Stocks, Bonds, Gold, Crypto: Market Update 10/10/2025
Here is a quick snapshot of how different asset classes moved yesterday, last week, and the last month.
- Equity dropped 2.7% yesterday and also declined over the past week and month.
- Bonds rose 0.4% yesterday, after gains of 0.2% for the week and a 0.2% loss over the month.
- Gold returned 1% yesterday, with gains also seen over the week and month.
- Commodities fell 2.1% in the last session, continuing declines for the week and month.
- Real Estate slipped 1.3% yesterday, extending losses from the past week and month.
- Bitcoin gained 0.1% yesterday, after dropping 0.3% last week but rising 5.5% over the month.
| ETF | 1D | 1W | 1M | |
|---|---|---|---|---|
| Equity | SPY | -2.7% | -2.4% | -0.7% |
| Bonds | AGG | 0.4% | 0.2% | -0.2% |
| Gold | GLD | 1.0% | 3.2% | 10.3% |
| Commodities | DBC | -2.1% | -1.5% | -0.7% |
| Real Estate | VNQ | -1.3% | -3.6% | -5.5% |
| Bitcoin | BTCUSD | 0.1% | -0.3% | 5.5% |
Why does it matter?
- See where capital is flowing: Asset class performance reveals investor sentiment, from risk-on rallies to flight-to-safety moves.
- Track shifts in correlation: Rising correlations reduce diversification benefits and increase portfolio risk during stress.
- Spot early signs of rotation: Leadership changing across stocks, bonds, or commodities often precedes macro regime shifts.
Trefis works with Empirical Asset Management – a Boston area wealth manager – whose asset allocation strategies yielded positive returns during the 2008-09 period when the S&P lost more than 40%. Empirical has incorporated the Trefis HQ Portfolio in this asset allocation framework to provide clients better returns with less risk versus the benchmark index; less of a roller-coaster ride, as evident in HQ Portfolio performance metrics.
Capital Flow Patterns Have Governed Historical Risk-Return Profile
| ETF | Return | Volatility | Sharpe | |
|---|---|---|---|---|
| Equity | SPY | 14.7% | 15.6% | 83.2% |
| Bonds | AGG | 1.8% | 5.1% | -14.0% |
| Gold | GLD | 13.0% | 14.3% | 74.1% |
| Commodities | DBC | 4.7% | 16.1% | 20.5% |
| Real Estate | VNQ | 5.5% | 17.8% | 26.7% |
| Bitcoin | BTCUSD | 86.7% | 79.9% | 115.4% |
Figures are on annualized basis, based on monthly return data for last 10 years
How Stable Is Correlation Between Different Asset Classes?
| Equity | Bonds | Gold | Commodities | Real Estate | Bitcoin | |
|---|---|---|---|---|---|---|
| Equity | – | 11% | 19% | 9.4% | 4.8% | 12% | 1.9% | 34% | 24% | 29% | 73% | 70% | 63% | 24% | 37% | 38% |
| Bonds | 11% | 19% | 9.4% | – | 35% | 35% | 17% | -0.2% | -2.6% | -7.9% | 27% | 36% | 43% | 10% | 7.5% | -3.3% |
| Gold | 4.8% | 12% | 1.9% | 35% | 35% | 17% | – | 26% | 33% | 36% | 13% | 19% | 15% | 10% | 8.3% | 3.4% |
| Commodities | 34% | 24% | 29% | -0.2% | -2.6% | -7.9% | 26% | 33% | 36% | – | 23% | 16% | 15% | 9.8% | 11% | 8.2% |
| Real Estate | 73% | 70% | 63% | 27% | 36% | 43% | 13% | 19% | 15% | 23% | 16% | 15% | – | 17% | 24% | 19% |
| Bitcoin | 24% | 37% | 38% | 10% | 7.5% | -3.3% | 10% | 8.3% | 3.4% | 9.8% | 11% | 8.2% | 17% | 24% | 19% | – |
The figures above are correlations for last 10Y, 5Y and 1Y, in same order
Which Assets Have Seen Most Money Rotation During Market Crashes?
| ETF | Inflation Shock | Covid Pandemic | 2018 Correction | |
|---|---|---|---|---|
| Equity | SPY | -23.0% | -30.4% | -19.3% |
| Bonds | AGG | -14.1% | -2.1% | 1.4% |
| Gold | GLD | -7.7% | -6.3% | 5.0% |
| Commodities | DBC | 20.5% | -23.7% | -16.5% |
| Real Estate | VNQ | -29.8% | -41.6% | -11.1% |
| Bitcoin | BTCUSD | -56.0% | -33.5% | -37.4% |
The table shows return of different asset classes during market crises – specifically during the period where S&P fell and bottomed
The Trefis High Quality (HQ) Portfolio, with a collection of 30 stocks, has a track record of comfortably outperforming its benchmark that includes all 3 – S&P 500, Russell, and S&P midcap. Why is that? As a group, HQ Portfolio stocks provided better returns with less risk versus the benchmark index; less of a roller-coaster ride, as evident in HQ Portfolio performance metrics.