Tower Wealth Partners Inc. Sells 814 Shares of VictoryShares US Multi-Factor Minimum Volatility ETF (NASDAQ:VSMV)

Tower Wealth Partners Inc. lowered its position in VictoryShares US Multi-Factor Minimum Volatility ETF (NASDAQ:VSMV) by 0.2% during the third quarter, according to its most recent filing with the SEC. The firm owned 404,645 shares of the company’s stock after selling 814 shares during the period. VictoryShares US Multi-Factor Minimum Volatility ETF accounts for approximately 11.4% of Tower Wealth Partners Inc.’s portfolio, making the stock its largest position. Tower Wealth Partners Inc. owned 0.15% of VictoryShares US Multi-Factor Minimum Volatility ETF worth $19,658,000 at the end of the most recent reporting period.

Separately, Cetera Advisors LLC acquired a new position in shares of VictoryShares US Multi-Factor Minimum Volatility ETF in the 1st quarter valued at about $260,000.

VictoryShares US Multi-Factor Minimum Volatility ETF Price Performance

NASDAQ VSMV opened at $47.84 on Friday. The stock has a market capitalization of $129.17 million, a P/E ratio of 18.68 and a beta of 0.79. The business has a 50 day simple moving average of $48.15 and a 200 day simple moving average of $46.32. VictoryShares US Multi-Factor Minimum Volatility ETF has a one year low of $39.49 and a one year high of $49.20.

VictoryShares US Multi-Factor Minimum Volatility ETF Cuts Dividend

The business also recently disclosed a monthly dividend, which was paid on Wednesday, October 9th. Stockholders of record on Tuesday, October 8th were given a dividend of $0.0482 per share. This represents a $0.58 annualized dividend and a dividend yield of 1.21%. The ex-dividend date was Tuesday, October 8th.

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.