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SPAM vs. XSW
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SPAM vs. XSW - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Themes Cybersecurity ETF (SPAM) and SPDR S&P Software & Services ETF (XSW). 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 23.17% return, which is significantly higher than XSW's -14.42% return.


SPAM

1D
-0.99%
1M
-1.58%
YTD
23.17%
6M
18.54%
1Y
19.19%
3Y*
5Y*
10Y*

XSW

1D
-1.47%
1M
-2.96%
YTD
-14.42%
6M
-17.32%
1Y
-10.76%
3Y*
7.75%
5Y*
-1.17%
10Y*
12.71%
*Multi-year figures are annualized to reflect compound growth (CAGR)

SPAM vs. XSW - Yearly Performance Comparison


2026 (YTD)202520242023
SPAM
Themes Cybersecurity ETF
23.17%4.86%10.58%6.74%
XSW
SPDR S&P Software & Services ETF
-14.42%-0.90%25.81%7.30%

Correlation

The correlation between SPAM and XSW is 0.82, 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

0.82

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

0.83

The correlation between SPAM and XSW has been stable across timeframes, ranging from 0.82 to 0.83 - a consistent structural relationship.

SPAM vs. XSW - Sectors Allocation Comparison


Sectors
SPAM
XSW

Technology

89.6%
85.9%

Communication Services

5.7%
2.7%

Industrials

4.4%
0.6%

Real Estate

0.4%

-

Financial Services

0.1%
9.0%

Basic Materials

-

-

Consumer Cyclical

-

1.1%

Consumer Defensive

-

-

Energy

-

-

Healthcare

-

0.8%

Utilities

-

-

Technology

SPAM
89.6%
XSW
85.9%

Communication Services

SPAM
5.7%
XSW
2.7%

Industrials

SPAM
4.4%
XSW
0.6%

Real Estate

SPAM
0.4%
XSW

-

Financial Services

SPAM
0.1%
XSW
9.0%

Basic Materials

SPAM

-

XSW

-

Consumer Cyclical

SPAM

-

XSW
1.1%

Consumer Defensive

SPAM

-

XSW

-

Energy

SPAM

-

XSW

-

Healthcare

SPAM

-

XSW
0.8%

Utilities

SPAM

-

XSW

-

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Return for Risk

SPAM vs. XSW — 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: 2121
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

XSW
XSW Risk / Return Rank: 66
Overall Rank
XSW Sharpe Ratio Rank: 55
Sharpe Ratio Rank
XSW Sortino Ratio Rank: 66
Sortino Ratio Rank
XSW Omega Ratio Rank: 55
Omega Ratio Rank
XSW Calmar Ratio Rank: 66
Calmar Ratio Rank
XSW Martin Ratio Rank: 66
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. XSW - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Themes Cybersecurity ETF (SPAM) and SPDR S&P Software & Services ETF (XSW). 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.


SPAMXSWDifference
Sharpe ratioReturn per unit of total volatility

+1.08

Sortino ratioReturn per unit of downside risk

+1.45

Omega ratioGain probability vs. loss probability

1.14

0.96

+0.18

Calmar ratioReturn relative to maximum drawdown

0.80

-0.32

+1.12

Martin ratioReturn relative to average drawdown

1.76

-0.66

+2.43

SPAM vs. XSW - Sharpe Ratio Comparison

The current SPAM Sharpe Ratio is 0.70, which is higher than the XSW Sharpe Ratio of -0.37. The chart below compares the historical Sharpe Ratios of SPAM and XSW, 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. XSW - Drawdown Comparison

The maximum SPAM drawdown since its inception was -24.02%, smaller than the maximum XSW drawdown of -45.38%. Use the drawdown chart below to compare losses from any high point for SPAM and XSW.


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Drawdown Indicators


SPAMXSWDifference

Max Drawdown

Largest peak-to-trough decline

-24.02%

-45.38%

+21.36%

Max Drawdown (1Y)

Largest decline over 1 year

-24.02%

-33.75%

+9.73%

Max Drawdown (3Y)

Largest decline over 3 years

-33.75%

Max Drawdown (5Y)

Largest decline over 5 years

-45.38%

Max Drawdown (10Y)

Largest decline over 10 years

-45.38%

Current Drawdown

Current decline from peak

-11.52%

-21.97%

+10.45%

Average Drawdown

Average peak-to-trough decline

-6.58%

-9.86%

+3.28%

Ulcer Index

Depth and duration of drawdowns from previous peaks

10.90%

16.25%

-5.35%

Volatility

SPAM vs. XSW - Volatility Comparison

Themes Cybersecurity ETF (SPAM) has a higher volatility of 12.02% compared to SPDR S&P Software & Services ETF (XSW) at 11.39%. This indicates that SPAM's price experiences larger fluctuations and is considered to be riskier than XSW based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SPAMXSWDifference

Volatility (1M)

Calculated over the trailing 1-month period

12.02%

11.39%

+0.63%

Volatility (6M)

Calculated over the trailing 6-month period

22.86%

23.81%

-0.95%

Volatility (1Y)

Calculated over the trailing 1-year period

27.44%

28.87%

-1.43%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.76%

28.89%

-4.13%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

24.76%

26.30%

-1.54%

SPAM vs. XSW - Expense Ratio Comparison

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


Dividends

SPAM vs. XSW - Dividend Comparison

SPAM's dividend yield for the trailing twelve months is around 0.40%, more than XSW's 0.04% yield.


PositionTTM20252024202320222021202020192018201720162015
SPAM
Themes Cybersecurity ETF
0.40%0.49%0.13%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
XSW
SPDR S&P Software & Services ETF
0.04%0.06%0.07%0.20%0.09%0.13%0.26%0.12%0.31%0.46%0.87%0.54%

Frequently Asked Questions


SPAM and XSW have a correlation of 0.82, 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 XSW (11.39%). In terms of maximum drawdown, SPAM dropped -24.02% vs XSW's -45.38%.

On 1-year performance, SPAM leads with 19.19% vs -10.76% for XSW. Both ETFs have the same 0.35% expense ratio. On volatility, XSW has been the lower-risk option at 11.39%. 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 19.19% return vs -10.76%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

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

SPAM has the higher dividend yield at 0.40%, compared with 0.04% for XSW.

SPAM tracks Solactive Cyber Security Index - Benchmark TR Net, while XSW tracks S&P Software & Services Select Industry Index. They also come from different issuers: Themes and State Street.

SPAM currently has the higher Sharpe Ratio (0.70 vs -0.37), 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 XSW

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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