CONVEX
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▍ STATISTICAL PROJECTION · YEAR-END 2026

Based on current macro regime conditions and switzerland snb policy rate's historical behaviour in similar regimes, the model projects -0.43% by 2026-12-31 ( +22.4% from -0.35% today). The 68% confidence range is 0.98% to -1.84%; the wider 95% range is 2.34% to -3.20%. Methodology below the headline.

Central Estimate
-0.43%
+22.4% vs current -0.35%
68% Range (±1σ)
0.98% to -1.84%
95% Range (±1.96σ)
2.34% to -3.20%
Central estimate uses the unconditional 25-year historical average because current regime buckets had insufficient observations to produce a reliable blend.
METHOD: CENTRAL = SAMPLE-WEIGHTED MEAN OF PER-ANCHOR CURRENT-REGIME 1Y AVERAGES, SCALED TO 190-DAY HORIZON. BAND = ±σ√T USING 464.9% ANNUALIZED REALIZED VOL.
EXPECTED TO BE -0.43% BY 2026-12-31 (HIGHER FROM -0.35% ON 2026-03-31). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

Switzerland SNB Policy Rate Forecast 2026

Quantitative analysis from 35 observations of Switzerland SNB Policy Rate history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
SNB-POLICY-RATE · LAST
-0.35%
AS OF 2026-03-31
Percentile · 25Y History
0.0th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y13-133.47%760.45%-0.1825.0%-333.33%
3Y3529.70%464.95%0.0629.4%-136.84%
5Y3529.70%464.95%0.0629.4%-136.84%
10Y3529.70%464.95%0.0629.4%-136.84%
All3529.70%464.95%0.0629.4%-136.84%

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
0.0th
-0.35median 0.731.63
Current value -0.3500 on a 35-observation history going back to Mar 31, 2026.

Worst Historical Drawdown[07]

-121.47%PEAK-TO-TROUGH
Peak Nov 30, 2023 → trough Mar 31, 2026. Has not yet recovered to prior peak.
All-time high: 1.6300 on Nov 30, 2023 · Current DD from ATH: -121.47%

Largest Single-Period Moves[09]

▲ Up
  • Jan 31, 202543.75%
  • Nov 30, 202335.83%
  • Jan 31, 202633.33%
  • Oct 31, 202432.81%
  • Jun 30, 202326.32%
▼ Down
  • Jun 30, 2025-766.67%
  • Mar 31, 2026-118.75%
  • Dec 31, 2024-78.08%
  • Apr 30, 2025-60.00%
  • May 31, 2025-50.00%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January22.57%66.7%3
February3.47%66.7%3
March-51.47%0.0%3
April-31.49%0.0%2
May-26.15%0.0%2
June-255.97%33.3%3
July0.36%33.3%3
August5.38%33.3%3
September-20.25%0.0%3
October16.49%66.7%3
November7.24%33.3%3
December-43.31%0.0%3

N = 35 OBS · GENERATED 2026-05-17 17:00Z

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: ECB/BoE forward guidance

Key Drivers & Risks

  • ECB/BoE policy
  • European inflation
  • Growth differentials
  • Political risk

Historical Volatility

Moderate: similar to US rates

Frequently Asked Questions

What factors could push Switzerland SNB Policy Rate higher?

The primary drivers that tend to lift Switzerland SNB Policy Rate depend on the current macro regime. European markets carry the sovereign debt overhang of the post-2010 era in their pricing. Bund-BTP spreads remain the cleanest gauge of periphery stress, while HICP drives ECB policy expectations. UK macro diverges post-Brexit, with sterling volatility and Gilt-Bund spreads carrying political risk premia that sometimes detach entirely from U.S. moves. Convex tracks these drivers live across the EU/UK Rates 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 Switzerland SNB Policy Rate lower?

The same transmission channels that drive Switzerland SNB Policy 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 Switzerland SNB Policy 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 Switzerland SNB Policy Rate?

Historical ranges for Switzerland SNB Policy 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 Switzerland SNB Policy Rate chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the Switzerland SNB Policy 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.