Wellesley College

3 statements across 1 episodes · 1 bullish · 0 bearish · 1 people on the record · first statement Aug 1, 2022 by Sarah Samuels · said 12 times in 3 episodes since 2019 · across every show →

Mentions by year

brought up most by Sarah Samuels (6), Ted Seides (3), Jean Hynes (3)

tap a year for its mentions
0051101201920202021202220232024episodesmentions
011201920202021202220232024episodes it came up in
0050.5101201920202021202220232024episodesmentions per episode

every mention, scene by scene, with the transcript →

Everything said about Wellesley College, oldest first

Aug 1, 2022 positive
Insight
Samuels: Generalist model works best for smaller investment offices
“We were generalists at Wellesley, which I think is a really good model. It works really well with smaller investment offices, and I learned a lot about how to think like a CIO and allocate capital across the liquidity spectrum and have perspectives on everythi…”
Sarah Samuels Aug 1, 2022 ▶ 13:41 Sarah Samuels – Framework and Rigor at NEPC (Capital Allocators, EP.264)
Aug 1, 2022 neutral
Assertion Supported
Samuels: MassPRIM and Wellesley shared 7% nominal return targets
“The return targets were pretty much the same for the public pension and the endowment, about seven percent nominal, but the investment approaches were really, really different.”
Sarah Samuels Aug 1, 2022 ▶ 13:07 Sarah Samuels – Framework and Rigor at NEPC (Capital Allocators, EP.264)
Aug 1, 2022
Assertion Supported
Samuels: Wellesley allocated two-thirds of portfolio to illiquid assets
“Two-thirds in less liquid, either private markets or hedge fund strategies, and the rest, a third or so in tradable.”
Sarah Samuels Aug 1, 2022 ▶ 13:22 Sarah Samuels – Framework and Rigor at NEPC (Capital Allocators, EP.264)
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 700 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.