We study asset pricing in economies with large information networks. We focus on networks that are sparse and have power law degree distributions, in line with empirical studies of large scale social networks. Our theoretical framework yields a rich set of novel asset pricing implications. We...

We study the relationship between the underground economy and financial development in a model of tax evasion and bank intermediation. Agents with heterogeneous skills seek loans in order to undertake risky investment projects. Asymmetric information between borrowers and lenders implies a menu...

In most industrialized economies, financial wealth is distributed far more unequally than income. According to Wolff (2007) more than half of the American households possess almost no productive capital while realizing about 20 percent of national income. This mismatch poses a problem for the...

We study how short-term informational advantages can be monetized in a high-frequency setting, when large inventories are explicitly penalized. We find that if most of the additional information is revealed regardless of the high-frequency traders' actions, then fast inventory management allows...

We propose a measure of dispersion in fund managers׳ beliefs about future stock returns based on their active holdings, i.e., deviations from benchmarks. We find that both the level of and the change in dispersion positively predict subsequent stock returns on a risk-adjusted basis. This effect...

Human judgments are systematically affected by various biases and distortions. The main goal of our study is to analyze the effects of five well-documented behavioral biases—namely, the disposition effect, herd behavior, availability heuristic, gambler’s fallacy and hot hand fallacy—on the...