Central Bank Policy Path & Taylor Rule Terminal
Deterministic monetary reaction function modeling, FOMC 30-day Fed Funds futures meeting probability decomposition, G10 policy stance comparison, and dynamic Taylor Rule policy gap sensitivity.
Decomposing 30-Day Fed Funds Futures ($ZQ$) and Overnight Index Swaps (SOFR OIS) to extract market-implied decision probabilities across the next 8 FOMC meetings.
| FOMC Meeting | Implied Rate | Total Easing | Prob. 50 bps Cut | Prob. 25 bps Cut | Prob. Hold | Prob. 25 bps Hike | Distribution |
|---|
Cross-border comparison of official monetary benchmarks against estimated Taylor Rule equilibrium targets across major developed central banks.
| Central Bank | Policy Benchmark | Current Rate | Core Inflation | Target | Output Gap | Est. $r^*$ | Taylor Target | Policy Gap | Stance Bias |
|---|
Simulate real-world supply and demand shocks to observe immediate changes in the Taylor Rule recommendation and the central bank policy stance.
Institutional Methodology & Mathematical Specification
The reaction functions modeled in this terminal follow peer-reviewed econometric literature from John B. Taylor (1993, 1999), Clarida, Galí, and Gertler (2000), and the Federal Reserve Bank of New York.
Equally weights inflation deviations and real output fluctuations. With $r^* = 2\%$ and $\pi^* = 2\%$, this simplifies to $4.0 + 1.5(\pi_t - 2) + 0.5(y_t - y^*)$.
Assigns double the weight to output gap/unemployment, reflecting the statutory dual mandate of the Federal Reserve Act.
Captures central bank rate smoothing ($\rho \in [0.70, 0.85]$) to avoid destabilizing commercial banking balance sheets.