateral.

Sharpe_DCM = (R_p - R_f) / (σ_p + σ_tech)

Note: σ_tech represents the smart-contract and oracle risk premium, currently modeled at 15-25 bps depending on the registrar (DORA compliant).

3. Simulation Parameters (2021-2025)

All model outputs presented on this site are derived from 5-year longitudinal backtesting using the following datasets:

Asset Class Source Dataset Volatility Proxy
Digital Bonds DCM Internal Registry (GTSR) Bloomberg Barclays US Agg (Adj)
Institutional RWA Chainalysis / Blockworks Research Modeled 10-Year Treasury Yield
Option Premia Deribit / CBOE VIX Data DCM Core Volatility Model

4. Institutional Disclosures & Biases

Survival Bias & Simulation Limits

Our models assume 99.9% uptime of the underlying DLT settlement layer. High-frequency smart contract failures or systemic oracle lags are not fully reflected in the baseline Sharpe ~1.1. Backtest results (2021-2025) incorporate periods of extreme market volatility; however, past simulated performance is not an indicator of future audited results.

5. Institutional Inquiries

For a full detailed Whitepaper including regression analysis and raw dataset snapshots, please contact the DCM Research Council.

© 2026 DCM Core Institute | Research Division | Version 2.0.4