We model platform competition with network effects, infrastructure investment, and data collection and sharing, thereby providing a unifying framework to evaluate data-related regulation and antitrust policies. Data feedback improves service quality but may concentrate market power. Dispersed...

Public equity is an important source of risk capital, especially in China. The Chinese government has occasionally suspended IPOs, exposing firms already approved to IPO to indeterminate listing delays. The temporary bar on going public increases uncertainty about access to public markets for...

We model financial innovations such as Exchange-Traded Funds, smart beta products, and many index-based vehicles as composite securities that facilitate trading common factors in assets' liquidation values. Through accessing a larger basket of assets in endogenously-chosen proportions, composite...

Governments and corporations frequently auction assets with embedded real options using both cash and contingent bids. I characterize equilibrium bidding and option exercise strategies, and find that the moral hazard associated with uncontractible investment timing inefficiently and...

Economic activities such as crowdfunding often involve sequential interactions, observational learning, and project implementation contingent on achieving certain thresholds of support. We incorporate endogenous all-or-nothing thresholds in a classic model of information cascade. We find that...

The rise of centralized mining pools for risk sharing does not necessarily undermine the decentralization required for permissionless blockchains: Each individual miner's cross-pool diversification and endogenous fees charged by pools generally sustain decentralization, because larger pools...

We directly optimize the objectives of portfolio management via reinforcement learning---an alternative to conventional supervised-learning-based paradigms that entail first-step estimations of return distributions, pricing kernels, or risk premia. Building upon breakthroughs in AI, we develop...

We discuss emerging research on digital tokens and cryptocurrencies. Specifically, we (i) provide a comprehensive categorization of crypto-tokens as observed or designed in practice, (ii) discuss major issues concerning the economics of using tokens including platform finance, user adoption,...

Using data on 988 peer-to-peer lending platforms in China, we examine cross-side network effects (CNEs)---arguably the most important factor for multi-sided marketplaces---throughout platforms’ lifecycle in a dynamic industry characterized by entries, exits, and network externalities. We find...