We develop a dynamic asset pricing model of cryptocurrencies/tokens that allows users to conduct peer-to-peer transactions on digital platforms. The equilibrium value of tokens is determined by aggregating heterogeneous users' transactional demand rather than discounting cash flows, as is done...

We develop a dynamic model of platform economy where tokens derive value by facilitating transactions among users and the platform conducts optimal token-supply policy. Token supply increases when new tokens are issued to finance platform growth and to reward platform owners. Token supply...

We introduce a class of interpretable tree-based models (P-Tree) for analyzing (unbalanced) panel data, with iterative and global (instead of recursive and local) split criteria. We apply P-Tree to split the cross section of asset returns under the no-arbitrage condition, generating a stochastic...

This paper endogenizes auction timing and initiation in auctions of real options. Because bidders have information rent, a seller faces a "virtual strike price" higher than the actual exercise cost. She inefficiently delays the auction to encourage bidder participation and utilizes the...

We study credit allocation across firms and its real effects during China's economic stimulus plan of 2009-2010. We match confidential loan-level data from the 19 largest Chinese banks with firm-level data on manufacturing firms. We document that the stimulus-driven credit expansion...

We predict asset returns and measure risk premia using a prominent technique from artificial intelligence -- deep sequence modeling. Because asset returns often exhibit sequential dependence that may not be effectively captured by conventional time series models, sequence modeling offers a...

Blockchain technology provides decentralized consensus and potentially enlarges the contracting space through smart contracts with tamper-proofness and algorithmic executions. Meanwhile, generating decentralized consensus entails distributing information that necessarily alters the informational...

Persistent performance in venture capital is routinely interpreted as evidence for skill. We present a dynamic model of delegated investment with endogenous fund heterogeneity and deal flow, which generates performance persistence without skill differences and predicts mean reversion in...