BUFD yields 7.14% · JEPI yields 8.56%● Live data
📍 BUFD pulled ahead of the other in Year 1
Combined, BUFD + JEPI cover 0 of 12 months — good coverage
Which stock is actually better after tax? Adjust your rate to find out.
What's the optimal mix of BUFD + JEPI for your $10,000?
The investment objective of the FT Vest Laddered Deep Buffer ETF is to seek to provide investors with capital appreciation. The Fund seeks to achieve its investment objective by providing investors with US large cap equity market exposure while limiting downside risk through a laddered portfolio of twelve FT Vest U.S. Equity Deep Buffer ETFs ("Underlying ETFs"). Under normal market conditions the Fund will invest substantially all of its assets in the Underlying ETFs, which seek to provide investors with returns (before fees, expenses and taxes) that match the price return of the SPDR S&P 500 ETF Trust ("SPY"), up to a predetermined upside cap, while providing a buffer against losses between -5% and -30% (before fees, expenses and taxes) of SPY, over a defined one-year period. Unlike the Underlying ETFs the Fund itself does not pursue a defined outcome strategy. The buffer is only provided by the Underlying ETFs and the Fund itself does not provide any stated buffer against losses. In order to understand the Fund's strategy and risks, it is important to understand the strategies and risks of the Underlying ETFs.
Full BUFD Calculator →The fund seeks to provide the majority of the returns associated with its primary benchmark, the Standard & Poor's 500 Total Return Index (S&P 500 Index), while exposing investors to less risk through lower volatility and still offering incremental income. Under normal circumstances, the fund invests at least 80% of its assets in equity securities. It may also invest in other equity securities not included in the S&P 500 Index.
Full JEPI 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.