Uncapped with Jack AltmanInside the Mind of a University Endowment Manager | Dan Feder, University of Michigan | Ep. 14
Jack Altman and Dan Feder on dan Feder explains how endowments choose managers and venture exposure.
In this episode of Uncapped with Jack Altman, featuring Dan Feder and Jack Altman, Inside the Mind of a University Endowment Manager | Dan Feder, University of Michigan | Ep. 14 explores dan Feder explains how endowments choose managers and venture exposure Feder frames endowment management as serving thousands of underlying endowments, with core goals of supporting steady spending, keeping up with inflation, and preserving intergenerational equity.
At a glance
WHAT IT’S REALLY ABOUT
Dan Feder explains how endowments choose managers and venture exposure
- Feder frames endowment management as serving thousands of underlying endowments, with core goals of supporting steady spending, keeping up with inflation, and preserving intergenerational equity.
- He distinguishes asset allocation (a largely risk/volatility-based, backward-looking optimization) from true investing—especially in venture, where the edge comes from uncertainty and “unknown unknowns,” not measurable risk.
- Feder argues venture shouldn’t be treated as a clean “asset class,” and proposes separating “adventure capital” (uncertain, ambitious work) from routine “capital for ventures” (later-stage financing).
- He discusses how career-path incentives and herd dynamics push LPs toward short-term, narrative-driven decisions, and outlines Michigan’s investing framework based on institutional advantages: access, time horizon, and occasional ability to influence outcomes.
IDEAS WORTH REMEMBERING
5 ideasEndowments are mutual-fund-like pools, not a single monolith.
Michigan’s endowment pool aggregates ~13,000 individual endowments; each holds “units” in the pool, while the pool targets stable long-term support for many distinct programs.
The endowment mandate implies an equity orientation.
To fund ~4–5% annual spending plus higher-ed inflation with tolerable volatility “forever,” a liquid baseline often starts with public equities, then diversifies into other return streams to manage risk.
Asset allocation is a risk-based, behaviorally useful constraint—especially in venture.
Mean-variance style allocation uses historical correlations/volatility to set guardrails, helping prevent overconfidence from driving too much (or too little) exposure to highly narrative asset classes.
Venture’s durable edge comes from uncertainty, not measurable risk.
Feder draws on Frank Knight: risk is probabilistic/knowable, while uncertainty contains “unknown unknowns.” Venture can earn persistent economic profit when investing on information/opportunity others can’t see or can’t yet validate.
“Venture capital” blends two different activities that should be separated conceptually.
Feder suggests distinguishing “adventure capital” (truly ambitious, not-knowable paths) from “capital for ventures” (needed financing for companies that are no longer adventurous). The former better matches endowment advantages and long horizons.
WORDS WORTH SAVING
5 quotes“I’d rather hire somebody with a fast processor than a full hard drive.”
— Dan Feder
“Things that are not known or not knowable is the realm of uncertainty, and that is where I think venture capital has its real power.”
— Dan Feder
“The notion that venture capital is an asset class in the first place bothers me because I don’t think it is.”
— Dan Feder
“In investing, you don’t have to be right about everything. You just have to be right enough about the things that matter.”
— Dan Feder
“LPs love a good story, and GPs love to tell a good story.”
— Dan Feder
QUESTIONS ANSWERED IN THIS EPISODE
5 questionsHow does Michigan translate the “8-ish percent nominal forever” target into concrete rebalancing rules during drawdowns or frothy markets?
Feder frames endowment management as serving thousands of underlying endowments, with core goals of supporting steady spending, keeping up with inflation, and preserving intergenerational equity.
Can you give a specific example of an “unknown unknown” investment where your informational edge (or network) clearly mattered?
He distinguishes asset allocation (a largely risk/volatility-based, backward-looking optimization) from true investing—especially in venture, where the edge comes from uncertainty and “unknown unknowns,” not measurable risk.
In practice, how do you distinguish “adventure capital” from “capital for ventures” when a company is scaling but still doing technically ambitious work?
Feder argues venture shouldn’t be treated as a clean “asset class,” and proposes separating “adventure capital” (uncertain, ambitious work) from routine “capital for ventures” (later-stage financing).
What are the most common ways LP career incentives distort venture manager selection—and how do you design roles/comp to counteract that?
He discusses how career-path incentives and herd dynamics push LPs toward short-term, narrative-driven decisions, and outlines Michigan’s investing framework based on institutional advantages: access, time horizon, and occasional ability to influence outcomes.
You mentioned using only introductions and qualified referrals—how do you avoid missing emerging managers outside the established network graph?
