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SPAM vs. GINN
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SPAM vs. GINN - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Themes Cybersecurity ETF (SPAM) and Goldman Sachs ETF Trust Goldman Sachs Innovate Equity ETF (GINN). 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 24.10% return, which is significantly higher than GINN's 5.00% return.


SPAM

1D
0.76%
1M
-0.84%
YTD
24.10%
6M
20.96%
1Y
18.17%
3Y*
5Y*
10Y*

GINN

1D
-1.06%
1M
-1.95%
YTD
5.00%
6M
3.65%
1Y
20.17%
3Y*
18.28%
5Y*
5.45%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

SPAM vs. GINN - Yearly Performance Comparison


2026 (YTD)202520242023
SPAM
Themes Cybersecurity ETF
24.10%4.86%10.58%6.74%
GINN
Goldman Sachs ETF Trust Goldman Sachs Innovate Equity ETF
5.00%20.25%18.71%6.78%

Correlation

The correlation between SPAM and GINN is 0.68, 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

0.68

Correlation (All Time)
Calculated using the full available price history since Dec 8, 2023

0.73

The correlation between SPAM and GINN has been stable across timeframes, ranging from 0.68 to 0.73 - a consistent structural relationship.

SPAM vs. GINN - Sectors Allocation Comparison


Sectors
SPAM
GINN

Technology

89.6%
32.6%

Communication Services

5.7%
10.7%

Industrials

4.4%
4.7%

Real Estate

0.4%
0.6%

Financial Services

0.1%
12.4%

Basic Materials

-

0.1%

Consumer Cyclical

-

12.7%

Consumer Defensive

-

1.8%

Energy

-

1.7%

Healthcare

-

20.6%

Utilities

-

1.7%

Technology

SPAM
89.6%
GINN
32.6%

Communication Services

SPAM
5.7%
GINN
10.7%

Industrials

SPAM
4.4%
GINN
4.7%

Real Estate

SPAM
0.4%
GINN
0.6%

Financial Services

SPAM
0.1%
GINN
12.4%

Basic Materials

SPAM

-

GINN
0.1%

Consumer Cyclical

SPAM

-

GINN
12.7%

Consumer Defensive

SPAM

-

GINN
1.8%

Energy

SPAM

-

GINN
1.7%

Healthcare

SPAM

-

GINN
20.6%

Utilities

SPAM

-

GINN
1.7%

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Return for Risk

SPAM vs. GINN — Risk / Return Rank

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

SPAM
SPAM Risk / Return Rank: 1919
Overall Rank
SPAM Sharpe Ratio Rank: 2020
Sharpe Ratio Rank
SPAM Sortino Ratio Rank: 2020
Sortino Ratio Rank
SPAM Omega Ratio Rank: 2020
Omega Ratio Rank
SPAM Calmar Ratio Rank: 1818
Calmar Ratio Rank
SPAM Martin Ratio Rank: 1717
Martin Ratio Rank

GINN
GINN Risk / Return Rank: 3535
Overall Rank
GINN Sharpe Ratio Rank: 3636
Sharpe Ratio Rank
GINN Sortino Ratio Rank: 3535
Sortino Ratio Rank
GINN Omega Ratio Rank: 3434
Omega Ratio Rank
GINN Calmar Ratio Rank: 3333
Calmar Ratio Rank
GINN Martin Ratio Rank: 3737
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. GINN - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Themes Cybersecurity ETF (SPAM) and Goldman Sachs ETF Trust Goldman Sachs Innovate Equity ETF (GINN). 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.


SPAMGINNDifference
Sharpe ratioReturn per unit of total volatility

-0.56

Sortino ratioReturn per unit of downside risk

-0.68

Omega ratioGain probability vs. loss probability

1.13

1.22

-0.08

Calmar ratioReturn relative to maximum drawdown

0.76

1.54

-0.78

Martin ratioReturn relative to average drawdown

1.67

5.39

-3.73

SPAM vs. GINN - Sharpe Ratio Comparison

The current SPAM Sharpe Ratio is 0.67, which is lower than the GINN Sharpe Ratio of 1.22. The chart below compares the historical Sharpe Ratios of SPAM and GINN, 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

SPAM vs. GINN - Drawdown Comparison

The maximum SPAM drawdown since its inception was -24.02%, smaller than the maximum GINN drawdown of -41.25%. Use the drawdown chart below to compare losses from any high point for SPAM and GINN.


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Drawdown Indicators


SPAMGINNDifference

Max Drawdown

Largest peak-to-trough decline

-24.02%

-41.25%

+17.23%

Max Drawdown (1Y)

Largest decline over 1 year

-24.02%

-13.18%

-10.84%

Max Drawdown (3Y)

Largest decline over 3 years

-22.25%

Max Drawdown (5Y)

Largest decline over 5 years

-41.25%

Current Drawdown

Current decline from peak

-10.85%

-4.93%

-5.92%

Average Drawdown

Average peak-to-trough decline

-6.58%

-13.28%

+6.70%

Ulcer Index

Depth and duration of drawdowns from previous peaks

10.92%

3.75%

+7.17%

Volatility

SPAM vs. GINN - Volatility Comparison

Themes Cybersecurity ETF (SPAM) has a higher volatility of 12.02% compared to Goldman Sachs ETF Trust Goldman Sachs Innovate Equity ETF (GINN) at 5.81%. This indicates that SPAM's price experiences larger fluctuations and is considered to be riskier than GINN based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SPAMGINNDifference

Volatility (1M)

Calculated over the trailing 1-month period

12.02%

5.81%

+6.21%

Volatility (6M)

Calculated over the trailing 6-month period

22.85%

12.92%

+9.93%

Volatility (1Y)

Calculated over the trailing 1-year period

27.40%

16.57%

+10.83%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.74%

21.44%

+3.30%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

24.74%

21.07%

+3.67%

SPAM vs. GINN - Expense Ratio Comparison

SPAM has a 0.35% expense ratio, which is lower than GINN's 0.50% expense ratio.


Dividends

SPAM vs. GINN - Dividend Comparison

SPAM's dividend yield for the trailing twelve months is around 0.39%, less than GINN's 1.20% yield.


PositionTTM202520242023202220212020
GINN
Goldman Sachs ETF Trust Goldman Sachs Innovate Equity ETF
1.20%1.26%1.26%1.01%0.69%0.67%0.07%
SPAM
Themes Cybersecurity ETF
0.39%0.49%0.13%0.00%0.00%0.00%0.00%

Frequently Asked Questions


SPAM and GINN have a correlation of 0.68, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SPAM has higher volatility (12.02%) compared to GINN (5.81%). In terms of maximum drawdown, SPAM dropped -24.02% vs GINN's -41.25%.

On 1-year performance, GINN leads with 20.17% vs 18.17% for SPAM. On fees, SPAM is cheaper at 0.35% per year. On volatility, GINN has been the lower-risk option at 5.81%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, GINN has performed better with a 20.17% return vs 18.17%. 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 0.50% for GINN.

GINN has the higher dividend yield at 1.20%, compared with 0.39% for SPAM.

SPAM tracks Solactive Cyber Security Index - Benchmark TR Net, while GINN tracks Solactive Innovative Global Equity Index. They also come from different issuers: Themes and Goldman Sachs. Their fees differ too: 0.35% for SPAM and 0.50% for GINN.

GINN currently has the higher Sharpe Ratio (1.22 vs 0.67), 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 GINN

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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