A smoother investing experience

Mackenzie US Low Volatility ETF

Low volatility: Helping investors stay invested

For investors who want to be fully invested across market cycles, low-volatility investing can give them more confidence to remain focused on their long-term investment objectives and reduce the temptation of market timing.

Advisor feature page

Low volatility ETFs offer less volatile exposure to equities, using an actively managed quantitative strategy.

MULV

Asset Class US Equity

Why invest in this fund?

  • Helps investors stay invested by aiming to reduce the impact of volatility, which has become a persistent trend in equity markets.
  • The ETF can serve as a core holding, offering capital appreciation potential while aiming to reduce overall portfolio volatility.
  • Provides access to the experienced active investment process of the Mackenzie’s Global Quantitative Equity Team within a low volatility strategy, at a competitive price.

Key Facts

ETF Characteristics

Performance

End value as of

Loading

Fund performance is not available for funds with a history of less than one calendar year (January 1-December 31).
Chart
Line chart with 2 lines.
The chart has 1 X axis displaying Time. Range: to .
The chart has 1 Y axis displaying values. Range: to .
End of interactive chart.

Compound Annual Performance

As of

Fund NAV % Fund Market % Index %*
Fund NAV % Fund Market % Index %*
Index %*
Index %*
Fund performance is not available for funds with a history of less than one year.

Calendar Year Returns %

As of

Chart
Empty chart
End of interactive chart.

Portfolio

Information is not currently available for this fund.
Major holdings represent 0.00% of the fund as of April 7, 2025

Major Holdings

-%

Allocations

Maturity

Historical Data

Loading...

Investment Teams

Mackenzie Global Quantitative Equity Team

The Mackenzie Global Quantitative Equity Team has a strong track record of managing several investment options in long-only, long-short, extension and low-volatility strategies across regions, using a quantitative approach that combines robust research and strong risk management to enhance investment decision-making.