Chapter Breakdown
From lawyer to endowment investor: accidental entry and “fast processor” hiring philosophy
Dan Feder recounts how he stumbled into endowment management after starting as a lawyer, landing at Princeton through a chain of introductions (including Dave Swensen and Andy Golden). He explains how being hired without the “perfect spec” shaped his views on talent, learning speed, and long-horizon investing.
What an endowment actually is: an endowment pool serving thousands of sub-endowments
Feder clarifies that a university endowment is typically a pooled structure—more like a mutual fund—made up of many individual endowments with specific purposes. He outlines the endowment’s core objectives: fund spending, preserve purchasing power, and generate real returns with intergenerational equity.
Zero-based portfolio construction: why equity orientation is the starting point
Starting from a hypothetical fully liquid portfolio, Dan explains why endowments usually need meaningful equity exposure to target roughly ~8% nominal returns over the long run. He then describes how diversification across asset classes is used to manage volatility while pursuing required returns.
Allocation vs investing: risk-based optimization and behavioral guardrails
Feder separates asset allocation (risk-based, model-driven) from security/manager selection (active investing). He argues allocation frameworks (e.g., mean-variance optimization) are useful not only mathematically but behaviorally, preventing overconfidence and overcommitment—especially in venture.
Risk vs uncertainty: why venture’s edge lives in the “unknown unknowns”
Drawing on Frank Knight and the Rumsfeld taxonomy, Dan argues venture capital’s true power is in uncertainty—things not known or not knowable—rather than measurable risk. Durable alpha comes from accessing non-obvious founders and problems before markets can efficiently price them.
Reframing venture: “adventure capital” vs financing mature ventures
Dan challenges the idea that venture is a coherent “asset class,” suggesting it contains at least two different activities: adventure capital (ambitious, uncertain, frontier work) and capital for ventures (more conventional financing). This framing de-emphasizes stage labels and spotlights where endowments may have the strongest fit.
LP incentives and team design: career paths, short-term metrics, and input vs outcome focus
Feder explains how endowment management professionalized over 25 years, creating clearer career ladders—but also more short-term performance signaling. He contrasts outcome-driven behavior (marks, visible near-term wins) with input-driven compounding (patient learning, relationship-building, idea incubation).
Backing strategies that disagree: concentrated relationship roster and complementary exposures
As an LP, Dan describes living with constant cognitive dissonance—funds he backs can have opposing philosophies. He argues you don’t need to be right about everything; instead, a resilient endowment portfolio benefits from a constrained set of relationships chosen for distinct, complementary return drivers.
Why invest in venture at all: social pressure, narrative power, and dispersion of returns
Dan gives an unusually candid answer: many LPs invest in venture partly because they’re expected to. He emphasizes that venture can be excellent only if you access the handful of companies/managers that drive outcomes—yet overconfidence and compelling GP storytelling can seduce allocators.
Michigan’s endowment framework: five buckets, but a shifting playbook
Feder outlines Michigan’s conventional top-level structure (cash/fixed income, public equities, absolute return, real assets, venture/PE). He argues “best practices” are changing because alternatives are no longer alternative, LP talent is deeper, and simplistic recipes no longer deliver durable advantage.
Endowment-specific advantages: access, time horizon, and occasional ability to influence outcomes
Dan explains how Michigan evaluates uncertain/illiquid investing through three institutional advantages: access (information/people/opportunities), long time horizon, and occasional capacity to change outcomes via relationships. He emphasizes each institution must tailor activity level (active vs passive) to its unique positioning.
Individuals vs firms: maximizing exposure to the true sources of productivity
Feder argues the end goal isn’t to “own” firms but to gain exposure to exceptional underlying companies through exceptional investors. He discusses the difficulty of separating an investor’s individual edge from a firm’s franchise—and how this affects whether to back platforms or specific people.
Big vs small funds: fund size as symptom, not cause—and the importance of being in the conversation
Dan resists simplistic “big fund bad” takes, noting size can either dilute quality or enable ambitious strategies (including leading rounds and supporting winners). He says the LP’s role is to engage deeply—help pressure-test uncomfortable but correct decisions—rather than dictate one-size-fits-all rules.
How Michigan picks managers: referral-driven sourcing, a five-part manager job, and resisting “taste” shortcuts
Feder describes a highly filtered sourcing process based on introductions and trusted networks, not broad market coverage. He evaluates managers by whether they can source, transact, own, exit, and run the firm without harming the first four—and cautions against hand-wavy “taste” as a substitute for rigorous slow thinking.
Herd mentality in LP land: wisdom of crowds, perimeter thinkers, and crisis vulnerability
Dan acknowledges that herds can be right, but warns that relying on the herd leaves weaker allocators exposed when regimes change. He advocates being an independent thinker near the perimeter—capable of acting decisively when the herd structure breaks—illustrated by a safari story about predators and herd dynamics.
EVERY SPOKEN WORD
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