Eureka Case 28 min Undergrad

The Efficient Frontier

You are Elvira Castaño-Ruiz, chief investment officer of a university endowment in Madrid with €1,000M in assets. The board of trustees is debating whether to add a "dangerous" asset —private equity and emerging markets, highly volatile— to a portfolio that's conservative today. Intuition says more volatility means more risk. The portfolio says otherwise.

The situation

The core portfolio (diversified equities and fixed income) returns 6% with 10% volatility. The alternative asset (PE + emerging markets) promises 11% but with 22% volatility —more than double. The risk-free rate is 3%.

Here's the lesson from Markowitz and the great endowment model (Yale): the risk of an asset in a portfolio isn't its standalone volatility, but what it contributes to the risk of the whole. Because the alternative has a low correlation (0.2) with the core, adding a dose raises the return and —surprisingly— can lower total volatility over a stretch. The goal isn't to minimize volatility or maximize return: it's the point of best return per unit of risk (Sharpe), and then holding it by rebalancing.

Your job in this case: see how return, volatility, and Sharpe move with the dose of the alternative, find the efficient point, and decide the allocation. The question isn't "is the asset volatile?" but "what does it do to my portfolio?"

The decision

What allocation do you approve?

  • A · 0% alternative (core only)
  • B · ~30% alternative (efficient zone)
  • C · 70%+ alternative (load up on the higher return)

The rest of the case is locked

The data, the calculations, the decision itself and what happens next open with your institution's access code.

Have an access code?

No code yet?

Instructors can request access for a course. Tell us who you are and which course it is for, and we will send your institution a code.

Run it live in class: every student decides and justifies, and the whole class sees how it splits. How Eureka Case works →