GXLC vs. AFOS
GXLC (Global X U.S. 500 ETF) and AFOS (ARS Focused Opportunities Strategy ETF) are both Large Cap Blend Equities funds. Their correlation of 0.84 suggests significant overlap in exposure. GXLC charges 0.02%/yr vs 0.45%/yr for AFOS.
Performance
GXLC vs. AFOS - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, GXLC achieves a 8.50% return, which is significantly lower than AFOS's 26.02% return.
GXLC
- 1D
- -2.61%
- 1M
- 0.60%
- YTD
- 8.50%
- 6M
- 8.24%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
AFOS
- 1D
- -4.70%
- 1M
- -0.24%
- YTD
- 26.02%
- 6M
- 29.35%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
GXLC vs. AFOS - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
GXLC Global X U.S. 500 ETF | 8.50% | 3.22% |
AFOS ARS Focused Opportunities Strategy ETF | 26.02% | 15.43% |
Correlation
The correlation between GXLC and AFOS is 0.84, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.
| Correlation | |
|---|---|
Correlation (All Time) Calculated using the full available price history since Sep 25, 2025 | 0.84 |
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
GXLC vs. AFOS - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Global X U.S. 500 ETF (GXLC) and ARS Focused Opportunities Strategy ETF (AFOS). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
Loading charts...
Sharpe Ratios by Period
| GXLC | AFOS | Difference | |
|---|---|---|---|
Sharpe Ratio (All Time)Calculated using the full available price history | 1.30 | 3.75 | -2.44 |
Drawdowns
GXLC vs. AFOS - Drawdown Comparison
The maximum GXLC drawdown since its inception was -9.08%, smaller than the maximum AFOS drawdown of -11.52%. Use the drawdown chart below to compare losses from any high point for GXLC and AFOS.
Loading charts...
Drawdown Indicators
| GXLC | AFOS | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -9.08% | -11.52% | +2.44% |
Current DrawdownCurrent decline from peak | -2.88% | -4.83% | +1.95% |
Average DrawdownAverage peak-to-trough decline | -1.50% | -1.38% | -0.12% |
Volatility
GXLC vs. AFOS - Volatility Comparison
Loading charts...
Volatility by Period
| GXLC | AFOS | Difference | |
|---|---|---|---|
Volatility (1Y)Calculated over the trailing 1-year period | 13.63% | 20.74% | -7.11% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 13.63% | 20.74% | -7.11% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 13.63% | 20.74% | -7.11% |
GXLC vs. AFOS - Expense Ratio Comparison
GXLC has a 0.02% expense ratio, which is lower than AFOS's 0.45% expense ratio.
Dividends
GXLC vs. AFOS - Dividend Comparison
GXLC's dividend yield for the trailing twelve months is around 0.64%, more than AFOS's 0.24% yield.
| Position | TTM | 2025 |
|---|---|---|
AFOS ARS Focused Opportunities Strategy ETF | 0.24% | 0.30% |
GXLC Global X U.S. 500 ETF | 0.64% | 0.30% |
Frequently Asked Questions
GXLC and AFOS have a correlation of 0.84, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, GXLC is cheaper at 0.02% per year. The better choice depends on whether you care most about return, fees, risk, or income.
GXLC is cheaper with a 0.02% expense ratio, compared with 0.45% for AFOS.
GXLC has the higher dividend yield at 0.64%, compared with 0.24% for AFOS.
They also come from different issuers: Global X and ARS Investment Partners. Their fees differ too: 0.02% for GXLC and 0.45% for AFOS.
Find the right allocation for GXLC and AFOS
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer