Core Transmission Risk Channels
Published 6/20/2026, 10:38:19 AM
The Bank for International Settlements (BIS) and associated central banks have developed quantitative models and empirical frameworks that demonstrate stablecoins can indeed predict and measure risks to monetary policy transmission. While current impacts are characterized as "very weak" at present scales, these models identify specific nonlinear risks that amplify as adoption grows.
Core Transmission Risk Channels
BIS research identifies four primary channels where stablecoin mechanics interfere with traditional monetary policy:
| Channel | Mechanism | Impact on Transmission |
|---|---|---|
| Interest Rate | Stablecoin flows are highly sensitive to policy rate changes (opportunity cost). | Predictive: Tightening cycles lead to outflows as users seek yield in Money Market Funds (MMFs) [Source: https://www.bis.org/publ/work1219.pdf]. |
| Safe Asset | Issuers' demand for T-Bills as reserves suppresses short-term yields. | Weakens transmission by decoupling market yields from the policy rate [Source: https://www.bis.org/publ/work1270.pdf]. |
| Bank Deposit | Funds shift from retail deposits to stablecoins, increasing bank funding volatility. | Strengthens sensitivity to rate changes but increases systemic fragility. |
| Exchange Rate | USD-stablecoin adoption in non-US jurisdictions ("digital dollarization"). | Erodes monetary sovereignty and weakens local policy effectiveness [Source: https://www.bis.org/publ/bppdf/bispap170.pdf]. |
Quantitative Risk Prediction Metrics
Recent BIS and Banque de France working papers provide specific coefficients to forecast transmission disruptions:
- Yield Suppression: Research indicates that stablecoin inflows impact Treasury yields. One study found that a 2-standard deviation inflow lowers 3-month Treasury yields by 2–2.5 basis points within 10 days [Source: https://www.bis.org/publ/work1270.pdf]. Other estimates suggest a $3.5 billion inflow can lower yields by 2.5–5 basis points [Source: https://www.bis.org/publ/bisbull108.pdf].
- Scarcity Amplification: During periods of "bill scarcity" (e.g., debt ceiling standoffs), the impact on yields can nearly double, reaching 5–8 basis points [Source: https://www.bis.org/publ/work1270.pdf].
- SOFR Disruption: Empirical analysis of Tether (USDT) shows a disruption of approximately -0.7 basis points in the Secured Overnight Financing Rate (SOFR) for every $10 billion in issuance [Source: https://www.banque-france.fr/en/publications-and-statistics/working-papers/stablecoins-and-monetary-policy-transmission].
- Divergent Liquidity: BIS Working Paper No. 1219 (2024) found that while Prime-MMF assets rise after contractionary policy tightening, stablecoin market capitalization declines, creating divergent liquidity conditions between crypto and traditional markets [Source: https://www.bis.org/publ/work1219.pdf].
Predictive Model Frameworks
The BIS utilizes three primary modeling approaches to forecast these risks:
- Local Projections Method: Measures the interaction between monetary policy shocks and stablecoin issuance to predict disruptions in repo and money markets [Source: https://www.banque-france.fr/en/publications-and-statistics/working-papers/stablecoins-and-monetary-policy-transmission].
- New Keynesian Two-Country Models: Simulates "Global Stablecoin" (GSC) adoption, predicting that if GSC supply is highly responsive to interest rates, it can significantly amplify the macroeconomic effects of monetary shocks.
- Scale Threshold Analysis: Models suggest transmission risks are nonlinear. While current effects are small, they are projected to become systemic if market caps reach significant thresholds (industry projections suggest the market could reach $4 trillion by 2030) [Source: https://finance.yahoo.com/news/stablecoin-market-could-reach-4-174122850.html].
Risks to Monetary Sovereignty
A critical predictive finding in BIS Papers No. 170 (2026) is the risk of "digital dollarization." Because approximately 99% of stablecoins are USD-denominated, their adoption in Emerging Market and Developing Economies (EMDEs) allows residents to bypass local currency restrictions. This predicts a future where domestic interest rate hikes in these regions become less effective at curbing inflation as the local economy shifts toward USD-stablecoin transactions [Source: https://www.bis.org/publ/bppdf/bispap170.pdf].
In conclusion, BIS models can predict transmission risks by quantifying how stablecoin reserve management suppresses safe asset yields and how their interest-rate sensitivity creates divergent liquidity pools that bypass traditional banking channels.