CONVEX
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▍ STATISTICAL PROJECTION · YEAR-END 2026

Based on current macro regime conditions and jpy/usd's historical behaviour in similar regimes, the model projects 158.18 by 2026-12-31 ( +1.0% from 156.64 today). The 68% confidence range is 145.72 to 170.63; the wider 95% range is 133.77 to 182.58. Methodology below the headline.

Central Estimate
158.18
+1.0% vs current 156.64
68% Range (±1σ)
145.72 to 170.63
95% Range (±1.96σ)
133.77 to 182.58
Blended from 4 regime anchors· sample-weighted
VIX · Normal (15-25)
+2.0%n=3,018 · w=43%
10Y-2Y Yield Curve · Flat (0-100bps)
+1.5%n=2,114 · w=30%
HY OAS Spread · Tight (<350bps)
+6.4%n=913 · w=13%
Trade-Weighted Dollar · Weak (bottom tercile)
-4.5%n=997 · w=14%
METHOD: CENTRAL = SAMPLE-WEIGHTED MEAN OF PER-ANCHOR CURRENT-REGIME 1Y AVERAGES, SCALED TO 164-DAY HORIZON. BAND = ±σ√T USING 9.9% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 158.18 BY 2026-12-31 (HIGHER FROM 156.64 ON 2026-05-08). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

JPY/USD Forecast 2026

Quantitative analysis from 6,259 observations of JPY/USD history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
DEXJPUS · LAST
156.64
AS OF 2026-05-08
Percentile · 25Y History
98.1th
▍ HEADLINE SIGNAL · CONTRARIAN BEARISH
Hist. Avg +252d
-4.5%
vs +1.0% unconditional · -5.5%pp below
When Trade-Weighted Dollar sits in its Weak (bottom tercile) regime — as it does today (118.04) — JPY/USD has historically returned an average of -4.53% over the next 252 trading days, 5.5pp below the all-history average of +0.95%. Sample: 997 observations, 21.5% hit rate.
METHOD: PERCENTILE-RANK MATCHED, LOOK-AHEAD-BIAS-FREE·NOT A FORECAST·HISTORICAL CONDITIONAL AVERAGE

Regime Scan[01/04]

VIX
Normal (15-25)
+2.0%+1Y AVG
Δ +1.1%pp · n=3,018
10Y-2Y Yield Curve
Flat (0-100bps)
+1.5%+1Y AVG
Δ +0.6%pp · n=2,114
HY OAS Spread
Tight (<350bps)
+6.4%+1Y AVG
Δ +5.5%pp · n=913
Trade-Weighted Dollar
Weak (bottom tercile)
-4.5%+1Y AVG
Δ -5.5%pp · n=997

Δ = divergence from +1.0% unconditional all-history average

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y2517.69%9.01%0.8555.6%7.69%
3Y7515.05%9.80%0.5154.5%15.90%
5Y1,2517.59%10.20%0.7454.3%44.10%
10Y2,4983.75%9.19%0.4152.1%44.52%
All6,2590.95%9.85%0.1050.8%26.66%

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]

Percentile Rank
98.1th
75.72median 110.82161.73
Current value 156.6400 on a 6,259-observation history going back to Oct 28, 2011.
Volatility Regime
normal
8.75%REALIZED 30D ANN
Sits at the 49.0th percentile vs full history. Median 8.81%.

Forward Returns by Macro Regime[04]

How JPY/USD has performed historically conditional on the prevailing macro regime. The current bucket is highlighted; +1Y averages drive the headline signal above.

