Hart & Patterson Financial Group LLC Lowers Stock Holdings in SEI Enhanced Low Volatility U.S. Large Cap ETF (BATS:SELV)

Hart & Patterson Financial Group LLC lessened its position in SEI Enhanced Low Volatility U.S. Large Cap ETF (BATS:SELV) by 4.5% during the 4th quarter, according to its most recent filing with the Securities and Exchange Commission. The firm owned 33,027 shares of the company’s stock after selling 1,540 shares during the quarter. Hart & Patterson Financial Group LLC owned approximately 0.72% of SEI Enhanced Low Volatility U.S. Large Cap ETF worth $962,000 at the end of the most recent reporting period.

Other hedge funds and other institutional investors also recently bought and sold shares of the company. AdvisorNet Financial Inc grew its position in shares of SEI Enhanced Low Volatility U.S. Large Cap ETF by 647.6% during the fourth quarter. AdvisorNet Financial Inc now owns 1,099 shares of the company’s stock worth $32,000 after buying an additional 952 shares in the last quarter. CWM LLC purchased a new position in SEI Enhanced Low Volatility U.S. Large Cap ETF during the 3rd quarter worth $61,000. Finally, Wealth Enhancement Advisory Services LLC raised its holdings in shares of SEI Enhanced Low Volatility U.S. Large Cap ETF by 9.1% in the third quarter. Wealth Enhancement Advisory Services LLC now owns 25,487 shares of the company’s stock valued at $756,000 after buying an additional 2,116 shares during the last quarter.

SEI Enhanced Low Volatility U.S. Large Cap ETF Price Performance

Shares of SELV stock opened at $28.76 on Tuesday. The firm has a market cap of $132.30 million, a PE ratio of 19.13 and a beta of 0.56. The firm has a 50-day moving average of $29.94 and a 200-day moving average of $29.16.

SEI Enhanced Low Volatility U.S. Large Cap ETF Company Profile

The SEI Large Cap Low Volatility Factor ETF (SELV) is an exchange-traded fund that mostly invests in large cap equity. The fund is an actively managed fund of large-cap US companies, seeking to achieve low volatility. Selection is based on a factor scoring model, a risk model and an optimization process.