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HACK vs. AIEQ
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

HACK vs. AIEQ - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Amplify Cybersecurity ETF (HACK) and Amplify AI Powered Equity ETF (AIEQ). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, HACK achieves a 19.40% return, which is significantly higher than AIEQ's 8.03% return.


HACK

1D
1.24%
1M
1.17%
YTD
19.40%
6M
17.34%
1Y
14.12%
3Y*
25.16%
5Y*
9.42%
10Y*
15.64%

AIEQ

1D
-1.27%
1M
-1.14%
YTD
8.03%
6M
7.07%
1Y
19.15%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

HACK vs. AIEQ - Yearly Performance Comparison


2026 (YTD)20252024
HACK
Amplify Cybersecurity ETF
19.40%7.97%17.68%
AIEQ
Amplify AI Powered Equity ETF
8.03%13.96%15.21%

Correlation

The correlation between HACK and AIEQ is 0.52, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


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

0.52

Correlation (All Time)
Calculated using the full available price history since Jan 29, 2024

0.66

The correlation between HACK and AIEQ shifts across timeframes, from 0.52 (1 year) to 0.66 (all time), reflecting how their relationship changes across market environments.

HACK vs. AIEQ - Sectors Allocation Comparison


Sectors
HACK
AIEQ

Technology

92.7%
39.7%

Industrials

7.2%
10.4%

Financial Services

0.1%
11.7%

Basic Materials

-

2.8%

Communication Services

-

11.2%

Consumer Cyclical

-

9.7%

Consumer Defensive

-

4.6%

Energy

-

2.8%

Healthcare

-

6.7%

Real Estate

-

0.2%

Utilities

-

0.3%

Technology

HACK
92.7%
AIEQ
39.7%

Industrials

HACK
7.2%
AIEQ
10.4%

Financial Services

HACK
0.1%
AIEQ
11.7%

Basic Materials

HACK

-

AIEQ
2.8%

Communication Services

HACK

-

AIEQ
11.2%

Consumer Cyclical

HACK

-

AIEQ
9.7%

Consumer Defensive

HACK

-

AIEQ
4.6%

Energy

HACK

-

AIEQ
2.8%

Healthcare

HACK

-

AIEQ
6.7%

Real Estate

HACK

-

AIEQ
0.2%

Utilities

HACK

-

AIEQ
0.3%

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Return for Risk

HACK vs. AIEQ — Risk / Return Rank

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

HACK
HACK Risk / Return Rank: 1717
Overall Rank
HACK Sharpe Ratio Rank: 1717
Sharpe Ratio Rank
HACK Sortino Ratio Rank: 1717
Sortino Ratio Rank
HACK Omega Ratio Rank: 1717
Omega Ratio Rank
HACK Calmar Ratio Rank: 1717
Calmar Ratio Rank
HACK Martin Ratio Rank: 1616
Martin Ratio Rank

AIEQ
AIEQ Risk / Return Rank: 4545
Overall Rank
AIEQ Sharpe Ratio Rank: 4545
Sharpe Ratio Rank
AIEQ Sortino Ratio Rank: 4242
Sortino Ratio Rank
AIEQ Omega Ratio Rank: 4343
Omega Ratio Rank
AIEQ Calmar Ratio Rank: 4444
Calmar Ratio Rank
AIEQ Martin Ratio Rank: 4949
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.

HACK vs. AIEQ - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Amplify Cybersecurity ETF (HACK) and Amplify AI Powered Equity ETF (AIEQ). 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.


HACKAIEQDifference
Sharpe ratioReturn per unit of total volatility

-0.95

Sortino ratioReturn per unit of downside risk

-1.18

Omega ratioGain probability vs. loss probability

1.11

1.27

-0.16

Calmar ratioReturn relative to maximum drawdown

0.69

2.11

-1.43

Martin ratioReturn relative to average drawdown

1.61

8.00

-6.39

HACK vs. AIEQ - Sharpe Ratio Comparison

The current HACK Sharpe Ratio is 0.55, which is lower than the AIEQ Sharpe Ratio of 1.50. The chart below compares the historical Sharpe Ratios of HACK and AIEQ, 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

HACK vs. AIEQ - Drawdown Comparison

The maximum HACK drawdown since its inception was -42.68%, which is greater than AIEQ's maximum drawdown of -24.19%. Use the drawdown chart below to compare losses from any high point for HACK and AIEQ.


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Drawdown Indicators


HACKAIEQDifference

Max Drawdown

Largest peak-to-trough decline

-42.68%

-24.19%

-18.49%

Max Drawdown (1Y)

Largest decline over 1 year

-20.67%

-9.11%

-11.56%

Max Drawdown (3Y)

Largest decline over 3 years

-21.90%

Max Drawdown (5Y)

Largest decline over 5 years

-38.68%

Max Drawdown (10Y)

Largest decline over 10 years

-38.68%

Current Drawdown

Current decline from peak

-8.93%

-2.85%

-6.08%

Average Drawdown

Average peak-to-trough decline

-11.62%

-3.28%

-8.34%

Ulcer Index

Depth and duration of drawdowns from previous peaks

8.80%

2.40%

+6.40%

Volatility

HACK vs. AIEQ - Volatility Comparison

Amplify Cybersecurity ETF (HACK) has a higher volatility of 11.83% compared to Amplify AI Powered Equity ETF (AIEQ) at 4.68%. This indicates that HACK's price experiences larger fluctuations and is considered to be riskier than AIEQ based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


HACKAIEQDifference

Volatility (1M)

Calculated over the trailing 1-month period

11.83%

4.68%

+7.15%

Volatility (6M)

Calculated over the trailing 6-month period

21.94%

10.15%

+11.79%

Volatility (1Y)

Calculated over the trailing 1-year period

26.06%

12.87%

+13.19%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.30%

19.47%

+4.83%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

23.25%

19.47%

+3.78%

HACK vs. AIEQ - Expense Ratio Comparison

HACK has a 0.60% expense ratio, which is lower than AIEQ's 0.75% expense ratio.


Dividends

HACK vs. AIEQ - Dividend Comparison

HACK's dividend yield for the trailing twelve months is around 0.06%, less than AIEQ's 0.40% yield.


PositionTTM2025202420232022202120202019201820172016
AIEQ
Amplify AI Powered Equity ETF
0.40%0.43%0.65%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
HACK
Amplify Cybersecurity ETF
0.06%0.07%0.14%0.20%0.24%0.26%1.11%0.14%0.09%0.01%1.23%

Frequently Asked Questions


HACK and AIEQ have a correlation of 0.52, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

HACK has higher volatility (11.83%) compared to AIEQ (4.68%). In terms of maximum drawdown, HACK dropped -42.68% vs AIEQ's -24.19%.

On 1-year performance, AIEQ leads with 19.15% vs 14.12% for HACK. On fees, HACK is cheaper at 0.60% per year. On volatility, AIEQ has been the lower-risk option at 4.68%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, AIEQ has performed better with a 19.15% return vs 14.12%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

HACK is cheaper with a 0.60% expense ratio, compared with 0.75% for AIEQ.

AIEQ has the higher dividend yield at 0.40%, compared with 0.06% for HACK.

HACK is categorized as Technology Equities, while AIEQ is Large Cap Growth Equities. HACK tracks Nasdaq ISE Cyber Security Select Index, while AIEQ tracks AI Powered Equity Index. Their fees differ too: 0.60% for HACK and 0.75% for AIEQ.

AIEQ currently has the higher Sharpe Ratio (1.50 vs 0.55), 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 HACK and AIEQ

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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