Research

Working Papers

AI Valuations: Bubble or Fundamentals?

Abstract
Do high stock valuations during the emergence of a general-purpose technology such as AI reflect price bubbles? I propose a new framework that measures the AI premium gap—the wedge between objective expected returns from full-information econometric benchmarks and subjective expected returns from analyst forecasts, for AI firms relative to non-AI firms. A negative gap is consistent with bubbles. From 2009 to 2024, the gap is positive. Applied to the dot-com era of the 1990s, the same framework yields a negative gap, consistent with a dot-com bubble. This contrast suggests the AI era differs fundamentally, highlighting the framework’s broader applicability.
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Presentations 2026 AFA PhD Poster Session · 2025 OSU Fisher AI in Business Conference · 2025 SFA · 2025 Heterogeneous Agents in Asset Pricing · 2025 Finance Theory Group

Publications

Are There Too Few Publicly Listed Firms in the US?

with Craig Doidge, George Andrew Karolyi, and René M. Stulz

Financial Review, 2025, 60, 317–329

Abstract
Doidge, Karolyi, and Stulz (2017) show that from 1999 to 2012, the US develops a listing gap relative to other countries, meaning that it has abnormally few publicly listed firms. In this paper, we update their evidence to 2023 and find that the listing gap increases, but at a low rate. By 2023, the US has about half as many listed firms per capita as other developed countries. We discuss some of the important questions raised by the existence and increase of the listing gap to which we hope researchers will find answers.
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Coverage Forbes · Harvard Law School Forum on Corporate Governance

Congress.gov Congressional Research Service Report (2025) · Congressional Research Service Report (2026)

Book Chapters

Liquidity Management with Index Futures Contracts for Active Managers

with Shaojun Zhang

Derivatives Applications in Asset Management: From Theory to Practice, Springer Nature, 2025

Abstract
Effective liquidity management is essential for active mutual funds, particularly those managing substantial assets in dynamic market environments. This chapter explores the critical role of stock-index futures contracts in liquidity management, offering practical tools and strategies for managing cash flows, meeting redemption demands, and maintaining market exposure. The discussion covers key techniques, including cash buffers, liquid assets, and advanced derivative strategies such as rolling futures contracts and mixed approaches using options and futures. Case studies illustrate how fund managers reinvest dividends, manage inflows and outflows, and optimize portfolio exposure under varying market conditions. Additionally, the chapter addresses challenges in liquidity management, including transaction costs, volatile markets, and regulatory uncertainty. By leveraging index futures and other derivatives, fund managers can achieve efficient liquidity management while preserving strategic objectives and investor confidence.