I examine the demand for public information by local and nonlocal investors. Using novel data on institutional investors' requests for financial information from the SEC, I document that investors acquire approximately 20% more financial information for their local investments. This pattern holds after controlling for investors’ 13(f) portfolio holdings. I further demonstrate that this pattern is concentrated in stocks eliciting behavioral biases as well as among investors with strong company relationships. Consistent with public information acquisition being more beneficial to local investors, I find that local investors exhibit both enhanced timeliness in acquiring public information and superior portfolio trading decisions when acquiring public information (on the order of 0.5% per quarter). In sum, these results provide evidence that investors demand more, and benefit more from, public information on local investments.

ABSTRACT Crowdsourced financial information platforms often allow content contributors to publish equity research anonymously. This study examines whether investors value or discount information in anonymous equity research. In the short window around research releases, we find that investors’ stock price reaction to anonymous research is muted in comparison to nonanonymous research. Consistent with credibility concerns influencing investor response, we document that this discount to anonymous research dissipates as the monitoring of content contributors intensifies and as authors develop a reputation for high‐quality reporting. In addition, we perform a content analysis on the research reports and find that the muted market reaction to anonymous equity research is robust to controlling for textual attributes of information content, further supporting our inference that investors’ are concerned about the credibility of anonymous equity research.

We document marked trends in 10-K disclosure over the period 1996–2013, with increases in length, boilerplate, stickiness, and redundancy and decreases in specificity, readability, and the relative amount of hard information. We use Latent Dirichlet Allocation (LDA) to examine specific topics and find that new FASB and SEC requirements explain most of the increase in length and that 3 of the 150 topics—fair value, internal controls, and risk factor disclosures—account for virtually all of the increase. These three disclosures also play a major role in explaining the trends in the remaining textual characteristics.

We examine quantitative investors’ ability to navigate a common and occasionally material change to the financial data generating process: new accounting standards. Returns of quantitative mutual funds temporarily decrease relative to funds that rely more heavily on human discretion following the implementation of a few standards that significantly change key financial statement variables; however, other standards do not appear to have a differential effect. Our result is stronger for quantitative funds using more accounting terminology in their prospectuses and using value strategies, which leverage accounting signals. Excess portfolio turnover following the implementation of accounting standards appears to be a driving factor of the quant underperformance. Additional evidence connects the fund-level results to the specific stocks that were affected by the accounting standards. Overall, our results suggest quant funds are generally proficient at adapting to accounting changes, although material changes occasionally put them at a temporary disadvantage relative to discretionary investors.

Guay et al. (2016) document that firms with longer and more complex 10-Ks provide relatively more voluntary disclosure, which they interpret as evidence that managers use voluntary disclosure to mitigate negative effects of complex mandatory disclosure. We review the results of Guay et al. and focus on two main challenges to inferring causality: (1) the coincidence of upward over-time trends in annual report length, complexity, and voluntary disclosure, and (2) the potential for omitted correlated variables, such as changes in firm economics, to drive changes in 10-K textual characteristics and voluntary disclosure. While the results in Guay et al. are extensive and robust, we argue that economic drivers of, and trends in, voluntary disclosure present important avenues for future research.

The patent system grants inventors temporary monopoly rights in exchange for a public disclosure detailing their innovation. These disclosures are meant to allow others to recreate and build on the patented innovation. We examine how the quality of these disclosures affects follow-on innovation. We use the plausibly exogenous assignment to patent applications of examiners who differ in their enforcement of disclosure requirements as a source of variation in disclosure quality. We find that some examiners are significantly more lenient with respect to patent disclosure quality requirements, and that patents granted by these examiners include significantly lower-quality disclosures and generate significantly less follow-on innovation. Overall, our evidence suggests that high-quality patent disclosures create knowledge spillovers that spur follow-on innovation.