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SPAM vs. HACK
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SPAM vs. HACK - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Themes Cybersecurity ETF (SPAM) and ETFMG Prime Cyber Security ETF (HACK). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, SPAM achieves a 37.49% return, which is significantly higher than HACK's 31.11% return.


SPAM

1D
-1.23%
1M
31.03%
YTD
37.49%
6M
30.70%
1Y
36.26%
3Y*
5Y*
10Y*

HACK

1D
0.35%
1M
30.44%
YTD
31.11%
6M
26.65%
1Y
26.77%
3Y*
29.03%
5Y*
12.66%
10Y*
16.20%
*Multi-year figures are annualized to reflect compound growth (CAGR)

SPAM vs. HACK - Yearly Performance Comparison


2026 (YTD)202520242023
SPAM
Themes Cybersecurity ETF
37.49%4.86%10.58%5.42%
HACK
ETFMG Prime Cyber Security ETF
31.11%7.97%23.49%4.97%

Correlation

The correlation between SPAM and HACK is 0.88, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


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

0.88

Correlation (All Time)
Calculated using the full available price history since Dec 11, 2023

0.88

The correlation between SPAM and HACK has been stable across timeframes, ranging from 0.88 to 0.88 - a consistent structural relationship.

SPAM vs. HACK - Sectors Allocation Comparison


Sectors
SPAM
HACK

Technology

88.9%
93.0%

Communication Services

6.7%

-

Industrials

4.0%
6.9%

Real Estate

0.5%

-

Financial Services

0.1%
0.1%

Basic Materials

-

-

Consumer Cyclical

-

-

Consumer Defensive

-

-

Energy

-

-

Healthcare

-

-

Utilities

-

-

Technology

SPAM
88.9%
HACK
93.0%

Communication Services

SPAM
6.7%
HACK

-

Industrials

SPAM
4.0%
HACK
6.9%

Real Estate

SPAM
0.5%
HACK

-

Financial Services

SPAM
0.1%
HACK
0.1%

Basic Materials

SPAM

-

HACK

-

Consumer Cyclical

SPAM

-

HACK

-

Consumer Defensive

SPAM

-

HACK

-

Energy

SPAM

-

HACK

-

Healthcare

SPAM

-

HACK

-

Utilities

SPAM

-

HACK

-

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Return for Risk

SPAM vs. HACK — Risk / Return Rank

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

SPAM
SPAM Risk / Return Rank: 3333
Overall Rank
SPAM Sharpe Ratio Rank: 3737
Sharpe Ratio Rank
SPAM Sortino Ratio Rank: 3535
Sortino Ratio Rank
SPAM Omega Ratio Rank: 3535
Omega Ratio Rank
SPAM Calmar Ratio Rank: 3131
Calmar Ratio Rank
SPAM Martin Ratio Rank: 2525
Martin Ratio Rank

HACK
HACK Risk / Return Rank: 2828
Overall Rank
HACK Sharpe Ratio Rank: 3030
Sharpe Ratio Rank
HACK Sortino Ratio Rank: 2929
Sortino Ratio Rank
HACK Omega Ratio Rank: 2929
Omega Ratio Rank
HACK Calmar Ratio Rank: 2929
Calmar Ratio Rank
HACK Martin Ratio Rank: 2424
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.

SPAM vs. HACK - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Themes Cybersecurity ETF (SPAM) and ETFMG Prime Cyber Security ETF (HACK). 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.


SPAMHACKDifference

Sharpe ratio

Return per unit of total volatility

1.36

1.06

+0.29

Sortino ratio

Return per unit of downside risk

1.88

1.53

+0.35

Omega ratio

Gain probability vs. loss probability

1.24

1.20

+0.04

Calmar ratio

Return relative to maximum drawdown

1.54

1.40

+0.15

Martin ratio

Return relative to average drawdown

3.47

3.36

+0.10

SPAM vs. HACK - Sharpe Ratio Comparison

The current SPAM Sharpe Ratio is 1.36, which is comparable to the HACK Sharpe Ratio of 1.06. The chart below compares the historical Sharpe Ratios of SPAM and HACK, 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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Sharpe Ratios by Period


SPAMHACKDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.36

1.06

+0.29

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.53

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.70

Sharpe Ratio (All Time)

Calculated using the full available price history

0.95

0.59

+0.37

Drawdowns

SPAM vs. HACK - Drawdown Comparison

The maximum SPAM drawdown since its inception was -24.02%, smaller than the maximum HACK drawdown of -42.68%. Use the drawdown chart below to compare losses from any high point for SPAM and HACK.


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Drawdown Indicators


SPAMHACKDifference

Max Drawdown

Largest peak-to-trough decline

-24.02%

-42.68%

+18.66%

Max Drawdown (1Y)

Largest decline over 1 year

-24.02%

-20.67%

-3.35%

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

-1.23%

0.00%

-1.23%

Average Drawdown

Average peak-to-trough decline

-6.53%

-11.64%

+5.11%

Ulcer Index

Depth and duration of drawdowns from previous peaks

10.69%

8.58%

+2.11%

Volatility

SPAM vs. HACK - Volatility Comparison

Themes Cybersecurity ETF (SPAM) and ETFMG Prime Cyber Security ETF (HACK) have volatilities of 9.99% and 9.78%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SPAMHACKDifference

Volatility (1M)

Calculated over the trailing 1-month period

9.99%

9.78%

+0.21%

Volatility (6M)

Calculated over the trailing 6-month period

22.16%

21.33%

+0.83%

Volatility (1Y)

Calculated over the trailing 1-year period

26.86%

25.33%

+1.53%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.68%

24.14%

+0.54%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

24.68%

23.25%

+1.43%

SPAM vs. HACK - Expense Ratio Comparison

SPAM has a 0.35% expense ratio, which is lower than HACK's 0.60% expense ratio.


Dividends

SPAM vs. HACK - Dividend Comparison

SPAM's dividend yield for the trailing twelve months is around 0.36%, more than HACK's 0.06% yield.


PositionTTM2025202420232022202120202019201820172016
HACK
ETFMG Prime Cyber Security ETF
0.06%0.07%0.14%0.20%0.24%0.26%1.11%0.14%0.09%0.01%1.23%
SPAM
Themes Cybersecurity ETF
0.36%0.49%0.13%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


SPAM and HACK have a correlation of 0.88, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SPAM has higher volatility (9.99%) compared to HACK (9.78%). In terms of maximum drawdown, SPAM dropped -24.02% vs HACK's -42.68%.

On 1-year performance, SPAM leads with 36.26% vs 26.77% for HACK. On fees, SPAM is cheaper at 0.35% per year. On volatility, HACK has been the lower-risk option at 9.78%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, SPAM has performed better with a 36.26% return vs 26.77%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SPAM is cheaper with a 0.35% expense ratio, compared with 0.60% for HACK.

SPAM has the higher dividend yield at 0.36%, compared with 0.06% for HACK.

SPAM tracks Solactive Cyber Security Index - Benchmark TR Net, while HACK tracks Prime Cyber Defense Index. They also come from different issuers: Themes and ETFMG. Their fees differ too: 0.35% for SPAM and 0.60% for HACK.

SPAM currently has the higher Sharpe Ratio (1.36 vs 1.06), 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 SPAM and HACK

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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