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Data from FMP. Forecasts by Sigmanomics Forecast Engine.
SingaporeSingapore Non-Oil Exports YoY climbed to 68.4% in September 2026
FMPMonthlyReleased October 2026
Singapore Non-Oil Exports YoY climbed to 68.4% in September 2026, released October 2026, up 22.3% from August's 46.1% reading. The print exceeded the 33.8% consensus by 34.6%.
Latest Release
68.400000
Actual
33.800000
Consensus
46.100000
Previous
Median Absolute Error
±10.72 percentage points
across last 12 releases
Last Call
Oct 2026
Predicted: 39.4
Actual: 68.4
Error: -29
Sigmacast Σ-direction model: consensus + ½ × mean(surprise, trailing 90d).
CORRELATED SYMBOLS— markets that historically move with this indicator
| Symbol | Direction | Correlation | Asset Class | Co-movement | Action |
|---|---|---|---|---|---|
| Nikkei 225 | ▲ Direct | +0.45 | INDEX | Moves with | → View |
| Hang Seng | ▼ Inverse | −0.42 | INDEX | Moves against | → View |
Correlation based on 12-month rolling window. Click any symbol to view its Sigmanomics forecast page.
THE RELEASE
Non-Oil Exports YoY (Singapore) was reported at 68.4% in October 2026. This beat the market consensus of 33.8% by 34.6%. The reading rose from the previous value of 46.1%. Trailing 12-month context per ETL data through October 2026. Over the past 12 months, the indicator has averaged 25.05%, ranging from 4% to 68.4% across 11 releases.
WHY IT MATTERS
The indicator has been trending upward over the last three releases. The trailing three releases averaged 46.27%, up from the prior three at 27.87%. Volatility over the past year (σ 18.5%) is higher than the prior year (σ 7.38%). In October readings over the past 3 years, Non-Oil Exports YoY has averaged 26%.
THE MODEL'S TAKE
Historically, this indicator is positively correlated with Nikkei 225 (Bullish Nikkei 225). A secondary relationship exists with Hang Seng, negatively correlated (Bearish Hang Seng). Over the last 12 releases, the Sigmacast model's median absolute error is 10.72%.
WHAT TO WATCH NEXT
The next release is scheduled for November 17, 2026.
Auto-generated from current model state · Refreshes on each release · Last update October 2026.
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Non-Oil Exports YoY - SG
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About Non-Oil Exports YoY — Singapore
DEFINITION
Non-Oil Exports YoY is a financial indicator that measures the year-over-year change in the value of a country's exports, excluding any revenue generated from the sale of oil or petroleum products. This indicator provides valuable insights into a country's economic performance and its ability to diversify its export base. It is often used by investors and analysts to assess the overall health and competitiveness of a country's economy. A positive Non-Oil Exports YoY indicates growth in non-oil exports, while a negative reading may suggest a decline in export activity.
WHY THIS INDICATOR MATTERS
Trade-balance and tariff data inform exchange-rate fundamentals and feed directly into GDP via the net-exports channel. The release is more useful as part of a longer-run signal than as a single-print catalyst. Released monthly.
WHAT CHANGED THIS MONTH
Latest reading (Sep 2026): actual 68.4 %, consensus 33.8 %. Prior reading (Aug 2026): 46.2 %. Before that (Jul 2026): 24.2 %.
WHAT'S NEXT
Sigmacast's 1-month forecast points to a higher reading versus the latest print, with the 3-month outlook reinforcing that direction. Both horizons are aligned bullish for this indicator, suggesting a consistent trend signal. Trend-driven dynamics are the primary tailwind in the current projection. This indicator correlates most strongly with Nikkei 225 (Bullish Nikkei 225, r=0.45) — a useful reference for index-focused traders.
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Economic Calendar - SG Events
| Friday, October 30, 2026 | Actual | Previous | Consensus | Sigmanomics Rolling-Surprise Forecast | Impact | ||
|---|---|---|---|---|---|---|---|
| 02:00 | SG | Bank Lending | 978.8 | 966.4 | 909.5 | 944.15 | Low |
| 02:30 | SG | Unemployment Rate | 2 | 1.9 | 2 | 2.00 | Low |
| Monday, November 2, 2026 | Actual | Previous | Consensus | Sigmanomics Rolling-Surprise Forecast | Impact | ||
| 05:00 | SG | Business Confidence | 12 | 14 | 14.00 | Low | |
| 13:00 | SG | S&P Global Manufacturing PMI | 51.7 | 51.8 | 51.80 | Low | |