Based on current macro regime conditions and china real effective exchange rate's historical behaviour in similar regimes, the model projects 92.02 by 2026-12-31 ( +0.5% from 91.54 today). The 68% confidence range is 88.25 to 95.79; the wider 95% range is 84.63 to 99.4. Methodology below the headline.
China Real Effective Exchange Rate Forecast 2026
Quantitative analysis from 298 observations of China Real Effective Exchange Rate history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 13 | 1.69% | 3.92% | 0.43 | 75.0% | 1.69% |
| 3Y | 36 | -1.39% | 3.45% | -0.40 | 60.0% | -3.99% |
| 5Y | 61 | -2.38% | 3.90% | -0.61 | 55.0% | -11.32% |
| 10Y | 121 | -1.20% | 3.84% | -0.31 | 54.2% | -11.35% |
| All | 298 | 0.63% | 4.51% | 0.14 | 55.9% | 16.75% |
Annualized total return = (1 + total)^(1/years) - 1. Ret/Vol is the annualized return divided by annualized volatility (Sharpe-equivalent without risk-free subtraction). Hit % = pct of single periods that were positive.
Where We Are Now[03]
Forward Returns by Macro Regime[04]
How China Real Effective Exchange Rate has performed historically conditional on the prevailing macro regime. The current bucket is highlighted; +1Y averages drive the headline signal above.
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Low (<15) | 65 | -0.07% | 0.48% | 1.30% | 0.20% | 52.3% |
| Normal (15-25) | 90 | 0.08% | 0.63% | 1.21% | 1.00% | 54.2% |
| Elevated (25-40) | 32 | -0.17% | -0.05% | -1.92% | -0.40% | 43.8% |
| Extreme (>40) | 3 | n/a | n/a | n/a | n/a | n/a |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 27 | -0.50% | -1.12% | -1.77% | -1.84% | 29.6% |
| Flat (0-100bps) | 62 | -0.04% | 0.60% | 0.83% | 1.06% | 58.9% |
| Steep (>100bps) | 100 | 0.09% | 0.69% | 1.14% | 1.39% | 53.0% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 24 | 0.04% | 0.81% | -2.76% | -2.51% | 21.1% |
| Normal (350-500bps) | 45 | -0.23% | -0.66% | -1.12% | -0.64% | 41.9% |
| Stressed (>500bps) | 18 | -0.55% | -0.95% | -2.64% | -2.33% | 27.8% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 34 | 0.74% | 2.53% | 6.41% | 6.04% | 91.2% |
| Neutral (middle) | 38 | 0.23% | 0.99% | 1.56% | 1.81% | 61.8% |
| Strong (top tercile) | 77 | -0.31% | -0.32% | -1.26% | -1.01% | 36.0% |
Forward returns are forward-looking from each historical observation in the bucket; +252d corresponds to one trading year. Buckets with fewer than 5 forward-return observations are reported as n/a. These are conditional historical averages, not forecasts.
Lead-Lag Relationships[05]
For each universally-recognised leading indicator, the lag at which the daily-return correlation peaks. Positive lag means the anchor leads China Real Effective Exchange Rate; negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| Trade-Weighted Dollar | FX driver | -1d | 0.431 | 0.185 | coincident |
| Initial Jobless Claims | Labor leader | +25d | -0.316 | -0.018 | leads target by 25d |
| HY OAS Spread | Credit risk leader | +60d | -0.236 | -0.004 | leads target by 60d |
| Copper | Global growth proxy | 0d | -0.217 | -0.217 | coincident |
| U-Mich Consumer Sentiment | Survey leader | -47d | 0.201 | 0.027 | lags target by 47d |
| NFCI | Financial conditions | +10d | 0.195 | 0.087 | leads target by 10d |
| VIX | Volatility leader | -25d | 0.174 | 0.089 | lags target by 25d |
| Baa-10Y Spread | Credit risk (slow) | -2d | 0.159 | 0.093 | coincident |
| 10Y-2Y Yield Spread | Recession leader | -50d | -0.137 | -0.028 | weak |
| 10Y Treasury Yield | Discount-rate driver | +5d | -0.134 | 0.011 | weak |
Pearson correlation of daily returns over up to 25 years of overlapping history, searched across a ±60-day lag grid. Indicators classified as “weak” don't have meaningful predictive power at daily resolution; many of these (yield curve, NFCI, sentiment) lead at monthly/quarterly horizons instead.
