Sparkline scores every fund on five composite factors built from underlying holdings. This page describes how those scores are constructed.
Each fund's score is the holdings-weighted aggregate of its underlying companies' scores, ranked within the clean equity fund universe (one entry per fund series); 0 = lowest, 100 = highest, and the middle of the range is denser than the ends.
Sparkline Capital is an investment management firm applying state-of-the-art machine learning and computing to uncover alpha in large, unstructured data sets. Much of our research concerns “intangible value” — the idea that a company's intellectual property, brand equity, human capital, and network effects drive real economic value while remaining largely absent from its balance sheet, and therefore from traditional value measures.
The factor framework described here aims to address that limitation, drawing on dozens of research papers published in full on Sparkline's website.
Read the published research(opens sparklinecapital.com in a new tab)
Our data is not applicable to all funds. Below are cases where funds fall outside our coverage universe.
Every fund is placed in three nested tiers. A fund is ranked against its peer group where that group has enough members to be meaningful, and against a broader tier where it does not.
The narrowest tier, and the default pool for percentile ranks
The middle tier, which only applies to diversified equity funds (i.e. excludes leveraged, inverse, derivative, and sector funds)
The broadest tier