Nov 26, 2018 · 1h 0m · capital-allocators
Mark Baumgartner – Luck, Risk and Uncertainty at the Institute for Advanced Study (Capital Allocators, EP.77)
0:00 / 0:00
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Ted Seides interviews Mark Baumgartner, Chief Investment Officer of the Institute for Advanced Study, exploring how his engineering background and extensive risk management experience shaped a unique endowment model designed to achieve median peer returns with half the risk.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 18.3% of the talking time here. How this is scored →
Ted as informed peer 4.5 Guest teaching 3.7 Guest disagreement 1.7 Ted pushing back 2.1
speaking balance: gold is Ted, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 30:20 Guest dismisses naive track-record extrapolation
Mark forcefully rejects the conventional allocator practice of judging managers on trailing 5-year performance, labeling it dangerous without environmental normalization.
Hardest push from Ted ▶ 40:08 Ted points out contradiction in risk expansion thesisTed directly calls out Mark's reasoning, asking why he would increase risk budgets right after emphasizing high uncertainty and an unusually benign cycle.
Biggest teaching moment ▶ 30:50 Applying fluid turbulence normalization to portfolio returnsMark explains how aerospace engineering methods for non-dimensionalizing turbulent systems apply directly to adjusting financial track records across varying market regimes.
Ted holds their own ▶ 35:10 Ted presses on when to abandon underperforming modelsTed uses his deep allocator knowledge to challenge Mark on the psychological and institutional difficulty of maintaining a low-beta portfolio during a multi-year equity bull market.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Ted as informed peer | Guest teaching | Guest disagreement | Ted pushing back | Why |
|---|---|---|---|---|---|---|
| Academic Journey: Aerospace Engineering to Management Consulting | 3 | 2 | 1 | 1 | Ted prompts Mark on his transition from aerospace engineering to management consulting. Mark gives an autobiographical narrative highlighting the role of luck and mentorship with Hamilton Helmer, keeping the tone collegial and reflective. | |
| Hedge Fund Experience: Strategy Capital and Quantal | 4 | 3 | 1 | 2 | Ted probes into Mark's early hedge fund experiences and why a fund led by prominent finance professors didn't scale further. Mark explains capacity constraints and market impact in high-frequency stat-arb strategies without friction. | |
| Morgan Stanley AIP and the Pioneer of Portable Alpha | 4 | 4 | 2 | 2 | Mark outlines Jack Coates' innovative portable alpha framework at Weyerhaeuser and Morgan Stanley AIP, noting how misunderstood and stigmatized portable alpha became post-2008. Ted asks clarifying structural questions about the synthetic portfolio. | |
| Managing Risk at the Ford Foundation Through the 2008 Crisis | 5 | 3 | 1 | 2 | Ted questions the strategic transition at Ford Foundation after the 2008 crash, pointing out that endowments were already equity-centric. Mark clarifies how they broadened the asset allocation away from plain public equity into diversified risk premia and alpha sources. | |
| Mandate at the Institute for Advanced Study: Median Return, Half Risk | 5 | 4 | 2 | 2 | Mark recounts receiving Jim Simons' specific mandate at IAS to achieve median peer returns with half the risk budget. Ted engages with informed curiosity about how to achieve an 8 percent target return without high equity beta or Medallion access. | |
| Historical Market Anomalies and Normalizing Performance Track Records | 4 | 5 | 3 | 2 | Mark delivers an educational breakdown on the anomaly of the recent 5-year bull market, warning allocators against naive track-record extrapolation and advocating for techniques from fluid dynamics to normalize performance data. | |
| Sponsor Message: Ridgeline Investment Management Platform | 6 | 4 | 2 | 4 | Following the sponsor read, Ted challenges Mark on whether failing to keep up with equity-heavy peers over 5 to 8 years indicates that the underlying model might be flawed. Mark defends his positioning by returning to first principles and pointing out a 2 percent maximum drawdown. | |
| Calibrating Risk Budgets and Evaluating Manager Edge | 6 | 4 | 2 | 4 | Ted directly highlights the apparent paradox in Mark's stance: warning of market uncertainty while simultaneously increasing risk budget into embedded equity betas. Mark explains how they model calibrated expected returns and search for alpha dispersion. | |
| Franchise Power in Private Equity and Multi-Dimensional Risk | 5 | 4 | 2 | 2 | Mark discusses economic moats and franchise power in private equity using Hamilton Helmer's framework, alongside multi-dimensional risk measurement beyond simple volatility. Ted asks how these differentiated metrics translate into concrete manager decisions. | |
