MATH vs. SPY
MATH (Metalpha Technology Holding Limited) is a stock, while SPY (State Street SPDR S&P 500 ETF) is S&P 500 fund tracking the S&P 500 Index. Over the past 5 years, MATH returned -7.61%/yr vs 13.05%/yr for SPY. At a 0.07 correlation, their price movements are largely independent.
Performance
MATH vs. SPY - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, MATH achieves a -50.95% return, which is significantly lower than SPY's 8.15% return.
MATH
- 1D
- 1.98%
- 1M
- -2.83%
- YTD
- -50.95%
- 6M
- -57.96%
- 1Y
- -67.51%
- 3Y*
- -2.75%
- 5Y*
- -7.61%
- 10Y*
- —
SPY
- 1D
- -1.45%
- 1M
- -1.36%
- YTD
- 8.15%
- 6M
- 7.20%
- 1Y
- 23.59%
- 3Y*
- 20.68%
- 5Y*
- 13.05%
- 10Y*
- 15.53%
MATH vs. SPY - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
MATH Metalpha Technology Holding Limited | -50.95% | 82.61% | -47.25% | 323.71% | -57.48% | -48.29% | 80.00% | -0.01% | -70.18% | -41.00% |
SPY State Street SPDR S&P 500 ETF | 8.15% | 17.72% | 24.89% | 26.18% | -18.18% | 28.73% | 18.33% | 31.22% | -4.57% | 4.86% |
Correlation
The correlation between MATH and SPY is 0.12, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.12 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.13 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.09 |
Correlation (All Time) Calculated using the full available price history since Oct 20, 2017 | 0.07 |
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
MATH vs. SPY — Risk / Return Rank
MATH
SPY
MATH vs. SPY - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Metalpha Technology Holding Limited (MATH) and State Street SPDR S&P 500 ETF (SPY). 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.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| MATH | SPY | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -2.69 | ||
| Sortino ratioReturn per unit of downside risk | -3.81 | ||
| Omega ratioGain probability vs. loss probability | 0.86 | 1.34 | -0.48 |
| Calmar ratioReturn relative to maximum drawdown | -0.86 | 2.67 | -3.53 |
| Martin ratioReturn relative to average drawdown | -1.36 | 11.92 | -13.28 |
Loading charts...
Drawdowns
MATH vs. SPY - Drawdown Comparison
The maximum MATH drawdown since its inception was -96.71%, which is greater than SPY's maximum drawdown of -55.19%. Use the drawdown chart below to compare losses from any high point for MATH and SPY.
Loading charts...
Drawdown Indicators
| MATH | SPY | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -96.71% | -55.19% | -41.52% |
Max Drawdown (1Y)Largest decline over 1 year | -78.30% | -8.88% | -69.42% |
Max Drawdown (3Y)Largest decline over 3 years | -78.88% | -18.76% | -60.12% |
Max Drawdown (5Y)Largest decline over 5 years | -78.88% | -24.50% | -54.38% |
Max Drawdown (10Y)Largest decline over 10 years | — | -33.72% | — |
Current DrawdownCurrent decline from peak | -92.47% | -3.17% | -89.30% |
Average DrawdownAverage peak-to-trough decline | -87.04% | -9.04% | -78.00% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 49.59% | 1.98% | +47.61% |
Volatility
MATH vs. SPY - Volatility Comparison
Metalpha Technology Holding Limited (MATH) has a higher volatility of 24.90% compared to State Street SPDR S&P 500 ETF (SPY) at 4.87%. This indicates that MATH's price experiences larger fluctuations and is considered to be riskier than SPY based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| MATH | SPY | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 24.90% | 4.87% | +20.03% |
Volatility (6M)Calculated over the trailing 6-month period | 62.38% | 9.85% | +52.53% |
Volatility (1Y)Calculated over the trailing 1-year period | 86.37% | 12.50% | +73.87% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 90.03% | 17.15% | +72.88% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 112.54% | 17.95% | +94.59% |
Dividends
MATH vs. SPY - Dividend Comparison
MATH has not paid dividends to shareholders, while SPY's dividend yield for the trailing twelve months is around 1.03%.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
MATH Metalpha Technology Holding Limited | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
SPY State Street SPDR S&P 500 ETF | 1.03% | 1.07% | 1.21% | 1.40% | 1.65% | 1.20% | 1.52% | 1.75% | 2.04% | 1.80% | 2.03% | 2.06% |
Frequently Asked Questions
MATH and SPY have a correlation of 0.12, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
MATH has higher volatility (24.90%) compared to SPY (4.87%). In terms of maximum drawdown, MATH dropped -96.71% vs SPY's -55.19%.
SPY currently has the higher Sharpe Ratio (1.90 vs -0.79), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
Find the right allocation for MATH and SPY
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