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MATH vs. ^IXIC
Performance
Return for Risk
Drawdowns
Volatility

Performance

MATH vs. ^IXIC - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Metalpha Technology Holding Limited (MATH) and NASDAQ Composite (^IXIC). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, MATH achieves a -59.91% return, which is significantly lower than ^IXIC's 9.75% return.


MATH

1D
-6.46%
1M
-16.64%
6M
-63.48%
YTD
-59.91%
1Y
-74.64%
3Y*
-13.26%
5Y*
-9.80%
10Y*
ALL TIME*
-21.99%

^IXIC

1D
-0.05%
1M
-3.81%
6M
8.47%
YTD
9.75%
1Y
22.07%
3Y*
22.04%
5Y*
11.76%
10Y*
17.47%
ALL TIME*
10.51%
*Multi-year figures are annualized to reflect compound growth (CAGR)

MATH vs. ^IXIC - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
MATH
Metalpha Technology Holding Limited
-59.91%82.61%-47.25%323.71%-57.48%-48.29%80.00%-0.01%-70.18%-41.00%
^IXIC
NASDAQ Composite
9.75%20.36%28.64%43.42%-33.10%21.39%43.64%35.23%-3.88%4.52%

Correlation

The correlation between MATH and ^IXIC 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

0.15

Correlation (5Y)
Calculated over the trailing 5-year period

0.11

Correlation (All Time)
Calculated using the full available price history since Oct 20, 2017

0.10

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Return for Risk

MATH vs. ^IXIC — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

MATH
MATH Risk / Return Rank: 77
Overall Rank
MATH Sharpe Ratio Rank: 88
Sharpe Ratio Rank
MATH Sortino Ratio Rank: 55
Sortino Ratio Rank
MATH Omega Ratio Rank: 77
Omega Ratio Rank
MATH Calmar Ratio Rank: 55
Calmar Ratio Rank
MATH Martin Ratio Rank: 99
Martin Ratio Rank

^IXIC
^IXIC Risk / Return Rank: 4141
Overall Rank
^IXIC Sharpe Ratio Rank: 4242
Sharpe Ratio Rank
^IXIC Sortino Ratio Rank: 3737
Sortino Ratio Rank
^IXIC Omega Ratio Rank: 4141
Omega Ratio Rank
^IXIC Calmar Ratio Rank: 4343
Calmar Ratio Rank
^IXIC Martin Ratio Rank: 4343
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

MATH vs. ^IXIC - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Metalpha Technology Holding Limited (MATH) and NASDAQ Composite (^IXIC). 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^IXICDifference
Sharpe ratioReturn per unit of total volatility

-2.12

Sortino ratioReturn per unit of downside risk

-3.42

Omega ratioGain probability vs. loss probability

0.81

1.22

-0.41

Calmar ratioReturn relative to maximum drawdown

-0.95

1.68

-2.63

Martin ratioReturn relative to average drawdown

-1.39

5.93

-7.33

MATH vs. ^IXIC - Sharpe Ratio Comparison

The current MATH Sharpe Ratio is -0.89, which is lower than the ^IXIC Sharpe Ratio of 1.24. The chart below compares the historical Sharpe Ratios of MATH and ^IXIC, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

MATH vs. ^IXIC - Drawdown Comparison

The maximum MATH drawdown since its inception was -96.71%, which is greater than ^IXIC's maximum drawdown of -77.93%. Use the drawdown chart below to compare losses from any high point for MATH and ^IXIC.


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Drawdown Indicators


MATH^IXICDifference

Max Drawdown

Largest peak-to-trough decline

-96.71%

-77.93%

-18.78%

Max Drawdown (1Y)

Largest decline over 1 year

-78.95%

-13.21%

-65.74%

Max Drawdown (3Y)

Largest decline over 3 years

-79.52%

-24.32%

-55.20%

Max Drawdown (5Y)

Largest decline over 5 years

-79.52%

-36.40%

-43.12%

Max Drawdown (10Y)

Largest decline over 10 years

-36.40%

Current Drawdown

Current decline from peak

-93.84%

-5.85%

-87.99%

Average Drawdown

Average peak-to-trough decline

-87.09%

-21.36%

-65.73%

Ulcer Index

Depth and duration of drawdowns from previous peaks

53.52%

3.73%

+49.79%

Volatility

MATH vs. ^IXIC - Volatility Comparison

Metalpha Technology Holding Limited (MATH) has a higher volatility of 12.87% compared to NASDAQ Composite (^IXIC) at 5.65%. This indicates that MATH's price experiences larger fluctuations and is considered to be riskier than ^IXIC based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


MATH^IXICDifference

Volatility (1M)

Calculated over the trailing 1-month period

12.87%

5.65%

+7.22%

Volatility (6M)

Calculated over the trailing 6-month period

60.94%

14.38%

+46.56%

Volatility (1Y)

Calculated over the trailing 1-year period

84.44%

17.97%

+66.47%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

89.71%

22.70%

+67.01%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

112.17%

22.08%

+90.09%

Frequently Asked Questions


MATH and ^IXIC 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 (12.87%) compared to ^IXIC (5.65%). In terms of maximum drawdown, MATH dropped -96.71% vs ^IXIC's -77.93%.

^IXIC currently has the higher Sharpe Ratio (1.24 vs -0.89), 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.

Portfolio Optimizer

Find the right allocation for MATH and ^IXIC

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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