Knowledge that Transforms

ABSTRACT We propose an information‐based theory to explain time variation in liquidity and link it to a variety of patterns in asset markets. In “normal times,” the market is fully liquid and gains from trade are realized immediately. However, the equilibrium also involves periods during which liquidity “dries up,” which leads to endogenous liquidation costs. Traders correctly anticipate such costs, which reduces their willingness to pay. This foresight leads to a novel feedback effect between prices and market liquidity, which are jointly determined in equilibrium. The model also predicts that contagious sell‐offs can occur after sufficiently bad news.

ABSTRACT Long payment terms are a strong impediment to the entry and survival of liquidity‐constrained firms. To test this idea and its implications, I consider the effect of a reform restricting the trade credit supply of French trucking firms. In a difference‐in‐differences setting, I find that trucking firms' corporate default probability decreases by 25% following the restriction. The effect is persistent, concentrated among liquidity‐constrained firms, and not offset by a decrease in profits. The restriction also triggers an increase in the entry of small trucking firms.

ABSTRACT What explains short‐term fluctuations of stock prices? This paper exploits a natural experiment from the 18 century in which information flows were regularly interrupted for exogenous reasons. English shares were traded on the Amsterdam exchange and news came in on sailboats that were often delayed because of adverse weather conditions. The paper documents that prices responded strongly to boat arrivals, but there was considerable volatility in the absence of news. The evidence suggests that this was largely the result of the revelation of (long‐lived) private information and the (transitory) impact of uninformed liquidity trades on intermediaries' risk premia.

ABSTRACT H ow did the collapse of the asset‐backed securities (ABS) market during the 2007 to 2009 financial crisis affect the supply of credit to the broader economy? Using new data on the U.S. credit union industry, we find that ABS‐related losses are associated with a large contraction in the supply of credit to consumers, especially among those credit unions that began the crisis with weaker capitalization. We also find that this credit supply shock restricted the availability of mortgage and automobile credit. These results show how movements in the prices of financial assets can affect the real economy.

ABSTRACT We study the Lucas asset pricing model in a controlled setting. Participants trade two long‐lived securities in a continuous open‐book system. The experimental design emulates the stationary, infinite‐horizon setting of the model and incentivizes participants to smooth consumption across periods. Consistent with the model, prices align with consumption betas and comove with aggregate dividends, particularly so when risk premia are higher. Trading significantly increases consumption smoothing compared to autarky. Nevertheless, as in field markets, prices are excessively volatile. The noise corrupts traditional generalized method of moment tests. Choices display substantial heterogeneity, with no subject representative for pricing.

ABSTRACT Asset prices contain information about the probability distribution of future states and the stochastic discounting of those states as used by investors. To better understand the challenge in distinguishing investors' beliefs from risk‐adjusted discounting, we use Perron–Frobenius Theory to isolate a positive martingale component of the stochastic discount factor process. This component recovers a probability measure that absorbs long‐term risk adjustments. When the martingale is not degenerate, surmising that this recovered probability captures investors' beliefs distorts inference about risk‐return tradeoffs. Stochastic discount factors in many structural models of asset prices have empirically relevant martingale components.

ABSTRACT I empirically analyze credit market outcomes when competing lenders are differentially informed about the expected return from making a loan. I study the residential mortgage market, where property developers often cooperate with vertically integrated mortgage lenders to offer financing to buyers of new homes. I show that these integrated lenders have superior information about the construction quality of individual homes and exploit this information to lend against higher quality collateral, decreasing foreclosures by up to 40%. To compensate for this adverse selection on collateral quality, nonintegrated lenders charge higher interest rates when competing against a better‐informed integrated lender.