VIX
Volatility regime: Low (<15), Normal (15-25), Elevated (25-40), Extreme (>40)
CURRENT: 17.26 Normal (15-25)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Low (<15)2,0770.37%1.31%2.01%0.64%54.1%
Normal (15-25)3,0180.17%0.12%2.01%-0.34%48.0%
Elevated (25-40)938-0.13%0.09%-1.73%-0.85%47.7%
Extreme (>40)191-0.10%1.15%-2.93%-1.57%42.4%
10Y-2Y Yield Curve
Yield curve regime: Inverted (<0bps), Flat (0-100bps), Steep (>100bps)
CURRENT: 0.50 Flat (0-100bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Inverted (<0bps)7810.41%1.10%1.67%1.49%59.0%
Flat (0-100bps)2,1140.40%1.33%1.52%1.21%60.4%
Steep (>100bps)3,338-0.01%-0.04%1.06%-1.79%42.0%
HY OAS Spread
Credit regime: Tight (<350bps), Normal (350-500bps), Stressed (>500bps)
CURRENT: 2.76 Tight (<350bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Tight (<350bps)9130.55%1.76%6.41%1.78%63.6%
Normal (350-500bps)1,3610.73%1.66%1.89%0.28%52.1%
Stressed (>500bps)551-0.82%-1.44%-0.12%1.56%64.8%
Trade-Weighted Dollar
Dollar regime: bottom/middle/top tercile of trailing 5Y rolling distribution
CURRENT: 118.04 Weak (bottom tercile)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Weak (bottom tercile)997-0.27%-2.07%-4.53%-7.02%21.5%
Neutral (middle)1,2320.63%2.65%7.45%7.00%72.3%
Strong (top tercile)2,6040.22%0.83%2.07%0.63%54.6%

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 JPY/USD; negative means it lags.

ANCHORROLEPEAK LAGPEAK CORRZERO-LAGRELATIONSHIP
10Y Treasury YieldDiscount-rate driver0d0.3260.326coincident
Trade-Weighted DollarFX driver0d0.2690.269coincident
HY OAS SpreadCredit risk leader0d-0.248-0.248coincident
Baa-10Y SpreadCredit risk (slow)0d-0.196-0.196coincident
VIXVolatility leader0d-0.181-0.181coincident
Initial Jobless ClaimsLabor leader-10d-0.089-0.002weak
NFCIFinancial conditions-56d-0.054-0.002weak
CopperGlobal growth proxy0d0.0440.044weak
10Y-2Y Yield SpreadRecession leader-26d-0.038-0.027weak
U-Mich Consumer SentimentSurvey leader0d0.0000.000weak

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 JPY/USD 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.

DATEVALUE+30D+90D+1Y
May 2, 2025144.5200-0.26%1.83%8.25%
Jan 31, 2025154.9100-4.10%-6.46%1.10%
Nov 1, 2024152.94000.31%-2.86%0.77%
Aug 2, 2024146.9800-4.21%3.46%0.18%
May 3, 2024152.85003.24%-6.94%-6.14%

Worst Historical Drawdown[07]

-43.82%PEAK-TO-TROUGH
Peak Feb 8, 2002 → trough Oct 28, 2011. Recovered to prior peak on Jun 14, 2022 (3,882 days).
All-time high: 161.7300 on Jul 10, 2024 · Current DD from ATH: -3.15%

Cross-Asset Correlations · 1Y[08]

S&P 500
-0.049
n=240
Nasdaq 100
-0.009
n=240
20Y Treasury
-0.315
n=240
Gold
-0.211
n=240
Bitcoin
0.018
n=242

Largest Single-Period Moves[09]

▲ Up
  • Apr 4, 20133.40%
  • Jun 20, 20133.11%
  • Sep 15, 20103.11%
  • Mar 18, 20113.05%
  • Oct 31, 20112.97%
▼ Down
  • Oct 24, 2008-5.08%
  • Mar 19, 2009-4.31%
  • Oct 6, 2008-4.25%
  • Dec 20, 2022-4.23%
  • Jun 24, 2016-3.44%

Calendar-Month Seasonality[10]

Average single-period return aggregated by the calendar month in which the period ended.

MONTHAVG RETURNHIT %N
January-0.02%46.7%505
February0.03%51.9%478
March0.02%51.8%552
April0.01%49.2%537
May-0.00%51.3%522
June0.02%54.3%530
July-0.03%50.2%530
August-0.03%48.4%554
September0.02%53.1%510
October0.03%52.4%531
November0.01%50.0%486
December0.01%49.7%523

N = 6,259 OBS · GENERATED 2026-05-18 11:00Z

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 JPY/USD higher?

The primary drivers that tend to lift JPY/USD 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 JPY/USD lower?

The same transmission channels that drive JPY/USD 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 JPY/USD 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 JPY/USD?

Historical ranges for JPY/USD 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 JPY/USD chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the JPY/USD 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.