38  Session 29: Split Track — Digital Assets & Climate / Jensen + Pigouvian Proofs

Unit 5 — Split Track
Track 1 source Classes 30 (Digital Assets) + 31 (Climate Risk)
Track 2 source Classes 11 (Jensen Bias) + 18 (Welfare) + 20 (Pigouvian Tax)

38.1 Track 1: Frontier Cases — Digital Assets + Climate

38.1.1 Track 1 Learning Objectives

By the end of this session, Track 1 students will be able to:

  1. Apply GE-LAV to crypto-adjacent investments (token venture funds, defi protocols, NFT funds).
  2. Adapt the calibration when secondary market data is thin (or doesn’t exist yet).
  3. Apply GE-LAV to ultra-long-duration climate-exposed infrastructure (50-100 year assets).
  4. Decompose climate risk into transition + physical risk channels.
  5. Identify how GE-LAV’s stochastic-premium framework handles novel risks (climate transition, regulatory uncertainty).

38.1.2 Track 1 Pre-Class Assignment

  • Skim: Recent report on crypto fund returns or NFT secondaries (link on course site)
  • Skim: Climate-aware infrastructure investing report (Bloomberg NEF or similar)

38.1.3 Track 1 In-Class Outline (75 minutes)

Time Segment Format
0:00–0:15 Digital assets in private markets Lecture
0:15–0:30 Applying GE-LAV when secondary data is thin Lecture
0:30–0:50 Climate risk and ultra-long-duration assets Lecture
0:50–1:05 Lab: value a climate-exposed infrastructure asset Group work
1:05–1:15 Synthesis + research frontier discussion Discussion

38.2 Track 2: Jensen Bias + Pigouvian Tax + Welfare Derivations

38.2.1 Track 2 Learning Objectives

By the end of this session, Track 2 students will be able to:

  1. Prove Theorem 18.1 (Jensen convexity bias) — the closed-form formula derivation.
  2. Prove Theorem 19.1 (constrained Pareto inefficiency) — that decentralized exit decisions are not socially optimal.
  3. Derive the Pigouvian exit tax as the welfare-maximizing corrective instrument.
  4. Quantify the welfare gap in the calibrated framework (~2.3%/yr).
  5. Discuss the regulatory implementation considerations.

38.2.2 Track 2 Pre-Class Assignment

  • Read: Book Chapters 18, 19 in full (with proofs)
  • Pre-read: Mas-Colell, Whinston, Green, Microeconomic Theory, Chapters 11-13 (externalities and public goods)

38.2.3 Track 2 In-Class Outline (75 minutes)

Time Segment Format
0:00–0:10 Recap: the externality concept Lecture
0:10–0:30 Jensen bias theorem and proof Lecture + board
0:30–0:50 Welfare gap: quantifying the externality Lecture
0:50–1:05 Pigouvian tax derivation Lecture
1:05–1:15 Implementation considerations Discussion

38.2.4 Track 2 Discussion Questions

  1. The Pigouvian tax is welfare-maximizing in theory. But it requires the regulator to know the population state \(\mu\) in real time. In practice, this is hard. What’s the welfare cost of using a constant tax rate (e.g., 3%) instead?
  2. The 2.3%/yr welfare gap aggregates to ~$300B/year. Of this, what fraction would be recovered by an imperfect Pigouvian tax (say, only on transactions during designated stress windows)?
  3. The Pareto inefficiency theorem assumes LPs are rational. Behavioral biases (loss aversion, herding) would likely amplify the externality. How would the welfare gap change with behavioral agents?

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