We directly optimize portfolio weights as a function of firm characteristics via deep neural networks by generalizing the parametric portfolio policy framework. Our results show that network-based portfolio policies result in an increase of investor utility of between 30 and 100 percent over a...

We generalize the parametric portfolio policy framework to learning portfolio weights via deep neural networks. We find that network-based portfolio policies result in an increase of investor utility of between 30 and 100 percent over a comparable linear portfolio policy, depending on whether...

We empirically investigate the effects of fiscal policy on bank balance sheets, focusing on episodes of fiscal consolidation. To this aim, we employ a very large data set of individual banks' balance sheets, combined with a newly compiled data set on fiscal consolidations. We find that standard...

We study the effects of federal purchases on firm investment using a novel panel dataset that combines federal procurement contracts in the United States with key financial firm-level information. Using panel fixed-effect models, propensity score matching, and inverse probability weighting...

Mining 29,000 accounting ratios for t-statistics over 2.0 leads to cross-sectional predictability similar to the peer review process. For both methods, about 50% of predictability remains after the original sample periods. Data mining generates other features of peer review including the rise in...

We study the determinants of local governments' reliance on bank loans using granular data from the Federal Reserve. Governments that are larger, riskier, rely on historically stable revenue sources, or have higher spending relative to revenues are more likely to borrow from banks. Declines in...

We provide data and code that successfully reproduces nearly all crosssectional stock return predictors. Unlike most metastudies, we carefully examine the original papers to determine whether our predictability tests should produce t-stats above 1.96. For the 180 predictors that were clearly...

We examine recent regulation requiring US municipal governments to disclose private debt. We show that governments fail to disclose 55-80% of reportable debt events and that, conditional on disclosure, filings often omit contract details essential for bond pricing. Non-compliant issuers are also...

We examine recent regulation requiring US municipal governments to disclose private debt. We show that governments fail to disclose 55-80% of reportable debt events and that, conditional on disclosure, filings often omit contract details essential for bond pricing. Non-compliant issuers are also...