Currency Credibility Index 2025

Overview
The Currency Credibility Index (CCI) is a composite index measuring the credibility, stability, and international standing of 190 currencies across four weighted pillars and 12 sub-indicators. Every variable is sourced from publicly available institutional datasets, normalized to a common 0–100 scale, and combined using fixed expert-judgment weights. The index measures structural, long-run currency credibility — not short-term market momentum.

Scope and coverage
The index covers 190 currencies. The inclusion criterion is a World Bank CPI series of at least 10 years of data. No country is excluded on political or governance grounds — Afghanistan, Syria, Iran, South Sudan, and Yemen are included where data exists. Countries excluded have zero usable CPI data (Cuba, North Korea, Eritrea, Turkmenistan) or are World Bank regional aggregates. For all 190 currencies, sub-indicators without available data are handled by median or floor imputation depending on whether absence is informative.

Pillar 1 — Monetary Stability (weight: 40%)
Inflation control is the most fundamental dimension of currency credibility. A currency that destroys purchasing power — steadily or episodically — fails its core function regardless of any other attribute.

1a. Average annual inflation 2004–2023 (sub-weight: 30 of 40)
The arithmetic mean of annual CPI inflation rates over the period 2004–2023:
Avg annual inflation = (r₂₀₀₄ + r₂₀₀₅ + … + r₂₀₂₃) / n
where n is the number of years with available data (minimum 10). A log transform — log(1 + rate) — is applied before normalization. Without this, hyperinflation countries (South Sudan: 61.8%/yr, Zimbabwe: 79.6%/yr) would compress the scale so severely that 5.5%/yr would appear near-perfect. With the log transform, a 0.5%/yr country (Japan, Switzerland) scores near 100 and a 5.5%/yr country (Georgia) correctly scores around 52. Deflation is treated as 0 and also scores at the maximum. Source: World Bank WDI, indicator FP.CPI.TOTL.ZG.

1b. Inflation volatility (sub-weight: 10 of 40)
The standard deviation of annual CPI rates over 2004–2023. Lower volatility = higher score. Log-transformed before normalization for the same reason as the average: extreme outliers (countries cycling between 0% and 200%+) would otherwise compress mid-range differentiation. A currency with stable low inflation scores better than one with the same average but wide swings. Source: same World Bank series.

Pillar 2 — Credibility & Backing (weight: 30%)
The institutional and material foundations that give a currency long-run trust. Credibility is built not only through price stability but through hard assets, institutional quality, and demonstrated global confidence.

3a. Global reserve share (sub-weight: 10 of 30)
The percentage of global official foreign exchange reserves held in each currency. This is the revealed preference of the world's central banks — which currencies do they actually trust to store value. The USD holds ~57%, the EUR ~20%, with all others far behind. Log-transformed before normalization. Non-reserve currencies receive a floor score of zero — accurately reflecting that they are not used as global reserves. Source: IMF COFER, Q3 2024.

3b. Rule of Law (sub-weight: 10 of 30)
The World Bank WGI Rule of Law score, reflecting the degree to which agents trust and abide by the rules of society — property rights, contract enforcement, courts, and police. Ranges from −2.5 (weakest) to +2.5 (strongest). A currency issued by a state that cannot enforce contracts operates in an environment where monetary commitments are also unreliable. Source: World Bank WGI 2023.

3c. Gold share of reserves (sub-weight: 5 of 30)
Gold holdings as a percentage of total official reserves. Computed as: (total reserves including gold − total reserves excluding gold) / total reserves including gold × 100. Gold provides a non-sovereign, non-inflatable reserve asset — it cannot be printed, sanctioned, or defaulted on. European central banks hold 50–70% in gold; most emerging market central banks hold under 10%. Source: World Bank WDI indicators FI.RES.TOTL.CD and FI.RES.XGLD.CD, data year 2022.

3d. Currency age (sub-weight: 5 of 30)
The number of years the current currency has been in continuous use, measured to 2024 from the year of establishment or last significant redenomination. Age is a proxy for demonstrated resilience across economic cycles, political transitions, and crises. The pound sterling (est. 1694) and US dollar (est. 1792) score highest. Venezuela's bolívar (redenominated 2018) and Zimbabwe's ZiG (2024) score lowest. Log-transformed before normalization. Source: historical records, compiled manually.

Pillar 3 — FX Performance & Usability (weight: 15%)
How the currency has actually performed in exchange rate terms, and how freely it can be used internationally.

2a. REER 5-year trend (sub-weight: 6 of 15)
The Real Effective Exchange Rate (REER) measures a currency's value against a trade-weighted basket of partner currencies, adjusted for inflation differentials. A rising REER means the currency has gained real international purchasing power. Computed as:
REER trend = (avg_REER_2024 − avg_REER_2019) / avg_REER_2019 × 100
where averages are taken over all monthly observations for the respective year. Source: BIS broad basket REER, monthly data. Covers 64 currencies; the remainder are imputed using a weighted proxy of the 1-year nominal FX trend.

