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AIFD vs. SMH
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

AIFD vs. SMH - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in TCW Artificial Intelligence ETF (AIFD) 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, AIFD achieves a 30.44% return, which is significantly lower than SMH's 51.46% return.


AIFD

1D
1.48%
1M
-5.02%
6M
27.69%
YTD
30.44%
1Y
55.82%
3Y*
5Y*
10Y*
ALL TIME*
34.17%

SMH

1D
0.91%
1M
-7.91%
6M
33.70%
YTD
51.46%
1Y
92.69%
3Y*
53.04%
5Y*
32.99%
10Y*
33.99%
ALL TIME*
11.09%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$710.64K$728.72K$1.19M
$8.29B$7.23B$7.12B

AIFD vs. SMH - Yearly Performance Comparison


2026 (YTD)20252024
AIFD
TCW Artificial Intelligence ETF
30.44%28.30%15.22%
SMH
VanEck Semiconductor ETF
51.46%49.17%11.72%

Correlation

The correlation between AIFD and SMH is 0.86, meaning they have usually moved in the same direction, including during past declines.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.86

Correlation (All Time)
Calculated using the full available price history since May 6, 2024

0.87

The correlation between AIFD and SMH has been stable across timeframes, ranging from 0.86 to 0.87 - a consistent structural relationship.

AIFD vs. SMH - Sectors Allocation Comparison


Sectors
AIFD
SMH

Technology

73.7%
100.0%

Industrials

10.0%

-

Communication Services

7.0%

-

Consumer Cyclical

5.2%

-

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

-

Financial Services

-

-

Healthcare

-

-

Real Estate

-

-

Utilities

-

-

Technology

AIFD
73.7%
SMH
100.0%

Industrials

AIFD
10.0%
SMH

-

Communication Services

AIFD
7.0%
SMH

-

Consumer Cyclical

AIFD
5.2%
SMH

-

Basic Materials

AIFD

-

SMH

-

Consumer Defensive

AIFD

-

SMH

-

Energy

AIFD

-

SMH

-

Financial Services

AIFD

-

SMH

-

Healthcare

AIFD

-

SMH

-

Real Estate

AIFD

-

SMH

-

Utilities

AIFD

-

SMH

-

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Return for Risk

AIFD vs. SMH — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

AIFD
AIFD Risk / Return Rank: 7373
Overall Rank
AIFD Sharpe Ratio Rank: 7676
Sharpe Ratio Rank
AIFD Sortino Ratio Rank: 6969
Sortino Ratio Rank
AIFD Omega Ratio Rank: 6767
Omega Ratio Rank
AIFD Calmar Ratio Rank: 7474
Calmar Ratio Rank
AIFD Martin Ratio Rank: 8181
Martin Ratio Rank

SMH
SMH Risk / Return Rank: 8888
Overall Rank
SMH Sharpe Ratio Rank: 9292
Sharpe Ratio Rank
SMH Sortino Ratio Rank: 8484
Sortino Ratio Rank
SMH Omega Ratio Rank: 8585
Omega Ratio Rank
SMH Calmar Ratio Rank: 8989
Calmar Ratio Rank
SMH Martin Ratio Rank: 9191
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

AIFD vs. SMH - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for TCW Artificial Intelligence ETF (AIFD) 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.

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.


AIFDSMHDifference
Sharpe ratioReturn per unit of total volatility

-0.69

Sortino ratioReturn per unit of downside risk

-0.56

Omega ratioGain probability vs. loss probability

1.28

1.37

-0.09

Calmar ratioReturn relative to maximum drawdown

2.60

3.79

-1.19

Martin ratioReturn relative to average drawdown

10.64

15.18

-4.55

AIFD vs. SMH - Sharpe Ratio Comparison

The current AIFD Sharpe Ratio is 1.73, which is comparable to the SMH Sharpe Ratio of 2.43. The chart below compares the historical Sharpe Ratios of AIFD 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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Drawdowns

AIFD vs. SMH - Drawdown Comparison

The maximum AIFD drawdown since its inception was -33.20%, smaller than the maximum SMH drawdown of -84.96%. Use the drawdown chart below to compare losses from any high point for AIFD and SMH.


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Drawdown Indicators


AIFDSMHDifference

Max Drawdown

Largest peak-to-trough decline

-33.20%

-84.96%

+51.76%

Max Drawdown (1Y)

Largest decline over 1 year

-20.22%

-24.62%

+4.40%

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

-14.44%

-18.46%

+4.02%

Average Drawdown

Average peak-to-trough decline

-5.98%

-40.89%

+34.91%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.93%

6.13%

-1.20%

Volatility

AIFD vs. SMH - Volatility Comparison

The current volatility for TCW Artificial Intelligence ETF (AIFD) is 11.69%, while VanEck Semiconductor ETF (SMH) has a volatility of 14.15%. This indicates that AIFD 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


AIFDSMHDifference

Volatility (1M)

Calculated over the trailing 1-month period

11.69%

14.15%

-2.46%

Volatility (6M)

Calculated over the trailing 6-month period

25.06%

32.94%

-7.88%

Volatility (1Y)

Calculated over the trailing 1-year period

30.35%

38.50%

-8.15%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

30.57%

36.51%

-5.94%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

30.57%

33.33%

-2.76%

AIFD vs. SMH - Expense Ratio Comparison

AIFD has a 0.75% expense ratio, which is higher than SMH's 0.35% expense ratio.


Dividends

AIFD vs. SMH - Dividend Comparison

AIFD has not paid dividends to shareholders, while SMH's dividend yield for the trailing twelve months is around 0.20%.


PositionTTM20252024202320222021202020192018201720162015
AIFD
TCW Artificial Intelligence ETF
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SMH
VanEck Semiconductor ETF
0.20%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


AIFD and SMH have a correlation of 0.86, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SMH has higher volatility (14.15%) compared to AIFD (11.69%). In terms of maximum drawdown, AIFD dropped -33.20% vs SMH's -84.96%.

On 1-year performance, SMH leads with 92.69% vs 55.82% for AIFD. On fees, SMH is cheaper at 0.35% per year. On volatility, AIFD has been the lower-risk option at 11.69%. 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 92.69% return vs 55.82%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SMH is cheaper with a 0.35% expense ratio, compared with 0.75% for AIFD.

SMH has the higher dividend yield at 0.20%, compared with 0.00% for AIFD.

AIFD is categorized as Artificial Intelligence, while SMH is Semiconductors. They also come from different issuers: TCW and VanEck. Their fees differ too: 0.75% for AIFD and 0.35% for SMH.

SMH currently has the higher Sharpe Ratio (2.43 vs 1.73), 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 AIFD 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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