This article explores how accounting ideas travel to unfamiliar environments and instigate new modes of calculation therein. The empirical focus is on the food balance sheet, a key calculative technology in the realm of food security. Drawing on Said's four‐stage schema for analyzing the movement of theories and ideas, this investigation traces the journeying of the balance sheet to the field of food security from the First World War, culminating in the institutionalization of the food balance sheet as a standardized and universal practice from the late 1940s. The study reveals the conditions that facilitated acceptance of the balance sheet idea in a new field—specifically, its alignment to the problem of managing the national and global supply of food, as well as the presence of individual actants who recognized its utility for communicating and addressing the problem of food insecurity during periods of global conflict and humanitarian crisis. These key individuals emanated from the United States, the dominant power in an age of internationalism. It is shown that conceptual traveling involved the jettisoning of core elements of the accounting construction of the balance sheet, but also their selective reimportation once the balance sheet became domesticated in its new location. The article offers original insights to the forces that generate calculative innovations in epistemic communities beyond accounting.

This paper examines earnings management in response to changes in tax planning and financial reporting incentives around the corporate income tax rate decrease from 35% to 21% enacted by Tax Cuts and Jobs Act (TCJA) of 2017. Given the higher level of book-tax conformity of real activities manipulation (RAM) relative to accrual-based earnings management (AEM), we hypothesize that firms concertedly use these techniques for different purposes. Specifically, we predict and find that firms use RAM to reduce taxable income prior to the TCJA with firms in our sample saving between $9.1 billion and $11.0 billion in taxes by shifting taxable income from the high-tax to the low-tax period. We also predict and find that firms use AEM, which has lower book-tax conformity than RAM, to simultaneously increase book income in the high-tax period. These results inform policymakers, regulators, and researchers on the economic effects of corporate tax reform.

We examine how ETF adoption affects retail investor performance using a comprehensive panel of 524,181 Finnish investors tracked from 2007 to 2022. ETF adopters tend to be older, predominantly male, and more active, holding smaller but better-diversified portfolios. Importantly, first-time use of ETFs yields statistically significant improvements in risk-adjusted returns. ETF users also demonstrate greater portfolio resilience during financial crises. Our findings confirm that ETFs serve as effective tools for enhancing performance and managing risk for retail investors.

We study how auditors prioritize tasks and how variations in task order influence auditors' performance. Drawing on conservation of resources theory, we develop and test our hypotheses through three experiments involving over 350 professional auditors. The first two experiments assess the impact of task order on performance. Across two settings, we manipulate task order and find that prioritizing an easier task generally results in lower performance compared with prioritizing a difficult task. In the third experiment, auditors are given autonomy over task ordering. We observe a tendency to prioritize easier tasks, particularly under heightened time pressure. We do not find any evidence that psychological ownership weakens the effect of time pressure on easy task prioritization.

We prove a central limit theorem for network formation models with strategic interactions and homophilous agents. Since data often consists of observations on a single large network, we consider an asymptotic framework in which the network size diverges. We argue that a modification of “stabilization” conditions from the literature on geometric graphs provides a useful high-level formulation of weak dependence which we utilize to establish an abstract central limit theorem. Using results in branching process theory, we derive interpretable primitive conditions for stabilization. The main conditions restrict the strength of strategic interactions and equilibrium selection mechanism. We discuss practical inference procedures justified by our results.

This article documents adverse selection in Ginnie Mae issuers’ early buyout decisions. Conditional on default, we find a 1 percentage point increase in interest rate spread increases the probability of an early buyout by 7–9 percentage points. Issuers buy out higher interest rate spread loans because they generate greater economic gains when they reperform. We illustrate how issuers acquire private soft information that provides direct insight into the likelihood of reperformance. Although the soft information is ostensibly collected on behalf of investors during the delinquent loan servicing process, issuers can exploit the information in their early buyout decisions.

Stablecoins are a new form of private money. They are fragile but largely trade at par. How? We present a model and empirical work to examine a novel source of demand for stablecoins. Stablecoin owners are indirectly compensated for run risk by lending their coins to crypto speculators. The stablecoin can then support its $1 peg, but this arrangement links crypto speculation to traditional financial markets where stablecoins invest their reserves.

We show that acquisitions of private targets increase the quantity, quality, and value of the acquiring firms’ patents more than acquisitions of public targets. Private-target acquisitions also foster significantly greater innovation synergies, increase the total number of inventors, and promote new collaborations among inventors. These outcomes are associated with the acquirers’ expertise in identifying innovative private targets, are more pronounced in industries with breakthrough technologies, and are not driven by targets with existing patent portfolios. We also find that the patenting increases explain away the higher announcement returns for private versus public-target acquisitions. Overall, our results underscore the role of complementary innovation capabilities in driving value creation through the integration of private targets with publicly listed acquirers.