VictoryShares US Multi-Factor Minimum Volatility ETF (NASDAQ:VSMV – Get Free Report) was the recipient of a significant drop in short interest in the month of December. As of December 15th, there was short interest totalling 700 shares, a drop of 82.1% from the November 30th total of 3,900 shares. Based on an average daily volume of 12,700 shares, the short-interest ratio is presently 0.1 days.
Institutional Inflows and Outflows
A number of institutional investors have recently added to or reduced their stakes in the company. Tower Wealth Partners Inc. raised its holdings in shares of VictoryShares US Multi-Factor Minimum Volatility ETF by 2.3% in the 2nd quarter. Tower Wealth Partners Inc. now owns 405,459 shares of the company’s stock valued at $18,424,000 after purchasing an additional 8,973 shares in 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 Price Performance
VSMV opened at $48.55 on Friday. The business has a fifty day moving average price of $49.26 and a 200 day moving average price of $47.80. VictoryShares US Multi-Factor Minimum Volatility ETF has a 12 month low of $41.80 and a 12 month high of $50.71. The stock has a market capitalization of $131.09 million, a price-to-earnings ratio of 18.68 and a beta of 0.79.
VictoryShares US Multi-Factor Minimum Volatility ETF Dividend Announcement
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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