Journal of Finance, August 2018, Vol. 73 (4), pp. 1785–1818.
Journal of Financial Economics, February 2016, Vol. 119 (2), pp. 249–283.
Working papers:
with J. Ramos.
Revise and Resubmit at American Economic Review

We develop an endogenous network formation model, in which agents form connections to acquire information. Our model features complementarity in actions as agents care not only about accuracy of their decision making but also about the actions of other agents. In equilibrium, the information structure is a hierarchical network, and, under weakly convex cost of forming links, the equilibrium network is core-periphery. Even if agents are ex-ante identical, there is ex-post heterogeneity in payoffs and actions. Finally, we study how individual characteristics define agents’ roles in the network, highlighting the importance of resoluteness and information precision.

Revise and Resubmit at Journal of Political Economy

Firm volatilities co-move strongly over time, and their common factor is the dispersion of the economy-wide firm size distribution. In the cross section, smaller firms and firms with a more concentrated customer base display higher volatility. Network effects are essential to explaining the joint evolution of the empirical firm size and firm volatility distributions. We propose and estimate a simple network model of firm volatility in which shocks to customers influence their suppliers. Larger suppliers have more customers and the strength of a customer-supplier link depends on the size of the customer. The model produces distributions of firm volatility, size, and customer concentration that are consistent with the data.

with A. Eisfeldt, Sriram Rajan and E. Siriwardane.

How do network frictions in OTC derivatives markets affect equilibrium prices and risk-sharing? This paper provides quantitative answers, with a particular focus on the role of central dealers. We develop an equilibrium model of an OTC derivatives market. Detailed data provided to the Office of Financial Research (OFR) by the Depository Trust & Clearing Corporation (DTCC), along with the structural pricing and allocation equations from our model, allow us to estimate the model’s key parameters. Using our model at estimated parameters, along with the empirical core-periphery network structure, we provide quantitative estimates of: (1) The effect of network frictions on the level of OTC derivatives prices (2) The key determinants of cross sectional dispersion in bilateral prices; (3) The effects of the elimination of a central dealer on prices and risk reallocation.

with A. Moreira, and T. Muir.

Standard risk factors can be hedged with minimal reduction in average returns. Stocks with low factor-exposure have similar performance relative to stocks with high factor-exposure, hence a long-short portfolio hedges factor risk with little reduction in expected returns. This is true for both “macro” factors relating to the business cycle, and “reduced-form” factors such as value and momentum. Hedging macro factors also hedges business cycle risk (e.g. NBER recessions) and hedges many other macro factors argued to be priced in the literature, and hedging “reduced-form: factors generates large alphas. Our results have implications for portfolio formation and for understanding the economic origins of equity risk premiums.

with H. Kung, and T. Kind.

This paper examines the link between microeconomic uncertainty and the size premium across different frequencies in an investment model with heterogeneous firms. We document that the observed time-varying dispersion in firm-specific productivity can account for a large size premium in the 1960’s and 1970’s, the disappearance in the 1980’s and 1990’s, and reemergence in the 2000’s. Periods with a large (small) size premium coincide with high (low) microeconomic uncertainty. During episodes of high productivity dispersion, small firms increase their exposure to macroeconomic risks. Our model can also explain the strong positive low-frequency co-movement between size and value factors, but a negative relation with the market factor.

The Redistributive Effects of Monetary Policy
with D. Andrei and O. Ledoit
We introduce a model of the economy as a social network. Two agents are linked to the extent that they transact with each other. This generates well-defined topological notions of location, neighborhood and closeness. We investigate the implications of our model for monetary economics. When a central bank increases the money supply, it must inject the money somewhere in the economy. The agent closest to the location where money is injected is better off, and the one furthest is worse off. Symmetrically, any decrease in the money supply redistributes purchasing power in the other direction. This redistribution channel is independent from other previously studied channels. Our model’s theoretical predictions are supported by the data.

Revise and Resubmit at Journal of Economic Theory

College admissions should also base their decisions on applicants’ income as affirmative action targeting low-income applicants is a powerful policy to reduce intergenerational persistence of earnings and to improve both welfare and aggregate output. We construct an overlapping-generations model in which parents choose how much to invest in their child’s education, thereby increasing both human capital and likelihood of college admission. Affirmative action improves the pool of admitted students, however it distorts incentives towards educational investments. Using the model at calibrated parameters, we quantify the long-run effects of optimal income-based affirmative action policies.

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