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The Decentralization of Information Processing in the Presence of Interactions

Review of Economic Studies 2003 70(3), 667-695
We propose a model of organizational decision making, in which information processing is decentralized. Our model incorporates two features of many actual organizations: aggregation entails a loss of useful information, and the decision problems of different agents interact. We assume that an organization forms a portfolio of risky assets, following a hierarchical procedure. Agents' decision rules and the organization's hierarchical structure are derived endogenously. Typically, in the optimal hierarchical structure, all agents have one subordinate, and returns to ability are at least as high at the bottom as at the top. However, these results can be reversed in the presence of returns to specialization. Copyright 2003, Wiley-Blackwell.

Bond Supply and Excess Bond Returns

Review of Financial Studies 2014 27(3), 663-713
We examine empirically how the supply and maturity structure of government debt affect bond yields and expected returns. We organize our investigation around a term-structure model in which risk-averse arbitrageurs absorb shocks to the demand and supply for bonds of different maturities. These shocks affect the term structure because they alter the price of duration risk. Consistent with the model, we find that the maturity-weighted-debt-to-GDP ratio is positively related to bond yields and future returns, controlling for the short rate. Moreover, these effects are stronger for longer-maturity bonds and following periods when arbitrageurs have lost money.

An Institutional Theory of Momentum and Reversal

Review of Financial Studies 2013 26(5), 1087-1145
We propose a theory of momentum and reversal based on flows between investment funds. Flows are triggered by changes in fund managers' efficiency, which investors either observe directly or infer from past performance. Momentum arises if flows exhibit inertia, and because rational prices underreact to expected future flows. Reversal arises because flows push prices away from fundamental values. Besides momentum and reversal, flows generate comovement, lead-lag effects, and amplification, with these being larger for high idiosyncratic risk assets. A calibration of our model using evidence on mutual fund returns and flows generates sizeable Sharpe ratios for momentum and value strategies.

Bond Market Clienteles, the Yield Curve, and the Optimal Maturity Structure of Government Debt

Review of Financial Studies 2013 26(8), 1914-1961
We propose a clientele-based model of the yield curve and optimal maturity structure of government debt. Clienteles are generations of agents at different lifecycle stages in an overlapping-generations economy. An optimal maturity structure exists in the absence of distortionary taxes and induces efficient intergenerational risksharing. If agents are more risk-averse than log, then an increase in the long-horizon clientele raises the price and optimal supply of long-term bonds—effects that we also confirm empirically in a panel of OECD countries. Moreover, under the optimal maturity structure, catering to clienteles is limited and long-term bonds earn negative expected excess returns.

Liquidity and Asset Returns Under Asymmetric Information and Imperfect Competition

Review of Financial Studies 2012 25(5), 1339-1365
Abstract We analyze how asymmetric information and imperfect competition affect liquidity and asset prices. Our model has three periods: Agents are identical in the first, become heterogeneous and trade in the second, and consume asset payoffs in the third. We show that asymmetric information in the second period raises ex ante expected asset returns in the first, comparing both to the case where all private signals are made public and to that where private signals are not observed. Imperfect competition can instead lower expected returns. Each imperfection can move common measures of illiquidity in opposite directions.

The Dynamics of Financially Constrained Arbitrage

Journal of Finance 2018 73(4), 1713-1750
ABSTRACT We develop a model in which financially constrained arbitrageurs exploit price discrepancies across segmented markets. We show that the dynamics of arbitrage capital are self‐correcting: following a shock that depletes capital, returns increase, which allows capital to be gradually replenished. Spreads increase more for trades with volatile fundamentals or more time to convergence. Arbitrageurs cut their positions more in those trades, except when volatility concerns the hedgeable component. Financial constraints yield a positive cross‐sectional relationship between spreads/returns and betas with respect to arbitrage capital. Diversification of arbitrageurs across markets induces contagion, but generally lowers arbitrageurs' risk and price volatility.

A Search‐Based Theory of the On‐the‐Run Phenomenon

Journal of Finance 2008 63(3), 1361-1398
ABSTRACT We propose a model in which assets with identical cash flows can trade at different prices. Infinitely lived agents can establish long positions in a search spot market, or short positions by first borrowing an asset in a search repo market. We show that short‐sellers can endogenously concentrate in one asset because of search externalities and the constraint that they must deliver the asset they borrowed. That asset enjoys greater liquidity, a higher lending fee (“specialness”), and trades at a premium consistent with no‐arbitrage. We derive closed‐form solutions for small frictions, and provide a calibration generating realistic on‐the‐run premia.