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SMH vs. GSIB
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SMH vs. GSIB - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in VanEck Semiconductor ETF (SMH) and Themes Global Systemically Important Banks ETF (GSIB). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, SMH achieves a 66.10% return, which is significantly higher than GSIB's 10.39% return.


SMH

1D
5.00%
1M
5.58%
YTD
66.10%
6M
62.81%
1Y
137.42%
3Y*
60.43%
5Y*
37.89%
10Y*
36.92%

GSIB

1D
0.33%
1M
4.05%
YTD
10.39%
6M
15.52%
1Y
41.62%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

SMH vs. GSIB - Yearly Performance Comparison


2026 (YTD)202520242023
SMH
VanEck Semiconductor ETF
66.10%49.17%39.10%1.54%
GSIB
Themes Global Systemically Important Banks ETF
10.39%61.67%32.86%1.75%

Correlation

The correlation between SMH and GSIB 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 Dec 15, 2023

0.44

The correlation between SMH and GSIB has been stable across timeframes, ranging from 0.44 to 0.52 - a consistent structural relationship.

SMH vs. GSIB - Sectors Allocation Comparison


Sectors
SMH
GSIB

Technology

100.0%

-

Basic Materials

-

-

Communication Services

-

-

Consumer Cyclical

-

-

Consumer Defensive

-

-

Energy

-

-

Financial Services

-

100.0%

Healthcare

-

-

Industrials

-

-

Real Estate

-

-

Utilities

-

-

Technology

SMH
100.0%
GSIB

-

Basic Materials

SMH

-

GSIB

-

Communication Services

SMH

-

GSIB

-

Consumer Cyclical

SMH

-

GSIB

-

Consumer Defensive

SMH

-

GSIB

-

Energy

SMH

-

GSIB

-

Financial Services

SMH

-

GSIB
100.0%

Healthcare

SMH

-

GSIB

-

Industrials

SMH

-

GSIB

-

Real Estate

SMH

-

GSIB

-

Utilities

SMH

-

GSIB

-

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Return for Risk

SMH vs. GSIB — Risk / Return Rank

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

SMH
SMH Risk / Return Rank: 9696
Overall Rank
SMH Sharpe Ratio Rank: 9797
Sharpe Ratio Rank
SMH Sortino Ratio Rank: 9393
Sortino Ratio Rank
SMH Omega Ratio Rank: 9494
Omega Ratio Rank
SMH Calmar Ratio Rank: 9797
Calmar Ratio Rank
SMH Martin Ratio Rank: 9696
Martin Ratio Rank

GSIB
GSIB Risk / Return Rank: 7474
Overall Rank
GSIB Sharpe Ratio Rank: 8383
Sharpe Ratio Rank
GSIB Sortino Ratio Rank: 8383
Sortino Ratio Rank
GSIB Omega Ratio Rank: 7676
Omega Ratio Rank
GSIB Calmar Ratio Rank: 6666
Calmar Ratio Rank
GSIB Martin Ratio Rank: 6464
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.

SMH vs. GSIB - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for VanEck Semiconductor ETF (SMH) and Themes Global Systemically Important Banks ETF (GSIB). 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.


SMHGSIBDifference
Sharpe ratioReturn per unit of total volatility

+1.86

Sortino ratioReturn per unit of downside risk

+0.99

Omega ratioGain probability vs. loss probability

1.62

1.40

+0.22

Calmar ratioReturn relative to maximum drawdown

9.26

3.01

+6.25

Martin ratioReturn relative to average drawdown

34.80

10.59

+24.21

SMH vs. GSIB - Sharpe Ratio Comparison

The current SMH Sharpe Ratio is 4.27, which is higher than the GSIB Sharpe Ratio of 2.41. The chart below compares the historical Sharpe Ratios of SMH and GSIB, 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


SMHGSIBDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

4.27

2.41

+1.86

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

1.08

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

1.13

Sharpe Ratio (All Time)

Calculated using the full available price history

0.33

2.36

-2.03

Drawdowns

SMH vs. GSIB - Drawdown Comparison

The maximum SMH drawdown since its inception was -84.96%, which is greater than GSIB's maximum drawdown of -17.71%. Use the drawdown chart below to compare losses from any high point for SMH and GSIB.


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Drawdown Indicators


SMHGSIBDifference

Max Drawdown

Largest peak-to-trough decline

-84.96%

-17.71%

-67.25%

Max Drawdown (1Y)

Largest decline over 1 year

-14.93%

-13.90%

-1.03%

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

-6.23%

-1.13%

-5.10%

Average Drawdown

Average peak-to-trough decline

-41.07%

-2.06%

-39.01%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.96%

3.94%

+0.02%

Volatility

SMH vs. GSIB - Volatility Comparison

VanEck Semiconductor ETF (SMH) has a higher volatility of 15.45% compared to Themes Global Systemically Important Banks ETF (GSIB) at 4.58%. This indicates that SMH's price experiences larger fluctuations and is considered to be riskier than GSIB based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SMHGSIBDifference

Volatility (1M)

Calculated over the trailing 1-month period

15.45%

4.58%

+10.87%

Volatility (6M)

Calculated over the trailing 6-month period

26.71%

14.13%

+12.58%

Volatility (1Y)

Calculated over the trailing 1-year period

32.42%

17.39%

+15.03%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

35.32%

18.46%

+16.86%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

32.75%

18.46%

+14.29%

SMH vs. GSIB - Expense Ratio Comparison

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


Dividends

SMH vs. GSIB - Dividend Comparison

SMH's dividend yield for the trailing twelve months is around 0.18%, less than GSIB's 1.73% yield.


PositionTTM20252024202320222021202020192018201720162015
GSIB
Themes Global Systemically Important Banks ETF
1.73%1.91%1.67%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SMH
VanEck Semiconductor ETF
0.18%0.31%0.44%0.60%1.18%0.51%0.69%1.50%1.88%1.43%0.80%2.14%

Frequently Asked Questions


SMH and GSIB 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.

SMH has higher volatility (15.45%) compared to GSIB (4.58%). In terms of maximum drawdown, SMH dropped -84.96% vs GSIB's -17.71%.

On 1-year performance, SMH leads with 137.42% vs 41.62% for GSIB. Both ETFs have the same 0.35% expense ratio. On volatility, GSIB has been the lower-risk option at 4.58%. 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 137.42% return vs 41.62%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

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

GSIB has the higher dividend yield at 1.73%, compared with 0.18% for SMH.

SMH is categorized as Semiconductors, while GSIB is Financials Equities. They also come from different issuers: VanEck and Themes.

SMH currently has the higher Sharpe Ratio (4.27 vs 2.41), 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 SMH and GSIB

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