Snapshot*
Top 10 Holdings
What is SMOG?
VanEck Low Carbon Energy ETF (SMOG) seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the MVIS Global Low Carbon Energy Index (MVSMOGTR). The index is a rules based index intended to track the overall performance of renewable energy companies which may include, but is not limited to: wind, solar, hydro, hydrogen, bio-fuel or geothermal technology, lithium-ion batteries, electric vehicles and related equipment, waste-to-energy production, smart grid technologies, or building or industrial materials that reduce carbon emissions or energy consumption.
SMOGPerformance Measures**
for the time period May 9, 2007 to Aug 5, 2026
1M Trailing Return: -4.7%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: -10.8%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -84.4%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 31.9%
The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.
Sharpe Ratio: 0.21
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: 0.02
The annualized return divided by the max drawdown for the selected time period.
ETFs related toSMOG
ETFs correlated to SMOG include ERTH, QCLN, ACES
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 toSMOG
AutoSignals | (TQQQ or SH? Edition)
Category
Trend-following, momentum, tactical allocation, risk-on/risk-off, leveraged ETFs
OOS Cumulative Return
13.61%
AS Domestic
Category
Trend-following, tactical allocation, leveraged ETFs, sector rotation, risk-on/risk-off, volatility hedging, US equities
OOS Cumulative Return
1.98%
Create your own algorithmic trading strategy with SMOG using Composer
FAQ
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.