Stocks, Bonds, Gold, Crypto: Market Update 2/11/2026
Here is a quick snapshot of how different asset classes moved yesterday, last week, and last month.
- Equity fell -0.02% yesterday, versus a 0.8% gain this week and -0.5% over the month
- Bonds dropped -0.2% yesterday, after rising 0.6% this week and 0.1% in the last month
- Gold gained 1.1% yesterday, with increases over both the week and month as well
- Commodities investors earned 1% yesterday, also seeing gains during the past week and month
- Real Estate declined -0.6% yesterday, following a 2.6% weekly gain and 4.2% monthly rise
- Bitcoin increased 0.2% yesterday, against a -5.6% weekly drop and -24% monthly loss
| ETF | 1D | 1W | 1M | |
|---|---|---|---|---|
| Equity | SPY | -0.0% | 0.8% | -0.5% |
| Bonds | AGG | -0.2% | 0.6% | 0.1% |
| Gold | GLD | 1.1% | 3.0% | 10.8% |
| Commodities | DBC | 1.0% | 0.7% | 5.1% |
| Real Estate | VNQ | -0.6% | 2.6% | 4.2% |
| Bitcoin | BTCUSD | 0.2% | -5.6% | -24.4% |
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 | 15.6% | 14.9% | 87.3% |
| Bonds | AGG | 1.9% | 5.1% | -12.2% |
| Gold | GLD | 15.7% | 15.2% | 91.0% |
| Commodities | DBC | 8.2% | 15.9% | 41.3% |
| Real Estate | VNQ | 6.1% | 17.6% | 27.0% |
| Bitcoin | BTCUSD | 68.7% | 76.8% | 102.3% |
Figures are on annualized basis, based on monthly return data for last 10 years
How Stable Is the Correlation Between Different Asset Classes?
| Equity | Bonds | Gold | Commodities | Real Estate | Bitcoin | |
|---|---|---|---|---|---|---|
| Equity | – | 12% | 20% | 8.0% | 5.6% | 12% | 3.0% | 34% | 23% | 34% | 73% | 68% | 65% | 26% | 39% | 42% |
| Bonds | 12% | 20% | 8.0% | – | 33% | 30% | 7.1% | -0.2% | -2.8% | -11% | 28% | 38% | 33% | 11% | 7.3% | -6.7% |
| Gold | 5.6% | 12% | 3.0% | 33% | 30% | 7.1% | – | 29% | 37% | 47% | 12% | 18% | 7.3% | 10% | 9.5% | 11% |
| Commodities | 34% | 23% | 34% | -0.2% | -2.8% | -11% | 29% | 37% | 47% | – | 23% | 15% | 26% | 10% | 12% | 19% |
| Real Estate | 73% | 68% | 65% | 28% | 38% | 33% | 12% | 18% | 7.3% | 23% | 15% | 26% | – | 18% | 25% | 20% |
| Bitcoin | 26% | 39% | 42% | 11% | 7.3% | -6.7% | 10% | 9.5% | 11% | 10% | 12% | 19% | 18% | 25% | 20% | – |
The figures above are correlations for last 10Y, 5Y and 1Y, in same order
Which Assets Have Seen the 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.