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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 -54.24% return, which is significantly lower than ^IXIC's 8.84% return.


MATH

1D
-1.94%
1M
-11.02%
YTD
-54.24%
6M
-59.62%
1Y
-68.18%
3Y*
-5.81%
5Y*
-9.23%
10Y*

^IXIC

1D
-0.24%
1M
-5.16%
YTD
8.84%
6M
7.22%
1Y
25.43%
3Y*
23.12%
5Y*
11.99%
10Y*
18.35%
*Multi-year figures are annualized to reflect compound growth (CAGR)

MATH vs. ^IXIC - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
MATH
Metalpha Technology Holding Limited
-54.24%82.61%-47.25%323.71%-57.48%-48.29%80.00%-0.01%-70.18%-41.00%
^IXIC
NASDAQ Composite
8.84%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 0.11, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.11

Correlation (3Y)
Calculated over the trailing 3-year period

0.14

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: 1010
Overall Rank
MATH Sharpe Ratio Rank: 1010
Sharpe Ratio Rank
MATH Sortino Ratio Rank: 99
Sortino Ratio Rank
MATH Omega Ratio Rank: 1111
Omega Ratio Rank
MATH Calmar Ratio Rank: 88
Calmar Ratio Rank
MATH Martin Ratio Rank: 1111
Martin Ratio Rank

^IXIC
^IXIC Risk / Return Rank: 4747
Overall Rank
^IXIC Sharpe Ratio Rank: 4444
Sharpe Ratio Rank
^IXIC Sortino Ratio Rank: 4444
Sortino Ratio Rank
^IXIC Omega Ratio Rank: 4545
Omega Ratio Rank
^IXIC Calmar Ratio Rank: 4747
Calmar Ratio Rank
^IXIC Martin Ratio Rank: 5454
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

-2.25

Sortino ratioReturn per unit of downside risk

-3.28

Omega ratioGain probability vs. loss probability

0.86

1.26

-0.40

Calmar ratioReturn relative to maximum drawdown

-0.87

1.93

-2.81

Martin ratioReturn relative to average drawdown

-1.36

7.12

-8.47

MATH vs. ^IXIC - Sharpe Ratio Comparison

The current MATH Sharpe Ratio is -0.79, which is lower than the ^IXIC Sharpe Ratio of 1.46. 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

-78.30%

-13.21%

-65.09%

Max Drawdown (3Y)

Largest decline over 3 years

-78.88%

-24.32%

-54.56%

Max Drawdown (5Y)

Largest decline over 5 years

-78.88%

-36.40%

-42.48%

Max Drawdown (10Y)

Largest decline over 10 years

-36.40%

Current Drawdown

Current decline from peak

-92.97%

-6.63%

-86.34%

Average Drawdown

Average peak-to-trough decline

-87.05%

-21.38%

-65.67%

Ulcer Index

Depth and duration of drawdowns from previous peaks

50.26%

3.58%

+46.68%

Volatility

MATH vs. ^IXIC - Volatility Comparison

Metalpha Technology Holding Limited (MATH) has a higher volatility of 23.96% compared to NASDAQ Composite (^IXIC) at 7.53%. 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

23.96%

7.53%

+16.43%

Volatility (6M)

Calculated over the trailing 6-month period

62.17%

13.81%

+48.36%

Volatility (1Y)

Calculated over the trailing 1-year period

85.96%

17.54%

+68.42%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

89.99%

22.64%

+67.35%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

112.47%

22.06%

+90.41%

Frequently Asked Questions


MATH and ^IXIC have a correlation of 0.11, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

MATH has higher volatility (23.96%) compared to ^IXIC (7.53%). In terms of maximum drawdown, MATH dropped -96.71% vs ^IXIC's -77.93%.

^IXIC currently has the higher Sharpe Ratio (1.46 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.

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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