PortfolioFuture launched an investment research platform designed to help financial advisors and investors discover stronger ETF and mutual fund alternatives and evaluate whether historical investment relationships persist out of sample.

PortfolioFuture analyzes funds based on their realized return behavior rather than relying primarily on categories, benchmarks, or fund labels. Its Better Alternative Score (BAS) combines return similarity with evidence of historical relative performance to identify funds that may warrant closer consideration. 

The platform’s research finds that higher BAS is associated with greater out-of-sample return similarity, lower tracking error, and stronger subsequent relative performance, providing a framework for evaluating whether an apparent fund alternative remains meaningful beyond the historical estimation period. 

PortfolioFuture also provides fund replication analysis, decomposing a fund’s return history into an investable replication portfolio and residual return. The research examines whether replication quality persists and whether historical residual performance contains information about future outcomes. 

“The question isn’t simply whether two funds looked similar in the past,” said Vince (Qijun) Chen, CFA, Founder of PortfolioFuture. “The more important question is whether the relationship contains information that remains useful going forward.”

PortfolioFuture currently covers ETFs and mutual funds across three primary research workflows: Better Alternatives, Fund Replication, and PortfolioFuture Decision. Its methodology is based on realized returns, empirical testing, and out-of-sample validation