We study the accuracy and usefulness of automated (i.e., machine-generated) valuations for illiquid and heterogeneous real assets. We assemble a database of 1.1 million paintings auctioned between 2008 and 2015. We use a popular machine-learning technique - neural networks - to develop a pricing...

The National Institute of Health (NIH), through its extramural grant program, is the primary public funder of health-related research in the United States. Peer review at NIH is organized around the twin principles of investigator initiation and rigorous peer review, and this combination has...

Previous research has argued that debt financing affects equity-holders' investment decisions, producing substantial inefficiency. This paper shows that the size of this inefficiency depends on the degree of investment reversibility. In a dynamic model of financing and investment, the paper...

Investor sophistication has lagged behind the growing complexity of retail financial markets. To explore this, we develop a dynamic model to study the interaction between obfuscation and investor sophistication in mutual fund markets. Taking into account different learning mechanisms within the...