Knowledge that Transforms

This study shows that the Securities and Exchange Commission's (SEC) enforcement intensity toward the foreign firms under its jurisdiction has increased dramatically over the past two decades. Because enforcement events signify an increased threat of future enforcement, I examine the stock returns of foreign firms not targeted by the SEC during windows around enforcement actions that target foreign firms. This design captures the net effects of public enforcement and helps to rule out omitted variables as alternative explanations, because other factors would have to align with enforcement events that do not occur in an obvious pattern (and are therefore unlikely to map onto other news). Nontarget firms experience positive stock returns during the event windows, which is consistent with enforcement constraining the risks of expropriation. The cross‐sectional pattern in returns reveals greater returns for firms from weak home legal environments. Finally, consistent with the market adjusting to a new enforcement regime, the magnitude of event returns declines over time. Overall, SEC enforcement is associated with increases in the value of foreign firms, supporting the premise of the legal bonding hypothesis.

The gold standard in the sciences is uncovering causal relationships. A growing literature in economics utilizes field experiments as a methodology to establish causality between variables. Taking lessons from the economics literature, this study provides an “A‐to‐Z” description of how to conduct field experiments in accounting and finance. We begin by providing a user's guide into what a field experiment is, what behavioral parameters field experiments identify, and how to efficiently generate and analyze experimental data. We then provide a discussion of extant field experiments that touch on important issues in accounting and finance, and we also review areas that have ample opportunities for future field experimental explorations. We conclude that the time is ripe for field experimentation to deepen our understanding of important issues in accounting and finance.

We examine auditor switching conditional on the compatibility of clients and their auditors using a unique text‐based measure of similarity of financial disclosures. We find clustering of clients within an audit firm based on this measure. We find that clients with the lowest similarity scores are significantly more likely (9.4%–10.6%) to switch auditors, and will change to an audit firm to which they are more similar. Regarding the effect on audit quality, we find that discretionary accruals are lower when similarity is higher. However, accounting restatements are more likely when text disclosures that are unaudited—business description, and management discussion and analysis (MD&A)—are more similar. We find no such similarity effect for the audited footnotes. Finally, we find that firms that are more similar are less likely to receive a going concern opinion (GCO), but the GCO reporting decision is more accurate. It is unclear if this reflects higher or lower audit quality since firms that are candidates for a GCO are intrinsically different from the average firm in an auditor's portfolio due to their financial distress. One implication of these results is that auditors might have greater involvement in the quality of the text disclosures that are currently not audited.

Accounting measurement and disclosure rules have a significant impact on the real decisions that firms make. In this essay, we provide an analytical framework to illustrate how such real effects arise. Using this framework, we examine three specific measurement issues that remain controversial: (1) How does the measurement of investments affect a firm's investment efficiency? (2) How does the measurement and disclosure of a firm's derivative transactions affect a firm's choice of intrinsic risk exposures, risk management strategy, and the incentive to speculate? (3) How could marking‐to‐market the asset portfolios of financial institutions generate procyclical real effects? We draw upon these real effects studies to generate sharper and novel insights that we believe are useful not only for the development of accounting standards, but also for guiding future empirical research.

This study examines the costs and benefits of uniform accounting regulation in the presence of heterogeneous firms that can lobby the regulator. A commitment to uniform regulation reduces economic distortions caused by lobbying by creating a free‐rider problem between lobbying firms at the cost of forcing the same treatment on heterogeneous firms. Resolving this tradeoff, an institutional commitment to uniformity is socially desirable when firms are sufficiently homogeneous or the costs of lobbying to society are large. We show that the regulatory intensity for a given firm can be increasing or decreasing in the degree of uniformity, even though uniformity always reduces lobbying. Our analysis sheds light on the determinants of standard‐setting institutions and their effects on corporate governance and lobbying efforts.

In the published proceedings of the first Journal of Accounting Research Conference, Vatter [1966] lamented that “Gathering direct and original facts is a tedious and difficult task, and it is not surprising that such work is avoided.” For the fiftieth JAR Conference, we introduce a framework to help researchers understand the complementary value of seven empirical methods that gather data in different ways: prestructured archives, unstructured (“hand‐collected”) archives, field studies, field experiments, surveys, laboratory studies, and laboratory experiments. The framework spells out five goals of an empirical literature and defines the seven methods according to researchers’ choices with respect to five data gathering tasks. We use the framework and examples of successful research studies in the financial reporting literature to clarify how data gathering choices affect a study's ability to achieve its goals, and conclude by showing how the complementary nature of different methods allows researchers to build a literature more effectively than they could with less diverse approaches to gathering data.