We provide strong evidence that the dispersion of individual stock options trading volume across moneynesses (IDISP) contains valuable information about future stock returns. Stocks with high IDISP consistently underperform those with low IDISP by more than 1% per month. In line with the idea...

We use 92,632,873 daily returns for 33,010 US firms to establish the best forecasting model for realized idiosyncratic variances. Comparing forecasts from 10 different models, we find that the most popular models, the martingale and GARCH type models, perform worst. Using the...

Liquid stocks may attract short-term traders who could attenuate the informativeness of stock prices about long-run fundamentals. As a result, managers may be less (more) likely to rely on the market prices of more (less) liquid stocks when making real investment decisions. Supporting this...

The pricing kernel is an important link between economics and finance. In standard models of financial economics it is proportional to the aggregate marginal utility in the economy. We first how that none of the three standard assumptions (completeness, risk aversion, and correct beliefs) is...

We study dynamic general equilibrium in a Lucas economy with two trees, one consumption good, two CRRA investors with heterogeneous risk aversions, and portfolio constraints. We focus on margin and leverage constraints, which restrict access to credit markets. We find positive relationship...

We propose a novel and tractable equilibrium model to study how information asymmetry, competition among market makers, and investors' risk aversion affect asset pricing, market illiquidity and welfare. The main innovation is that market makers compete through choosing simultaneously quantities...

The Lucas (1978) Tree Model lies at the heart of modern macro-finance. At its core, it provides an analysis of the equilibrium price of a long-lived asset in an exchange economy where consumption is the objective, and the sole purpose of the asset is to smooth consumption through time....