2b. 1-year FX performance vs USD (sub-weight: 3 of 15)
Whether the currency strengthened or weakened against the US dollar between 2023 and 2024:
FX performance = (rate₂₀₂₃ − rate₂₀₂₄) / rate₂₀₂₃ × 100
where rate = annual average local currency units per USD. A falling rate (fewer units per dollar) means appreciation, producing a positive score. Source: World Bank WDI, indicator PA.NUS.FCRF.

2c. Capital account openness (sub-weight: 3 of 15)
The capital account records cross-border flows of financial assets — investment, loans, and capital transfers. An open capital account means money can move freely in and out without government restriction. A closed one means capital controls limit these flows. Measured by the Chinn-Ito KAOPEN index, ranging from −1.94 (fully closed) to +2.28 (fully open). A currency that cannot be freely moved internationally cannot function as a global store of value. Source: Chinn and Ito (2006, updated 2023), Portland State University.

2d. Daily FX market turnover (sub-weight: 3 of 15)
Average daily volume of global FX transactions involving the currency, in billions of USD. The most direct measure of how liquid and usable a currency is internationally. Log-transformed before normalization. Currencies not appearing in the BIS survey receive a floor score of zero — absence from BIS data is itself a finding, not a data gap to be neutralised. Source: BIS Triennial Central Bank Survey, April 2022.

Pillar 4 — International Use (weight: 15%)
The extent to which the currency is used beyond its own borders in global trade. Weighted at 15% because explicit data exists for only ~16 currencies; the remainder receive floor scores that correctly reflect their absence from global invoicing data.

4a. Export invoicing share (sub-weight: 7.5 of 15)
The share of global merchandise exports invoiced in each currency. The USD dominates at ~54%, the EUR at ~30%; most currencies invoice a negligible fraction of global trade. Log-transformed before normalization. Source: Boz, Casas, Georgiadis, Gopinath, Le Mezo, Mehl, and Nguyen (2022), IMF Working Paper WP/22/196.

4b. Import invoicing share (sub-weight: 7.5 of 15)
The share of global merchandise imports invoiced in each currency. Captures the demand side — whether trading partners accept payment in this currency. Same source and floor-scoring logic as export invoicing.

Composite formula
CCI = 0.40 × M + 0.30 × C + 0.15 × F + 0.15 × I
where each pillar score is itself a weighted average of its sub-indicator scores (all on 0–100 scale).

Normalization procedure
Each sub-indicator is processed through four steps:
(1) Winsorization: values below the 2nd and above the 98th percentile are clipped, preventing extreme outliers from compressing the scale for all other currencies.
(2) Log transformation: applied to average annual inflation, inflation volatility, FX turnover, reserve share, invoicing shares, and currency age — all variables with strongly right-skewed distributions.
(3) Linear normalization to 0–100.
(4) Direction reversal: for lower-is-better variables (inflation average and volatility), the scale is reversed so lower raw values receive higher scores.

Missing data
Sub-indicators unavailable for a given currency are imputed at the cross-country median — a neutral, non-penalising approach. Exception: FX market turnover and invoicing shares use a floor score of zero when a currency does not appear in source data, because absence from BIS turnover data or global invoicing data is informative, not merely a gap. All imputations are flagged with * in the detail view.

Weighting rationale
Monetary Stability carries the highest weight (40%) because inflation is the most direct, measurable way a currency fails its users. Credibility & Backing receives 30% — institutional foundations are the structural determinants of long-run trust. FX Performance and International Use each receive 15%: both matter, but are partly consequences of the first two pillars. Within Monetary Stability, average annual inflation (30 of 40) outweighs volatility (10 of 40) because sustained erosion of purchasing power is more damaging than instability alone.

Exchange regime classification
Each currency is classified according to the IMF de facto exchange rate regime (AREAER 2024). Seven categories, ordered from most to least flexible: Free Float, Managed Float, Soft Peg, Currency Union, Hard Peg, Currency Board, Dollarized. For dollarized economies (Ecuador, El Salvador, Panama, Timor-Leste, Kosovo, Montenegro and others using a foreign currency with no independent monetary authority), the index inherits the parent currency's reserve share, FX market turnover, and invoicing scores — because those variables describe the currency being used, not the country using it. If you hold USD in Ecuador, the reserve credibility of the USD applies to your holdings. Rule of law, gold share of reserves, and inflation data remain country-specific. What dollarized countries lack is monetary sovereignty: they cannot adjust the exchange rate, issue liquidity, or set interest rates independently. Source: IMF AREAER 2024.

Limitations
Rankings in the 30–140 range are sensitive to weighting assumptions; the top 10 and bottom 10 are robust across reasonable alternatives. The index reflects long-run structural credibility, not current market conditions. Data vintage: inflation and FX through 2024; reserves Q3 2024; invoicing from Boz et al. 2022. All data is stored locally — no live API calls at runtime.