OMFL yields 0.86% · SPHD yields 4.33%● Live data
📍 SPHD pulled ahead of the other in Year 1
Combined, OMFL + SPHD cover 0 of 12 months — good coverage
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What's the optimal mix of OMFL + SPHD for your $10,000?
The Invesco Russell 1000 Dynamic Multifactor ETF (Fund) is based on the Russell 1000 Invesco Dynamic Multifactor Index (Index). The Fund will invest at least 80% of its total assets in the securities that comprise the Index. The Index is constructed using a rules-based approach that re-weights large-cap securities of the Russell 1000 Index according to economic cycles and market conditions, reflected by expansion, slowdown, contraction or recovery. The securities are assigned a multi-factor score from one of five investment styles: value, momentum, quality, low volatility and size. The Fund and Index are reconstituted and rebalanced based on economic indicator signal changes, as frequently as monthly.For Illustrative Purposes Only and does not constitute a recommendation of the suitability of any investment strategy for a particular investor. Factor investing is an investment strategy in which securities are chosen based on certain characteristics and attributes that may explain differences in returns. Factor investing may underperform cap-weighted benchmarks and increase portfolio risk.
Full OMFL Calculator →The Invesco S&P 500 High Dividend Low Volatility ETF (Fund) is based on the S&P 500 Low Volatility High Dividend Index (Index). The Fund will invest at least 90% of its total assets in common stocks that comprise the Index. Standard & Poor's compiles, maintains and calculates the Index, which is composed of 50 securities traded on the S&P 500 Index that historically have provided high dividend yields and low volatility. The Fund and the Index are rebalanced and reconstituted semi-annually, in January and July.
Full SPHD Calculator →Save your analysis + weekly dividend insights. Free forever.
⚠️ Educational purposes only. Not financial advice. Congressional trades sourced from SEC STOCK Act filings via FMP. Past performance does not guarantee future results.