Based on current macro regime conditions and philippines treasury holdings's historical behaviour in similar regimes, the model projects 69,882.66 by 2025-12-31 ( +11.3% from 62,800 today). The 68% confidence range is 55,746.28 to 84,019.03; the wider 95% range is 42,175.36 to 97,589.95. Methodology below the headline.
Philippines Treasury Holdings Forecast 2026
Quantitative analysis from 204 observations of Philippines Treasury Holdings 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 | 12 | 10.09% | 8.49% | 1.19 | 72.7% | 9.22% |
| 3Y | 36 | 6.34% | 10.60% | 0.60 | 57.1% | 19.62% |
| 5Y | 60 | 9.39% | 12.61% | 0.74 | 57.6% | 55.45% |
| 10Y | 120 | 4.45% | 15.72% | 0.28 | 51.3% | 53.92% |
| All | 204 | 11.28% | 22.51% | 0.50 | 49.3% | 509.71% |
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]
Historical Analogs[06]
Periods where Philippines Treasury Holdings 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 |
|---|---|---|---|---|
| Dec 31, 2023 | 57700.0000 | -0.35% | 0.00% | 8.84% |
| Mar 31, 2023 | 51500.0000 | -2.91% | -3.69% | 16.70% |
| Sep 30, 2022 | 51200.0000 | -8.20% | -4.69% | -5.47% |
| May 31, 2022 | 50600.0000 | -1.78% | 1.19% | -2.57% |
| Feb 28, 2022 | 53900.0000 | -2.60% | -7.79% | -5.38% |
Worst Historical Drawdown[07]
Largest Single-Period Moves[09]
- Jul 31, 201041.96%
- Jul 31, 200840.91%
- Jul 31, 201132.16%
- Mar 31, 201918.40%
- Mar 31, 201016.80%
- Sep 30, 2018-12.18%
- Apr 30, 2014-12.18%
- Dec 31, 2020-10.91%
- Jan 31, 2019-10.59%
- Dec 31, 2018-10.27%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | 2.17% | 50.0% | 16 |
| February | 2.27% | 70.6% | 17 |
| March | 2.21% | 52.9% | 17 |
| April | -1.16% | 29.4% | 17 |
| May | -0.37% | 23.5% | 17 |
| June | -0.10% | 47.1% | 17 |
| July | 7.34% | 64.7% | 17 |
| August | 0.34% | 41.2% | 17 |
| September | -0.94% | 41.2% | 17 |
| October | 0.86% | 47.1% | 17 |
| November | 1.21% | 64.7% | 17 |
| December | -0.79% | 58.8% | 17 |
N = 204 OBS · GENERATED 2026-05-17 13:30Z
Forecast Approach
regime implied: The current macro regime classification (Goldilocks, Reflation, Stagflation, or Deflation) dictates the expected direction and magnitude of movement, calibrated against historical regime performance.
Key Drivers & Risks
- •Macro regime
- •Monetary policy
- •Risk appetite
Historical Volatility
Moderate
Frequently Asked Questions
What factors could push Philippines Treasury Holdings higher?▾
The primary drivers that tend to lift Philippines Treasury Holdings depend on the current macro regime. Global trade flows carry early signals about inflation and growth that show up in U.S. prints with a lag. The NY Fed Global Supply Chain Pressure Index condenses shipping rates, delivery times, and backlogs into a single number, while Treasury TIC data reveals which foreign creditors are accumulating or shedding U.S. debt. Together they map how real goods and dollar balances circulate through the global system. Convex tracks these drivers live across the TIC Foreign Holdings 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 Philippines Treasury Holdings lower?▾
The same transmission channels that drive Philippines Treasury Holdings 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 Philippines Treasury Holdings 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 Philippines Treasury Holdings?▾
Historical ranges for Philippines Treasury Holdings 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 Philippines Treasury Holdings chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the Philippines Treasury Holdings 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.
Get forecast updates for Philippines Treasury Holdings and related indicators.
Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.