VictoryShares US Multi-Factor Minimum Volatility ETF (NASDAQ:VSMV – Get Free Report) was the recipient of a significant growth in short interest during the month of January. As of January 15th, there was short interest totalling 2,100 shares, a growth of 425.0% from the December 31st total of 400 shares. Based on an average daily volume of 11,700 shares, the short-interest ratio is currently 0.2 days.
Hedge Funds Weigh In On VictoryShares US Multi-Factor Minimum Volatility ETF
A hedge fund recently raised its stake in VictoryShares US Multi-Factor Minimum Volatility ETF stock. Lindenwold Advisors INC grew its position in shares of VictoryShares US Multi-Factor Minimum Volatility ETF (NASDAQ:VSMV – Free Report) by 5.2% during the third quarter, according to the company in its most recent 13F filing with the Securities & Exchange Commission. The fund owned 5,548 shares of the company’s stock after buying an additional 275 shares during the period. Lindenwold Advisors INC owned about 0.21% of VictoryShares US Multi-Factor Minimum Volatility ETF worth $270,000 as of its most recent SEC filing.
VictoryShares US Multi-Factor Minimum Volatility ETF Stock Performance
Shares of VSMV stock traded down $0.02 during mid-day trading on Thursday, reaching $49.38. 5,325 shares of the company were exchanged, compared to its average volume of 10,210. The business’s 50 day simple moving average is $49.12 and its 200 day simple moving average is $48.30. The company has a market capitalization of $113.57 million, a P/E ratio of 18.68 and a beta of 0.79. VictoryShares US Multi-Factor Minimum Volatility ETF has a fifty-two week low of $42.82 and a fifty-two week high of $50.71.
VictoryShares US Multi-Factor Minimum Volatility ETF Cuts Dividend
About VictoryShares US Multi-Factor Minimum Volatility ETF
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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