New Bitcoin pricing model links value to USD M2 supply
PhD researchers Daniels and Hileman have developed a pricing model linking Bitcoin's value to the USD money supply M2, showing a 90% statistical fit. Salomon Brothers has adopted a modified version of this model to predict future prices, factoring in US government spending. The model suggests Bitcoin is a superior hedge against monetary dilution compared to Gold.

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A new pricing model developed by PhD researchers Daniels and Hileman establishes a statistically significant link between Bitcoin's value and the USD money supply M2. The model, which demonstrates nearly a 90% fit based on a backtest of nearly ten years of data, suggests Bitcoin acts as a store of value that appreciates as the money supply increases. This economic foundation could provide the market with a consensus on fair value, potentially reducing volatility and expanding Bitcoin's use as a hedge against monetary dilution.
Salomon Brothers has incorporated a modified version of the Daniels & Hileman model into its economic research. The firm's adaptation uses a Monte Carlo simulation to predict prices one year out, factoring in assumptions about future monetary growth. Specifically, the model accounts for an increase in money supply to cover U.S. government spending on military and interest on U.S. debt in 2027, which is expected to drive continued and steady appreciation for Bitcoin.
The research identifies an inverse relationship between Bitcoin and USD monetary dilution. As the Federal Reserve prints money not absorbed by economic growth, the dollar's purchasing power decreases, while Bitcoin, with its fixed supply of 21 million coins, gains value. The model posits that Bitcoin is a better hedge against monetary dilution than Gold, particularly when adjusted for volatility, because Bitcoin's supply cap is enforced by code rather than geology.
Widespread adoption of this valuation model could lead to lower volatility and greater price consensus. Improved predictability may attract more buyers and lenders willing to accept Bitcoin as collateral. The model is currently undergoing private peer review by experts in economics, finance, and fintech, with a public release planned upon completion.
| Model Feature | Description |
|---|---|
| Primary Driver | USD Money Supply (M2) |
| Statistical Fit | Nearly 90% |
| Backtest Period | Nearly 10 years |
| Prediction Method | Monte Carlo simulation |
| Key Factor | U.S. government spending (2027) |
How might the Federal Reserve's potential pivot to tighter monetary policy in the near term impact the model's accuracy if money supply growth slows?
If the model gains widespread adoption, could the increased price consensus inadvertently reduce Bitcoin's trading volume and liquidity?
What risks does the model face regarding the 2027 fiscal projections if U.S. government spending priorities shift before then?

































