We develop a general equilibrium model with intermediaries at the heart of international financial markets. In our model, intermediaries bargain with their customers and extract rents for providing access to foreign claims. The behavior of intermediaries, by tilting state prices, generates an...

We develop a model for pricing tokens that can be used to get access to industrial production. Our model accounts for the possibility of multiple product lines and the evolution of industrial demand. We apply our model to pricing the ICO of a Swiss startup

We propose a "debt view" to explain the dominant international role of the dollar. We develop an international general equilibrium model in which firms optimally choose the currency composition of their nominal debt. Expansionary monetary policy in downturns prevents Fisherian debt deflation...

We develop an overlapping generations model in which investors differ in their investment horizons. In equilibrium, the intertemporal hedging demand of longer horizon investors leads to a two-factor capital asset pricing model (CAPM) in which risk premiums are determined by both the market...

I develop a dynamic general equilibrium model of exchange traded funds (ETFs) that accounts for the two-tier ETF market structure with both a centralized exchange (secondary market) and a creation/redemption mechanism (primary market) operating through market-making firms known as Authorized...

We study optimal liquidity management, innovation, and production decisions for a continuum of firms facing financing frictions and the threat of creative destruction. We show that financing constraints lead firms to decrease production but may spur investment in innovation (R&D). We...

How should an agent (the sender) observing multi-dimensional data (the state vector) persuade another agent to take the desired action? We show that it is always optimal for the sender to perform a (non-linear) dimension reduction by projecting the state vector onto a lower-dimensional object...

Contrary to conventional wisdom in nance, return prediction R2 and optimal portfolio Sharpe ratio generally increase with model parameterization, even when minimal regularization is used. We theoretically characterize the behavior of return prediction models in the high complexity regime, i.e....

How does private information get incorporated into option prices? To study this question, I develop a non-linear, noisy rational expectations equilibrium model with asymmetric information and a full menu of call and put options available for trading. The model allows for an arbitrary...

We propose a new asset-pricing framework in which all securities’ signals are used to predict each individual return. While the literature focuses on each security’s own-signal predictability, assuming an equal strength across securities, our framework is flexible and includes...