Intertemporal Information Acquisition and Investment Dynamics

This paper studies intertemporal information acquisition by agents that are rational Bayesian learners and that dynamically optimize over consumption, investment in capital, and investment in information. The model predicts that investors acquire more information in times when future capital productivity is expected to be high, the cost of capital is low, new technologies are expected to have a persistent impact on productivity, and the scalability of investments is expected to be high. My results shed light on the economic mechanisms behind various dynamic aspects of information production by the financial sector, such as the sources of variation in returns on information acquisition for investment banks or private equity funds

Learning, Active Investors, and the Returns of Financially Distressed Firms

I develop an analytically tractable dynamic asset pricing model to study expected returns of financially distressed firms in the presence of learning about firm fundamentals and endogenous information acquisition by active investors. The model reveals that learning and information acquisition critically affect lowfrequency risk exposures close to default and can, counter to standard models, rationalize low and even negative expected return premia for firms with high default risk. Similar to Schumpeter’s (1934) argument that recessions have a positive, cleansing effect on the economy, the model reveals that equity holders naturally benefit from an increased speed of learning about truly insolvent firms in downturns, which positively affects the value of their default option in these times. Equity holders’ option value is similarly enhanced by the ability to partially freeride on active investors’ information acquisition. Learning thus dynamically affects distressed firms’ exposures to business-cycle frequency risks and can rationalize striking, momentum-type dynamics in risk premia

Rating Agencies in the Face of Regulation

This paper develops a theoretical framework to shed light on variation in credit rating standards over time and across asset classes. Ratings issued by credit rating agencies serve a dual role: they provide information to investors and are used to regulate institutional investors. We show that introducing rating-contingent regulation that favors highly rated securities may increase or decrease rating informativeness, but unambiguously increases the volume of highly rated securities. If the regulatory advantage of highly rated securities is sufficiently large, delegated information acquisition is unsustainable, since the rating agency prefers to facilitate regulatory arbitrage by inflating ratings. Our model relates rating informativeness to the quality distribution of issuers, the complexity of assets, and issuers\u27 outside options. We reconcile our results with the existing empirical literature and highlight new, testable implications, such as repercussions of the Dodd-Frank Act

Asymmetric Information and Intermediation Chains

We propose a parsimonious model of bilateral trade under asymmetric information to shed light on the prevalence of intermediation chains that stand between buyers and sellers in many decentralized markets. Our model features a classic problem in economics where an agent uses his market power to inefficiently screen a privately informed counterparty. Paradoxically, involving moderately informed intermediaries also endowed with market power can improve trade efficiency. Long intermediation chains in which each trader\u27s information set is similar to those of his direct counterparties limit traders\u27 incentives to post prices that reduce trade volume and jeopardize gains to trade

To pool or not to pool? security design in OTC markets

We study security issuers’ decisions on whether to pool assets when facing counterparties endowed with market power, as is common in over-the-counter markets. Our analysis reveals how buyers’ market power may render the pooling of assets suboptimal — both privately and socially — in particular, when the potential gains from trade are large. Pooling assets then reduces the elasticity of trade volume in the relevant part of the payoff distribution, exacerbating the inefficient rationing associated with the exercise of buyers’ market power. Our analysis provides insight on the determinants of asset-backed securities issuance, including regulatory reforms affecting financial institutions’ liquidity