This article develops a theory of the balance sheet channel that places a central emphasis on the liquidity of secondary markets for macro-contingent claims. We show that the presence of dispersed information and imperfect competition in secondary markets, interacted with financial constraints, results in mispricing and misallocation of aggregate risk, distorts aggregate investment, and exacerbates asset price and output volatility. The magnitude of balance sheet amplification effects becomes endogenously tied to the severity of market frictions, which likely vary over time and across economies. The laissez-faire equilibrium is constrained inefficient due to a novel externality originating from rent-extracting behaviour of agents in secondary markets. Optimal corrective policy boosts secondary market liquidity through subsidies to trade in macro-contingent claims, which enhances aggregate risk-sharing and stabilizes the business cycle.

We study the problem of a seller (e.g. a bank) who is privately informed about the quality of her asset and wants to exploit gains from trade with uninformed buyers (e.g. investors) by issuing securities backed by her asset cash flows. In our setting, buyers post menus of contracts to screen the seller, but the seller cannot commit to trade with only one buyer, i.e. markets are non-exclusive. We show that non-exclusive markets behave very differently from exclusive ones: (1) separating contracts are never part of equilibrium; (2) mispricing of claims faced by the seller is always greater than in exclusive markets; (3) there is always a semi-pooling equilibrium where all sellers issue the same debt contract priced at average-valuation, and sellers of low-quality assets issue remaining cash flows at low-valuation; (4) market liquidity can be higher or lower than in exclusive markets, but (5) the average quality of originated assets is always lower. Our model’s predictions are consistent with empirical evidence on the issuance and pricing of mortgage-backed securities, and we use the theory to evaluate recent reforms aimed at enhancing transparency and exclusivity in markets.

We develop a rational theory of liquidity sentiments in which the market outcome in any given period depends on agents’ expectations about market conditions in future periods. Our theory is based on the interaction between adverse selection and resale considerations giving rise to an intertemporal coordination problem that yields multiple self-fulfilling equilibria. We construct “sentiment” equilibria in which sunspots generate fluctuations in prices, volume, and welfare, all of which are positively correlated. The intertemporal nature of the coordination problem disciplines the set of possible sentiment dynamics. In particular, sentiments must be sufficiently persistent and transitions must be stochastic. We consider an extension with production in which asset quality is endogenously determined and provide conditions under which sentiments are a necessary feature of any equilibrium. A testable implication is that assets produced in good times are of lower average quality than those produced in bad times.

We study information spillovers in a dynamic setting with correlated assets owned by privately informed sellers. In the model, a trade of one asset can provide information about the value of other assets. Importantly, the information content of trading behavior is endogenously determined. We show that this endogeneity leads to multiple equilibria when assets are sufficiently correlated. The equilibria are ranked in terms of both trade volume and efficiency. The model has implications for policies targeting post-trade transparency. We show that introducing post-trade transparency can increase or decrease welfare and trading volume depending on the asset correlation, equilibrium being played, and the composition of market participants.

We develop a new theory of information production during credit booms. Entrepreneurs need credit to undertake investment projects, some of which enable them to divert resources. Lenders can protect themselves from such diversion in two ways: collateralization, and costly screening that generates durable information about projects. In equilibrium, the collateralization-screening mix depends on the value of aggregate collateral. High collateral values make it possible to reallocate resources towards productive projects, but they also crowd out screening. This has important dynamic implications. During credit booms driven by high collateral values (e.g. real estate booms), economic activity expands but the economy’s stock of information on existing projects gets depleted. As a result, collateral-driven booms end in deep crises and slow recoveries: when booms end, investment is constrained both by the lack of collateral and by the lack of information on existing projects, which takes time to rebuild. We provide empirical support for the mechanism using US firm-level data.

What is the role of monetary policy in a bubbly world? To address this question, we study an economy in which financial frictions limit the supply of assets. The ensuing scarcity generates a demand for “unbacked” assets, i.e., assets that are backed only by the expectation of their future value. We consider two types of unbacked assets: bubbles, which are created by the private sector, and money, which is created by the central bank. Bubbles and money share many features, but they also differ in two crucial respects. First, while the rents from the creation of bubbles accrue to entrepreneurs and foster investment, the rents from money creation accrue to the central bank. Second, while bubbles are driven by market psychology, and can rise and fall according to the whims of the market, money is under the control of the central bank. We characterize the optimal monetary policy and show that, through its ability to supply assets, monetary policy plays a key role in the bubbly world. The model sheds light on the recent expansion of central bank liabilities in response to the bursting of bubbles.

We show that in a canonical model with heterogeneous entrepreneurs, financial frictions, and an imperfectly elastic supply of capital, a fall in the interest rate has an ambiguous effect on aggregate economic activity. In partial equilibrium, a lower interest rate raises aggregate investment both by relaxing financial constraints and by prompting relatively less productive entrepreneurs to invest. In general equilibrium, however, this higher demand for capital raises its price and crowds out investment by more productive entrepreneurs. When this reallocation is strong enough, a fall in the interest rate reduces aggregate output. A numerical exploration of the model suggests that this reallocation effect is quantitatively significant and—in response to persistent changes in the interest rate—stronger than the traditional balance-sheet channel. We provide evidence of the reallocation effect using U.S. firm-level data.