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.

We examine the effect of news media consolidation on local business coverage and its consequences for firms, investors, and capital markets. Using television transcripts, we find a substantial drop in coverage of local firms following the consolidation of local television stations associated with Sinclair acquisitions. Local information search, institutional portfolio local bias, and overall retail trading decrease for firms in treated geographic areas. Results are most pronounced for small firms, for stations with higher ex ante viewership, and for stations with greater reductions in local coverage. Our results provide insight into the consequences of media consolidation for local business coverage, firms, investors, and capital markets.

Existing research often assumes that firms’ financial reporting choices influence their return comovement with other firms. We examine the validity of that assumption. First, we provide initial evidence suggesting that similarity in two firms’ disclosures not only predicts but influences future return comovement between those two firms. Second, we show that this predictive ability aggregates to the market level; disclosure similarity can be used to estimate more accurate forward-looking market betas. Taken together, these two results suggest that firms’ reporting decisions can influence their firms’ betas even in the absence of changes to capital structure or operations. This paper was accepted by Suraj Srinivasan, accounting. Funding: The authors are grateful for financial support from the Brigham Young University Marriott School of Business and the Fisher College of Business, Ohio State University. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2023.4915 .

We show that investors acquire more public information about firms to which they are more socially proximate. A standard deviation increase in the Social Connectedness Index (Bailey, Cao, Kuchler, Stroebel, and Wong, 2018) between a firm’s headquarter county and a searcher county is associated with 30% more EDGAR filing downloads from the searcher county. The effect of social proximity on traditional investment research is distinct from the effects of geographic proximity and capital allocation. We find similar results studying headquarter relocations, investor-level data, power outages, and EDGAR downloads from European regions, for which physical distance should be irrelevant. Social proximity matters more during times of high market-wide uncertainty and for firms with weaker information environments. Traditional information gathered by socially proximate investors predicts short-term earnings and stock returns. Collectively, the evidence indicates that social ties mitigate informational frictions and foster valuable traditional information acquisition in financial markets.

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.

We examine the two approaches used by equity index funds to track their benchmark index. The first, full replication, mimics the index with exactness. The second, representative sampling, holds a subset of the index. We find that samplers trade 3-4 times more, have 30-50% higher expenses and fees, and earn 50-70 basis points lower annual returns, which is substantial given index funds’ mandate to limit tracking error to a few basis points. Samplers’ underperformance is not purely driven by higher expenses and transaction costs, but also poor stock picking. Overall, our analyses suggest representative sampling is detrimental to index investors.

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.

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.

We comment on the Securities and Exchange Commission’s proposed Reporting Threshold for Institutional Investment Managers (“Proposal”). We estimate the cost savings from the Proposal are economically small, and amount to 0.004% (0.008%) of assets under management for the average (median) affected filer, and 0.02% of assets for the smallest filer. This small cost savings needs to be weighed against the potentially large costs to investors and others created by eliminating a public disclosure that they heavily use. We believe the analysis in Section II of the Proposal is incomplete for two reasons. First, the Proposal does not contain any formal economic analysis. Second, it does not attempt to quantify either the extent of use of Form 13F or the benefits that it provides to investors and other stakeholders. To help fill this void, we analyze the usage patterns of the EDGAR system, and specifically the frequency of Form 13F downloads from EDGAR. Our analysis suggests the investing public and other stakeholders are strongly interested in the information in Form 13F filings, particularly those of affected filers, and that exempting such institutions from filing Form 13F would deprive the market of this information.

SUMMARY We investigate whether auditors are sensitive to litigation risk related specifically to having greater numbers of institutional investors that hold the common stock of a given client. Our findings suggest that audit fees are higher when the number of institutional investors holding stock in the company is greater. Additional tests corroborate our inference that the association between audit fees and the number of institutional investors is related to litigation risk. The importance of improving our understanding of auditors' sensitivity to factors that increase litigation exposure is highlighted by the number and magnitude of lawsuits filed against auditors relating to the audits of public clients.

ABSTRACTWe discuss the evolution of research on textual attributes in accounting and suggest potential directions for future research using Cazier and Pfeiffer (2017) to illustrate the challenges and opportunities in the literature. We categorize the literature based on whether a given textual attribute is assumed to be “discretionary” versus “nondiscretionary” and whether it is assumed to be “helpful” versus “harmful.” The literature to date has been largely descriptive, with limited focus on causality, and we argue that there are substantial opportunities for research that better isolate the discretionary components of textual disclosure, as well as identifying specific contexts in which a given attribute is more likely to be helpful than harmful.JEL Classifications: D8; M4.

We discuss the evolution of research on textual attributes in accounting and suggest potential directions for future research using Cazier and Pfeiffer (2017) to illustrate the challenges and opportunities in the literature. We categorize the literature based on whether a given textual attribute is assumed to be "discretionary" versus "nondiscretionary" and whether it is assumed to be "helpful" versus "harmful." The literature to date has been largely descriptive, with limited focus on causality, and we argue that there are substantial opportunities for research that better isolate the discretionary components of textual disclosure, as well as identifying specific contexts in which a given attribute is more likely to be helpful than harmful.

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.

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.