20 Session 11: Exit Timing · The Trapped Investor Problem
| Unit | 3 — Decision and Application |
| Book Chapter | 6 (sections 6.1–6.4) |
| Track | Common core (both tracks) |
20.1 Learning Objectives
By the end of this session, students will be able to:
- Frame the LP’s exit decision as an optimal stopping problem with stochastic state.
- Distinguish between forced exit (regulatory, operational) and discretionary exit (optimization).
- Identify the four conditions under which an LP becomes “trapped” — unable to exit at fair value despite wanting to.
- State the smooth pasting condition at the optimal exit boundary, at the intuition level (Track 2 will derive this in Session 25).
- Compute the value of holding vs. exiting for a representative position using the LAV operator.
20.2 Pre-Class Assignment
- Read: Book Chapter 6, sections 6.1–6.4 (~10 pages)
- Bring back: Any midterm reflections or questions
20.3 In-Class Outline (75 minutes)
| Time | Segment | Format |
|---|---|---|
| 0:00–0:10 | Midterm debrief · Set up Unit 3 | Lecture |
| 0:10–0:25 | The LP exit decision in practice | Lecture |
| 0:25–0:45 | The optimal stopping formulation | Lecture |
| 0:45–1:00 | Smooth pasting (intuition only) | Lecture |
| 1:00–1:15 | Trapped investor scenarios — four cases | Discussion + cases |
20.4 Discussion Questions
- CalPERS publicly sold PE secondaries at significant discounts in 2009. Were they “trapped” by scenario 1, 2, 3, or 4 from today’s slide? Could they have avoided the discount through better planning?
- The IPEV valuation guidelines suggest GPs should “hold to liquidation when feasible.” Does this guideline implicitly assume scenario 1 doesn’t exist? What would the guideline say if it acknowledged GE-LAV?
- A pension fund’s actuarial assumption is 7% expected return on private markets. If GE-LAV-optimal exit timing reduces realized returns by ~50 bps relative to “hold to liquidation,” is the actuarial assumption violated? Or is the realized return improvement on a risk-adjusted basis still positive?
20.5 Worked Numerical Example: Hold vs. Exit Decision
Setup: An LP holds a 5-year remaining PE position. Reported NAV: $100M. Current liquidity state: \(L_t = -0.8\) (moderately stressed). OU parameters: κ = 0.45, σ = 0.32, \(\bar{L} = 1.0\).
Step 1: Expected hold value
Under OU dynamics, \(E[L_{t+5}] = \bar{L} + (L_t - \bar{L}) e^{-5\kappa} = 1.0 + (-0.8 - 1.0) \times e^{-2.25} = 1.0 + (-1.8)(0.105) = 0.81\)
The expected liquidity state recovers from −0.8 toward \(\bar{L} = 1.0\) over 5 years, ending at +0.81.
Using \(\pi(L) = 0.045 - 0.025L + 0.021L^2\): - Average premium over 5-year horizon ≈ \(\pi(0.0) = 0.045 - 0 + 0 = 4.5\%\) (rough average of current and future) - More carefully: integrate path; result ~ 4.0% effective
Hold value (Jensen-adjusted LAV): \(V_\text{hold} \approx \$100M \times (1 + \text{Jensen bias at 5 years})\) With \(A = 0.16\%\)/yr (buyout): \(B(5) = 0.8\%\) \(V_\text{hold} \approx \$100.8M\)
Step 2: Current secondary price
At \(L_t = -0.8\), secondary discount calibration suggests a 20% discount to NAV: \(P_\text{secondary} = \$100M \times (1 - 0.20) = \$80M\)
Step 3: Compare
\(V_\text{hold} = \$100.8M\) vs. \(P_\text{secondary} = \$80M\)
Decision: Hold. The mean-reversion benefit (≈$20M expected over 5 years) exceeds any liquidity insurance value at this stress level.
Step 4: Where would exit make sense?
If \(L_t\) dropped to \(-1.5\) (GFC depth) and secondary discount widened to 40%: - \(P_\text{secondary} = \$60M\) - But \(V_\text{hold}\) also drops (higher expected premium during recovery period) — maybe to ~\(\$70M\) - At \(L_t = -1.5\), hold still slightly dominates exit for a 5-year position - For shorter remaining horizons (e.g., 2 years), the trade flips: exit becomes optimal because there’s less time for mean reversion
20.6 What to Expect Next Session
Session 12 computes the exit boundary \(L^*(t)\) numerically using the calibrated GE-LAV parameters. We’ll cover:
- Numerical solution of the value function (intuition for both tracks)
- The \(L^*(t)\) curve across remaining horizons
- Sensitivity to OU parameters and asset class
- Historical episodes where the exit rule would have changed outcomes
Reading: Book Chapter 6, sections 6.5–6.7 (~8 pages).