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SPAM vs. SMH
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SPAM vs. SMH - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Themes Cybersecurity ETF (SPAM) and VanEck Semiconductor ETF (SMH). 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 33.77% return, which is significantly lower than SMH's 77.13% return.


SPAM

1D
-2.70%
1M
24.26%
YTD
33.77%
6M
25.92%
1Y
30.91%
3Y*
5Y*
10Y*

SMH

1D
0.90%
1M
25.87%
YTD
77.13%
6M
75.61%
1Y
157.20%
3Y*
64.17%
5Y*
39.21%
10Y*
37.68%
*Multi-year figures are annualized to reflect compound growth (CAGR)

SPAM vs. SMH - Yearly Performance Comparison


2026 (YTD)202520242023
SPAM
Themes Cybersecurity ETF
33.77%4.86%10.58%5.42%
SMH
VanEck Semiconductor ETF
77.13%49.17%39.10%8.27%

Correlation

The correlation between SPAM and SMH is 0.38, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.38

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

0.49

The correlation between SPAM and SMH shifts across timeframes, from 0.38 (1 year) to 0.49 (all time), reflecting how their relationship changes across market environments.

SPAM vs. SMH - Sectors Allocation Comparison


Sectors
SPAM
SMH

Technology

88.9%
100.0%

Communication Services

6.7%

-

Industrials

4.0%

-

Real Estate

0.5%

-

Financial Services

0.1%

-

Basic Materials

-

-

Consumer Cyclical

-

-

Consumer Defensive

-

-

Energy

-

-

Healthcare

-

-

Utilities

-

-

Technology

SPAM
88.9%
SMH
100.0%

Communication Services

SPAM
6.7%
SMH

-

Industrials

SPAM
4.0%
SMH

-

Real Estate

SPAM
0.5%
SMH

-

Financial Services

SPAM
0.1%
SMH

-

Basic Materials

SPAM

-

SMH

-

Consumer Cyclical

SPAM

-

SMH

-

Consumer Defensive

SPAM

-

SMH

-

Energy

SPAM

-

SMH

-

Healthcare

SPAM

-

SMH

-

Utilities

SPAM

-

SMH

-

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Return for Risk

SPAM vs. SMH — Risk / Return Rank

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

SPAM
SPAM Risk / Return Rank: 2828
Overall Rank
SPAM Sharpe Ratio Rank: 3131
Sharpe Ratio Rank
SPAM Sortino Ratio Rank: 3030
Sortino Ratio Rank
SPAM Omega Ratio Rank: 3030
Omega Ratio Rank
SPAM Calmar Ratio Rank: 2727
Calmar Ratio Rank
SPAM Martin Ratio Rank: 2323
Martin Ratio Rank

SMH
SMH Risk / Return Rank: 9696
Overall Rank
SMH Sharpe Ratio Rank: 9898
Sharpe Ratio Rank
SMH Sortino Ratio Rank: 9595
Sortino Ratio Rank
SMH Omega Ratio Rank: 9595
Omega Ratio Rank
SMH Calmar Ratio Rank: 9797
Calmar Ratio Rank
SMH Martin Ratio Rank: 9696
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. SMH - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Themes Cybersecurity ETF (SPAM) and VanEck Semiconductor ETF (SMH). 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.


SPAMSMHDifference

Sharpe ratio

Return per unit of total volatility

1.15

5.19

-4.04

Sortino ratio

Return per unit of downside risk

1.64

5.22

-3.57

Omega ratio

Gain probability vs. loss probability

1.21

1.72

-0.52

Calmar ratio

Return relative to maximum drawdown

1.29

10.59

-9.30

Martin ratio

Return relative to average drawdown

2.90

40.63

-37.73

SPAM vs. SMH - Sharpe Ratio Comparison

The current SPAM Sharpe Ratio is 1.15, which is lower than the SMH Sharpe Ratio of 5.19. The chart below compares the historical Sharpe Ratios of SPAM and SMH, 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


SPAMSMHDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.15

5.19

-4.04

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

1.13

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

1.16

Sharpe Ratio (All Time)

Calculated using the full available price history

0.89

0.34

+0.55

Drawdowns

SPAM vs. SMH - Drawdown Comparison

The maximum SPAM drawdown since its inception was -24.02%, smaller than the maximum SMH drawdown of -84.96%. Use the drawdown chart below to compare losses from any high point for SPAM and SMH.


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Drawdown Indicators


SPAMSMHDifference

Max Drawdown

Largest peak-to-trough decline

-24.02%

-84.96%

+60.94%

Max Drawdown (1Y)

Largest decline over 1 year

-24.02%

-14.93%

-9.09%

Max Drawdown (3Y)

Largest decline over 3 years

-35.74%

Max Drawdown (5Y)

Largest decline over 5 years

-45.30%

Max Drawdown (10Y)

Largest decline over 10 years

-45.30%

Current Drawdown

Current decline from peak

-3.90%

0.00%

-3.90%

Average Drawdown

Average peak-to-trough decline

-6.53%

-41.09%

+34.56%

Ulcer Index

Depth and duration of drawdowns from previous peaks

10.69%

3.89%

+6.80%

Volatility

SPAM vs. SMH - Volatility Comparison

The current volatility for Themes Cybersecurity ETF (SPAM) is 10.67%, while VanEck Semiconductor ETF (SMH) has a volatility of 11.47%. This indicates that SPAM experiences smaller price fluctuations and is considered to be less risky than SMH based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SPAMSMHDifference

Volatility (1M)

Calculated over the trailing 1-month period

10.67%

11.47%

-0.80%

Volatility (6M)

Calculated over the trailing 6-month period

22.35%

24.29%

-1.94%

Volatility (1Y)

Calculated over the trailing 1-year period

27.01%

30.56%

-3.55%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.72%

35.01%

-10.29%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

24.72%

32.57%

-7.85%

SPAM vs. SMH - Expense Ratio Comparison

Both SPAM and SMH have an expense ratio of 0.35%.


Dividends

SPAM vs. SMH - Dividend Comparison

SPAM's dividend yield for the trailing twelve months is around 0.37%, more than SMH's 0.17% yield.


PositionTTM20252024202320222021202020192018201720162015
SMH
VanEck Semiconductor ETF
0.17%0.31%0.44%0.60%1.18%0.51%0.69%1.50%1.88%1.43%0.80%2.14%
SPAM
Themes Cybersecurity ETF
0.37%0.49%0.13%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


SPAM and SMH have a correlation of 0.38, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SMH has higher volatility (11.47%) compared to SPAM (10.67%). In terms of maximum drawdown, SPAM dropped -24.02% vs SMH's -84.96%.

On 1-year performance, SMH leads with 157.20% vs 30.91% for SPAM. Both ETFs have the same 0.35% expense ratio. On volatility, SPAM has been the lower-risk option at 10.67%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, SMH has performed better with a 157.20% return vs 30.91%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SPAM and SMH have the same expense ratio: 0.35% per year.

SPAM has the higher dividend yield at 0.37%, compared with 0.17% for SMH.

SPAM is categorized as Technology Equities, while SMH is Semiconductors. SPAM tracks Solactive Cyber Security Index - Benchmark TR Net, while SMH tracks MVIS US Listed Semiconductor 25 Index. They also come from different issuers: Themes and VanEck.

SMH currently has the higher Sharpe Ratio (5.19 vs 1.15), 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 SMH

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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