Historical Analogs[06]
Periods where China Real Effective Exchange Rate sat at a similar percentile rank to today, with what happened over the next 30 / 90 / 252 trading days. Analogs are clustered to avoid double-counting nearby dates.
| DATE | VALUE | +30D | +90D | +1Y |
|---|---|---|---|---|
| Feb 1, 2025 | 91.5700 | -1.69% | -5.82% | -1.27% |
| Nov 1, 2024 | 91.5400 | 0.02% | -1.66% | -2.98% |
| Aug 1, 2024 | 91.3200 | 0.11% | 0.26% | -4.89% |
| May 1, 2024 | 91.0900 | 0.11% | 0.36% | -4.73% |
| Feb 1, 2024 | 93.2900 | -1.68% | -2.25% | -1.84% |
Worst Historical Drawdown[07]
Largest Single-Period Moves[09]
- Oct 1, 20084.35%
- Sep 1, 20113.20%
- Feb 1, 20083.07%
- Sep 1, 20082.76%
- Feb 1, 20092.68%
- May 1, 2022-3.73%
- May 1, 2003-3.46%
- May 1, 2009-3.22%
- Apr 1, 2025-2.97%
- Mar 1, 2014-2.97%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | 0.81% | 76.0% | 25 |
| February | 1.05% | 76.0% | 25 |
| March | -0.92% | 24.0% | 25 |
| April | -0.73% | 25.0% | 24 |
| May | -0.76% | 33.3% | 24 |
| June | -0.44% | 50.0% | 24 |
| July | 0.05% | 60.0% | 25 |
| August | 0.04% | 56.0% | 25 |
| September | 0.56% | 72.0% | 25 |
| October | 0.15% | 60.0% | 25 |
| November | 0.49% | 64.0% | 25 |
| December | 0.33% | 72.0% | 25 |
N = 298 OBS · GENERATED 2026-05-17 12:30Z
Forecast Approach
scenario weighted: We aggregate probability-weighted outcomes across active tracked scenarios, each with historical base rates and current heat scores. The projection above is the sample-weighted central estimate across current macro regime anchors; the scenario list below adds qualitative context.
Consensus source: Forward rates
Key Drivers & Risks
- •Rate differentials
- •Trade balances
- •Capital flows
- •Risk appetite
- •Central bank policy
Historical Volatility
Moderate: 10-15% annual range for DXY
Frequently Asked Questions
What factors could push China Real Effective Exchange Rate higher?▾
The primary drivers that tend to lift China Real Effective Exchange Rate depend on the current macro regime. The dollar is the single largest macro variable for cross-asset returns. A rising dollar tightens global financial conditions, pressures emerging-market funding, and compresses commodity prices denominated in USD. Real effective exchange rates strip out inflation differentials, revealing whether a currency is genuinely appreciating or just keeping pace with domestic price levels. Convex tracks these drivers live across the FX & Dollar category and flags when multiple forces align in the same direction. See the "Key Drivers & Risks" section on this page for the current list, and check the regime dashboard for how the macro backdrop is currently tilted.
What factors could push China Real Effective Exchange Rate lower?▾
The same transmission channels that drive China Real Effective Exchange Rate higher operate in reverse when conditions flip. The risk drivers listed above map directly to scenarios that, if triggered, would pull this metric in the opposite direction. Convex aggregates these into a scenario-weighted probability distribution rather than a point forecast, so the magnitude depends on which scenarios activate.
Where does consensus see China Real Effective Exchange Rate heading?▾
Rather than publish a point target that goes stale the day after release, Convex assembles consensus from the macro regime classification, active scenario probabilities, and historical base rates. Point forecasts from banks and strategists are worth reading for context, but they typically cluster around the consensus and miss the tail events that actually move markets. The scenario-weighted approach here captures that tail risk explicitly.
What is the historical range for China Real Effective Exchange Rate?▾
Historical ranges for China Real Effective Exchange Rate vary dramatically by regime. A level that is extreme in Goldilocks can be routine in Stagflation, and vice versa. The Historical Volatility section on this page describes the typical range and regime-specific behavior. For the full multi-decade history, visit the China Real Effective Exchange Rate chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the China Real Effective Exchange Rate forecast updated?▾
This forecast page recalculates whenever the underlying data or regime classification changes, typically within hours of new data releases. The scenario probabilities refresh daily as the macro state is regenerated. Specific drivers listed on this page reflect the current state of the Convex regime engine, not static historical assumptions.
Is this forecast actionable for trading?▾
Convex forecasts are informational and educational. They describe probability distributions and regime-conditional paths rather than specific entry and exit levels. Traders and portfolio managers use them alongside other inputs including position sizing rules, risk management, and their own conviction calibration. They are not investment advice.
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Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.