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VanEck Semiconductor ETF

SMH
$
Today’s Change
()

Snapshot
*

Inception Date
Dec 20, 2011
Expense Ratio
0.35%
Type
Global Equities
Fund Owner
Van Eck Associates Corporation
Volume (1m avg. daily)
$1,105,608,489
AUM
$9,373,983,595
Associated Index
MVIS US Listed Semiconductor 25 Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus

Top 10 Holdings

NVDA
NVIDIA Corp
19.3%
TSM
Taiwan Semiconductor Manufacturing - ADR
12.69%
AVGO
Broadcom Inc
6.65%
ASML
ASML Holding NV - New York Shares
5.83%
AMD
Advanced Micro Devices Inc.
4.8%
TXN
Texas Instruments Inc.
4.68%
QCOM
Qualcomm, Inc.
4.61%
INTC
Intel Corp.
4.54%
AMAT
Applied Materials Inc.
4.37%
ADI
Analog Devices Inc.
4.31%

What is SMH?

The Market Semiconductor ETF (SMH) seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the MVIS US Listed Semiconductor 25 Index. The Index is a rules-based index intended to track the overall performance of 25 of the largest U.S. listed, publicly traded semiconductor companies.

1M
3M
6M
YTD
1Y
3Y
Max

SMH
Performance Measures**

for the time period Dec 20, 2011 to Dec 15, 2025

Returns

1M Trailing Return: 3.7%

The percent change in the value over the most recent 1-month period.

3M Trailing Return: 14.9%

The percent change in the value over the most recent 3-month period.

Measures of Risk or Volatility

Max Drawdown: -45.3%

The greatest percent loss from peak to trough in value over the time period.

Standard Deviation: 29.0%

The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

Measures of Risk-Adjusted Performance

Sharpe Ratio: 0.96

The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.

Calmar Ratio: 0.59

The annualized return divided by the max drawdown for the selected time period.

ETFs related toSMH

ETFs correlated to SMH include SOXX, SOXL, SOXQ

SMH
VanEck ETF Trust - VanEck Semiconductor ETF
SOXX
BlackRock Institutional Trust Company N.A. - iShares Semiconductor ETF
SOXL
Direxion Shares ETF Trust - Direxion Daily Semiconductor Bull 3X Shares
SOXQ
Invesco Exchange-Traded Fund Trust II - Invesco PHLX Semiconductor ETF
USD
ProShares Trust - ProShares Ultra Semiconductors 2X Shares
PSI
Invesco Capital Management LLC - Invesco Semiconductors ETF
FTXL
First Trust Exchange-Traded Fund III - First Trust Nasdaq Semiconductor ETF
XSD
SPDR Series Trust - SPDR Semiconductors ETF
QTUM
ETF Series Solutions Trust - Defiance Quantum ETF
QTEC
First Trust Exchange-Traded Fund III - First Trust NASDAQ-100 Technology Sector Index Fund
RSPT
Invesco Capital Management LLC - Invesco S&P 500 Equal Weight Technology ETF

What is ETF correlation?

Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.

Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.

Using ETF correlations in portfolio and strategy construction

ETF correlations can help you create investing strategies and portfolios. Use them to:

  • Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
  • Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
  • Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.

Trading Strategies
Related toSMH

SOXX Group

Category

Semiconductors, Leveraged ETFs, Tactical, Volatility-aware, Mean-reversion, Momentum, Risk-managed

OOS Cumulative Return

1364.65%

TQQQ FTLT w/Sideways Market Mods (FINAL)

Category

Leveraged ETFs, trend-following, mean reversion, volatility hedge, crash protection, tactical, daily rebalance, tech-heavy, semiconductors

OOS Cumulative Return

543.36%

Create your own algorithmic trading strategy with SMH using Composer

FAQ

SMH is a Global Equities ETF. The Market Semiconductor ETF (SMH) seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the MVIS US Listed Semiconductor 25 Index. The Index is a rules-based index intended to track the overall performance of 25 of the largest U.S. listed, publicly traded semiconductor companies.

SMH tracks the MVIS US Listed Semiconductor 25 Index.

No, SMH is not actively managed. It is passively managed. In an actively managed fund, the fund manager makes decisions about how funds are invested. A passively managed fund typically tries to track or follow a market index.

Yes, SMH is passively managed. A passively managed fund typically tries to track or follow a market index. In an actively managed fund, the fund manager makes decisions about how funds are invested.

The 1-month return on SMH is -0.0394%. This is the percent change in the value of SMH over the most recent 1-month period. The 3-month return on SMH is -0.0265%. This is the percent change in the value of SMH over the most recent 3-month period.

The standard deviation of SMH for the past year is 0.3333%. Standard deviation is the typical amount that the daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

ETFs similar to SMH include IXN, IXJ, and URA.

ETFs correlated to SMH include SOXX, SOXL, and SOXQ.

ETFs that are inversely correlated to SMH include SOXS, TECS, and BERZ.

Disclaimers

*

We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.

**

We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.