Knowledge that Transforms

This study examines the relation between taxes and business investment using the setting of an unexpected and economically significant federal corporate income tax rate increase in Canada known colloquially as the Halloween Massacre of 2006. This tax increase only applies to firms organized as income trusts, but not corporations. Using a difference‐in‐differences design, we find that investment by income trusts decreases about 0.67% for each 1 percentage point increase in the tax rate, translating into over $10 billion in reduced aggregate investment. In decomposing total investment, our results reveal that capital expenditures exhibit an immediate decrease while there is a delayed decrease in acquisition activity. Our results are concentrated in high‐investment income trusts that are most sensitive to the link between investment and taxes. Our study helps resolve conflicting prior results by providing robust evidence that tax increases have an economically significant and negative causal effect on business investment.

We examine how analysts’ information acquisition and processing differ when analysts have access to AI resources, focusing on investment banks’ AI investments. We propose and test a two‐step framework, which is informed by in‐depth interviews with analysts. First, consistent with AI facilitating automation‐assisted public information processing, we show that AI investments are associated with more timely earnings forecasts following 10‐K filings, particularly after the implementation of iXBRL, which increases the machine readability of filings. Second, we show that analysts reallocate the time and capacity freed by automation toward acquiring and incorporating private information, supported by several sets of evidence: AI investments (1) are associated with higher quality and bolder earnings forecasts, particularly when private information is more important and accessible to analysts; (2) are associated with an expansion of analyst coverage to new firms and industries; and (3) are associated with higher information‐seeking efforts, particularly greater participation in earnings conference calls. Additionally, exploiting the launch of AskResearchGPT at Morgan Stanley, an in‐house generative AI designed for research, we find results consistent with our main analyses. Overall, our study provides insights into the potential for AI to reshape the human value of sell‐side analysts.

Prior studies predominantly examine fundamental performance‐driven explanations of loan renegotiations. We contrast with this work by investigating the improvement in secondary loan market trading conditions as a non‐fundamental driver of loan renegotiation. Exploiting a regression discontinuity design around the LSTA 100 Index reconstitution, we find that index‐included loans are around five times more likely to receive interest‐rate–reducing amendments than comparable loans just below the index inclusion threshold. Within‐loan‐package tests confirm that these renegotiations are not driven by changes in the borrower's fundamental performance. The threat of refinancing likely drives this effect, as the results are more pronounced when such threats are more credible.

We examine the spillover effects of local initial public offerings (IPOs) on new business formation. An IPO in a local area is associated with a 1%–4% increase in new business registrations, and this effect is particularly pronounced in counties facing higher economic uncertainty. New business registrations are significantly influenced by the extent of EDGAR downloads related to the IPO firm's public disclosures and the information in the IPO firm's S‐1 disclosure. The findings highlight the role of IPOs in conveying crucial information through signaling of potential success prospects and additional provision of information through disclosures. A field survey of 503 entrepreneurs further supports these conclusions.

Operating cash flows are a critical input to valuation activities. Research and practice indicate that the most common method of presenting operating cash flows, the indirect method, is viewed as overly complex. We experimentally examine whether two theoretically motivated factors represent shortcomings of the indirect method: (1) inadequate linking of related components of net income and changes in working capital accounts, and (2) inconsistent income statement labeling between components of net income and their corresponding working capital changes. Drawing on causal reasoning theory, we predict and find that these factors hinder the decision usefulness of the operating section of the statement of cash flows. The results of our study are informative to the academic literature and standard setters, as we examine underlying reasons why the indirect method may be viewed unfavorably.

We examine whether the largest place‐based, firm‐specific corporate subsidies (“Megadeals”) awarded by state and local governments affect local firms’ innovation. First, we document that (1) subsidy firms innovate in the subsidized county and (2) subsidy firms bring inventors from other counties into the subsidized county, consistent with subsidy firms generating new knowledge locally. In our main test, we use a stacked cohort design with stringent fixed effects to document that local firms increase patenting following a Megadeal. Cross‐sectionally, effects are increasing (1) in subsidy firm innovativeness, (2) in the technological closeness of subsidy firms and local firms, (3) when subsidy and local firms share an industry, and (4) when the subsidized location has a heavy college presence. Additionally, we document that following a Megadeal, local firms increasingly make citations to subsidy firm patents and that the patent similarity of local and subsidy firms increases. We document that subsidy firm inventors are more likely to move to local firms following a Megadeal. We also find that subsidies for labs, headquarters, and high‐tech manufacturing plants drive our main results. These results are consistent with knowledge spillovers being one channel through which we observe an increase in local firm patenting following Megadeals.

This paper studies shareholder derivative lawsuits related to CEO compensation. We document that compensation lawsuits are more likely to be filed against firms with higher CEO pay, especially in the presence of poor firm performance. Firms reduce the level of CEO compensation after lawsuits, which leads to CEO departures and declines in CEO effort provisions, and consequently, results in deteriorated firm performance. Interestingly, compensation lawsuits accompanied by low support in the preceding Say‐on‐Pay votes, which likely capture the quality of pay practices, are associated with even higher pay cuts, but do not harm firm performance or lead to departures of talented CEOs, supporting the idea that suboptimal pay and deteriorated performance after compensation lawsuits are driven by the lack of a sophisticated understanding of CEO pay by plaintiff shareholders.

We assemble and describe a sample of 174,782 lawsuits filed against 218,437 public‐company lawsuit‐defendants in federal district court from 2006 to 2021. These lawsuits involve an array of allegations, including product liability, civil rights discrimination, contract breaches, improper compensation and labor practices, antitrust violations, corruption, securities violations, pollution, and intellectual property infringement. The sample exhibits rich variation across firms, industries, time, suit type, plaintiffs, and outcomes—reflecting not only firm activities but also social, political, and regulatory trends. Although many claims matter very little, some are important individually or in aggregate. We observe 23% of defendants experience a market value decline exceeding 10% of current assets around the lawsuit filing. Consistent with the notion that even low‐stakes claims, when numerous or persistent, can introduce frictions or reflect underlying issues, we find that aggregate legal exposure is associated with increased return volatility and decreased profitability. Subsequent tests indicate that materiality, public and private enforcement, and firms’ information environments (as well as other firm traits) are associated with managers’ decisions to disclose these claims. Collectively, our descriptive evidence establishes a foundation for further research into underexplored types of corporate litigation that represent a broad range of alleged wrongdoing and socially irresponsible behavior.

This study examines the spillover effect of bank financial misconduct on the uninsured deposits of peer banks within local markets. We first validate that misconduct banks experience an increase in deposit spreads and a corresponding outflow of deposits following the misconduct. We then show local peer banks exhibit divergent deposit responses, contingent on how misconduct is perceived by information recipients in different economic contexts. During normal periods, depositors receiving a negative signal about bank misconduct reallocate their funds from misconduct banks to local peers, a local reallocation effect that decreases deposit spreads and increases deposit inflows for peer banks. Cross‐sectional analysis further reveals that this local reallocation effect is more pronounced for financially sophisticated depositors, amplified when peer banks have strong fundamentals, but attenuated when misconduct banks are financially sound. During financial crisis periods, however, bank misconduct leads to withdrawals from both misconduct banks and their peer banks, a local contagion effect whereby local peer banks face increased deposit spreads and deposit outflows following the misconduct.