Fee Benchmarking demo
Answers peer fund fee questions for product and board teams, cited to each prospectus fee table 1:33
What the demo shows
Answers peer fund fee questions for product and board teams, cited to each prospectus fee table
A question box over a ranked peer-fee ladder. A product manager asks where one active small-cap ETF sits against its peers; the Planner shows its plan, the Peer builder picks peers by what each fund holds and says it does, the Fee reader reads each fee table and KID in its own language and the holdings files, the Normalizer takes transaction costs out of a European KID and flags waivers about to end, and the Checker reads every figure a second time on a different model. Each rung shows net, gross, the waiver and its end date, cited to its line. The Peer challenger argues with the group: drop a quasi-index fund, add a recent launch, remove a US-heavy fund. The product manager accepts or rejects each change with a reason and sends the answer, and a Pricing Committee member approves it as a fee position with their name on it. The Pack writer carries it into the next 15(c) book, where the Fund Treasurer signs the section, and the Watch agent keeps it current every night.
Transcript
- Fee Benchmarking answers peer fee questions for product and board teams, cited to each fee table.
- Fees keep falling. Equity funds averaged 0.4% last year.
- Arrival cut its fee, so Tomas asks where Quillfield's ETF stands.
- Agents pick peers by holdings, read 41 documents, and cite every rung to its line.
- Two waivers end in April, and a German kid, sits beside the English.
- A challenger agent flags an index-like fund and a new launch.
- Tomas agrees. He rejects one with a reason.
- The median settles at 0.85%.
- He sends it. As the maker, he can never approve it.
- Nadia, head of pricing, approves it as a dated fee position with her name.
- Cited, read twice, signed and logged, it flows into the December board book.
- The result, six basis points below the median, and each basis point is worth $142,000 a year.
- Built on Botminds: agents, data, screens, and governance on one platform.
Transcribed from the film’s narration. Captions are on the player.