1. Background
This article updates our ongoing tracking of cross-asset correlations, last reported in our April 2025 analysis of correlation breakdown during stress events. The August 2025 volatility episode provides a fresh data point for assessing whether the post-2022 positive stock-bond correlation regime persists.
2. The August 2025 Event
In early August 2025, a combination of weaker-than-expected payroll data, escalating geopolitical tensions, and a sharp unwind in crowded momentum positions triggered a multi-day volatility spike. The VIX reached 38.6, its highest level since the April tariff shock. What made this event analytically interesting was the behaviour of cross-asset correlations: the stock-bond correlation, which had been oscillating around +0.15 for most of 2025, spiked to +0.45 during the acute phase — indicating that both stocks and bonds sold off simultaneously.
3. Updated Correlation Matrix
| Pair | 2024 Avg | 2025 Calm | Aug 2025 Stress | Δ |
|---|---|---|---|---|
| SPX – UST | +0.08 | +0.15 | +0.45 | +0.30 |
| SPX – Gold | −0.02 | +0.04 | −0.21 | −0.25 |
| SPX – Crude | +0.31 | +0.28 | +0.61 | +0.33 |
| SPX – EM Eq | +0.72 | +0.69 | +0.91 | +0.22 |
| UST – Gold | +0.18 | +0.22 | +0.38 | +0.16 |
| Crude – EUR | +0.24 | +0.19 | +0.47 | +0.28 |
Table 1: 20-day rolling correlations before and during the August 2025 stress event.
4. The Stock-Bond Regime
The positive stock-bond correlation first appeared during the 2022 rate-hiking cycle and has not fully reversed. Our rolling 60-day correlation estimate has remained positive for 80% of trading days since January 2023. The August 2025 event reinforced this regime: bonds failed to provide their traditional hedge during the equity sell-off. This has profound implications for the 60/40 portfolio and for any systematic strategy that relies on the stock-bond hedge for risk management.
import numpy as np
def rolling_correlation(x, y, window=60):
"""Compute rolling Pearson correlation."""
T = len(x)
corr = np.full(T, np.nan)
for t in range(window, T):
corr[t] = np.corrcoef(x[t-window:t], y[t-window:t])[0,1]
return corr
def correlation_regime_probability(corr_series, threshold=0):
"""Fraction of time correlation exceeds threshold."""
valid = corr_series[~np.isnan(corr_series)]
return np.mean(valid > threshold)
5. Gold as the Replacement Hedge
Gold was the only major asset to show a negative correlation shift with equities during the August event (−0.21 vs. +0.04 in calm periods). This is consistent with our earlier finding that gold has replaced Treasuries as the primary flight-to-safety asset in the post-2022 positive-stock-bond-correlation regime. However, the magnitude of the hedge is smaller than the historical Treasury hedge: the equity-gold correlation during stress was −0.21 compared to the pre-2022 equity-Treasury correlation during stress of approximately −0.35.
6. DCC-GARCH Model Update
We re-estimate our Dynamic Conditional Correlation (Engle, 2002) model through September 2025. The DCC model captures the time-varying nature of correlations and provides one-step-ahead forecasts. The model predicted an equity-bond correlation of +0.28 for August 2025; the realised value was +0.45. The underestimate of 0.17 is within the model’s historical error distribution (95th percentile of forecast error is 0.22) but represents a meaningful miss for risk management purposes.
7. Portfolio Risk Implications
For a standard 60/40 equity-bond portfolio, the positive stock-bond correlation increases portfolio volatility by approximately 15% relative to the pre-2022 regime. For systematic multi-asset strategies that use correlation-based position sizing, the key implication is that calm-period correlation estimates underestimate stress-period risk — a point we have emphasised repeatedly. We recommend either using stress-period correlations as the baseline for sizing, or applying a dynamic adjustment based on the VIX level.
8. Conclusion
The August 2025 volatility event confirms that the positive stock-bond correlation regime remains intact. Gold has partially filled the hedging role previously played by Treasuries, but with smaller magnitude. Systematic traders should assume positive stock-bond correlations in their risk models until there is clear evidence of a regime reversal — which would likely require sustained disinflation and a return to the zero-interest-rate environment.
References
- Engle, R. (2002). "Dynamic Conditional Correlation." J. Business & Economic Statistics, 20(3), 339–350.
- Longin, F. and Solnik, B. (2001). "Extreme Correlation of International Equity Markets." Journal of Finance, 56(2), 649–676.
- Page, S. and Panariello, R.A. (2018). "When Diversification Fails." Financial Analysts Journal, 74(3), 19–32.
- Campbell, J.Y., Sunderam, A. and Viceira, L.M. (2017). "Inflation Bets or Deflation Hedges?" Journal of Finance, 72(4), 1529–1563.