MACRO / MONETARY SYSTEMS
An independent attempt to understand Singapore's exchange-rate-based monetary framework.
01 / CENTRAL RESEARCH QUESTION
“How can an independent researcher construct a transparent trade-weighted proxy to study Singapore's exchange-rate-centered monetary framework when official basket weights and policy band parameters are undisclosed?”
02 — 03 / CONTEXT & APPROACH
02 / RESEARCH CONTEXT
Unlike central banks that conduct monetary policy primarily by setting a domestic short-term interest rate, the Monetary Authority of Singapore (MAS) manages the Singapore dollar against an undisclosed trade-weighted basket of currencies—the Singapore Dollar Nominal Effective Exchange Rate (S$NEER)—within a policy band whose exact slope, center, and width are not publicly disclosed.
Because Singapore is a small, open economy where import prices heavily influence domestic inflation, the exchange rate serves as the primary intermediate target of monetary policy. Studying this framework in practice requires building an observable shadow proxy while remaining rigorous about what is estimated versus what is official.
03 / ANALYTICAL APPROACH
The SGD-NEER Shadow Model constructs a transparent, trade-weighted geometric index of observable SGD bilateral exchange rates across Singapore's major trading partners.
Using historical overlap windows, the script estimates a baseline policy center and plots both a fixed reference band and a volatility-adjusted stress band to observe where the proxy sits relative to its recent trajectory.
04 / METHODOLOGY & STRUCTURAL LAYERS
Step 01 · Observable Bilateral FX Basket
OBSERVED SIGNALS & INPUTS
Observable FX pairs including USD, CNY, MYR, EUR, JPY, TWD, IDR, and regional peers via public market feeds
ANALYTICAL ROLE
Forms the raw bilateral exchange-rate inputs across Singapore's primary trade relationships.
Step 02 · Trade-Weighted Geometric Index
OBSERVED SIGNALS & INPUTS
Normalized proxy trade weights applied to bilateral log returns
ANALYTICAL ROLE
Produces a continuous Shadow S$NEER index where a higher level indicates broad Singapore dollar appreciation.
Step 03 · Policy Center & Band Estimation
OBSERVED SIGNALS & INPUTS
Rolling trend estimation for the proxy center, +/-2% fixed reference band, and 21-day annualized volatility stress band
ANALYTICAL ROLE
Visualizes whether the SGD proxy is trading near the upper bound, center, or lower bound of its estimated corridor.
05 / SYSTEM ARCHITECTURE
A self-contained Python analytical model using yfinance and Matplotlib that constructs a geometric trade-weighted SGD index, computes rolling volatility and band distance metrics, and generates visual policy-band diagnostic charts.
DATA INPUTS
EXECUTION SEQUENCE
06 / SYSTEM OUTPUT STRUCTURE
Rather than presenting fabricated historical backtests, the specimen below documents the actual diagnostic structure generated by the system.
07 / LIMITATIONS & EPISTEMIC BOUNDARIES
Every independent research tool operates under data constraints and simplifying assumptions. Documenting those boundaries explicitly is part of the work.
The Monetary Authority of Singapore (MAS) does not publicly disclose the official currency basket composition, exact bilateral trade weights, policy band center, slope, or band width.
Proxy weights in this model are independent approximations for educational and analytical exploration; they are not official MAS weights.
Daily Yahoo Finance FX closing series can exhibit timestamp misalignment across Asian, European, and North American trading sessions.
08 / RELATED RESEARCH & CONTINUATION