| The Legacy and Intellectual Mission of the Institute for Advanced Study | 3 | 4 | 1 | 0 | Ted asks Mark to detail the institutional purpose of IAS. Mark passionately describes the Institute's heritage from Einstein to Flexner's philosophy of pursuing useful knowledge through foundational science. |
Statements from this episode (16)
Baumgartner: Weyerhaeuser Pension Outperformed Yale Endowment Over 20 Years
“And fast forward 20 years, that portfolio, which was levered two to one and used alternative investments, which in the eighties and nineties were something inconceivably risky to most, that portfolio outperformed Yale on a An absolute and a risk adjusted basis…”
Baumgartner: Unconventional Success Is Often Dismissed As Reckless Or Lucky
“The worst thing is to be different and fail, but the next worst thing is to be different and succeed because then you are a cowboy or your risk take, or you're just lucky”
Baumgartner: Ford Foundation shifted $8B of $10B into new strategies post-2008
“And then what we did over the next five years was to shift that portfolio more toward an endowment like portfolio. We built out the investment team there. We shifted probably eight of the ten billion at that point into different strategies or different manager…”
Baumgartner: IAS must target 8%+ return with max 20% drawdown
“We've got to target an eight percent, perhaps higher return, just to keep our head above water, but yet we can't afford to have more than a 15% or 20% drawdown because we'll never recover. Our spend rate would be too much.”
Baumgartner: IAS endowment was 100% alternatives, 80% hedge funds
“So the strategy by and large was in place, and it was A hundred percent alternatives. That portfolio was in place, that strategy. It was 80% hedge funds and 20% private markets funds, mostly venture.”
Baumgartner: IAS is pushing private markets allocation to 25-35%
“We've decided that we can afford to have more illiquidity in the portfolio. So we've slowly pushed that allocation out Toward 25, 30, and maybe even 35% in private markets with a very high focus on managing those cash flows and liquidity.”
Baumgartner: IAS targets high-risk hedge funds, not bond substitutes
“Well, we are targeting very high potential return hedge funds. High risk hedge funds. We're not looking for three percent fixed income substitute. We're looking for Even more than equities and even less equity beta and even more diversification.”
Baumgartner: 2014–2018 equity returns doubled consensus forecasts while volatility halved
“Back in 2013, 20 14, you've got bears projecting low returns... You've got folks like Goldman and JP Morgan, and the folks who publish capital market expectations, and you see, eh, equities, seven percent annualized return, 15% vol... Now, you fast forward fiv…”
Baumgartner: Inflows to investment strategies simultaneously lower returns and increase risk
“I do think that edge goes away, and people figure things out, and money piles into strategies, and when capital flows in anywhere, it wrecks. Not just future returns, but the risks go up as well. So getting dinged twice, you're getting a lower expected return,…”
Baumgartner: IAS achieved median peer returns with only 2% max drawdown
“We've had median returns. Some people say, well, that's just junk. No, we've done it with so much less risk. We've achieved it with the maximum drawdown in the portfolio has been two percent.”
Baumgartner: IAS models 8% return at 5% volatility
“We have an expected return of eight percent on a volatility of around five. That's how we model our overall portfolio. We've achieved eight percent on less than two percent volatility.”
Baumgartner: IAS plans to increase risk budget to 6-7% volatility
“What we're saying is, well, let's take a five percent risk budget, which is about half of what we think peers have, and let's move that to six or seven.”
Baumgartner: IAS's $1B size enables investing in esoteric niches
“I think the idea for the Institute is one of our other competitive advantages is we're smaller. We're about a billion dollars. We're, we can Afford to be in smaller, more esoteric, more unknown things that larger endowments and foundations might not be interes…”
Baumgartner: Top PE and VC firms possess structural franchise power
“And the ones with persistent good performance and venture as well, they're incredibly powerful businesses. They're franchises. They have access to deals. They have all sorts of levers of power. They control their suppliers and they control their customers, rig…”
Baumgartner: Best Risk Managers Underperformed In 2013-2018 Bull Market
“The people who actually have not done as well, in my view, in the last five years, have been some of the best investors and definitely some of the best risk managers in the world, period.”
Baumgartner: Markets Are Turbulent Nonlinear Systems, Not Just Volatile
“When you incorporate behavior and psychology into markets, the best description is not something that's volatile, but it's something that's turbulent. And turbulence is different than volatility because it's a nonlinear dynamical system, right? You see phase t…”