VictoryShares US Multi-Factor Minimum Volatility ETF (NASDAQ:VSMV – Get Free Report) saw a large decrease in short interest in the month of December. As of December 31st, there was short interest totalling 400 shares, a decrease of 42.9% from the December 15th total of 700 shares. Based on an average daily volume of 12,900 shares, the days-to-cover ratio is currently 0.0 days.
Institutional Investors Weigh In On VictoryShares US Multi-Factor Minimum Volatility ETF
A number of large investors have recently modified their holdings of the company. Tower Wealth Partners Inc. lifted its position in shares of VictoryShares US Multi-Factor Minimum Volatility ETF by 2.3% during the 2nd quarter. Tower Wealth Partners Inc. now owns 405,459 shares of the company’s stock worth $18,424,000 after purchasing an additional 8,973 shares during the last quarter. Jane Street Group LLC acquired a new stake in VictoryShares US Multi-Factor Minimum Volatility ETF in the third quarter valued at $324,000. Finally, Lindenwold Advisors INC lifted its holdings in VictoryShares US Multi-Factor Minimum Volatility ETF by 5.2% during the 3rd quarter. Lindenwold Advisors INC now owns 5,548 shares of the company’s stock worth $270,000 after buying an additional 275 shares during the last quarter.
VictoryShares US Multi-Factor Minimum Volatility ETF Stock Performance
Shares of VSMV opened at $48.64 on Thursday. The stock has a 50-day simple moving average of $49.19 and a 200-day simple moving average of $48.07. VictoryShares US Multi-Factor Minimum Volatility ETF has a 1 year low of $42.00 and a 1 year high of $50.71. The stock has a market capitalization of $111.87 million, a PE ratio of 18.68 and a beta of 0.79.
VictoryShares US Multi-Factor Minimum Volatility ETF Cuts Dividend
VictoryShares US Multi-Factor Minimum Volatility ETF Company Profile
The VictoryShares US Multi-Factor Minimum Volatility ETF (VSMV) is an exchange-traded fund that mostly invests in total market equity. The fund tracks an index of large- and mid-cap US stocks, selected and weighted based on multiple factors. ETF optimization and constraints are used in order to minimize volatility.
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