SUMMARY Auditing theory predicts that larger auditors will be more likely to issue a going concern opinion to a distressed client. However, the existing empirical evidence on this issue is mixed. We attribute these mixed results to a failure to adequately control for clients' financial health. We demonstrate how properly controlling for clients' financial health reveals a positive relationship between auditor size and the propensity to issue a going concern opinion. We corroborate our findings by replicating a related study and showing how the results change when financial health variables are added to the model. In supplemental analysis, we find that Big 4 auditors are more likely than mid-tier auditors (Grant Thornton and BDO Seidman) to issue going concern opinions to distressed clients. We also find that, compared to other auditors, the Big 4 are less likely to issue false-positive (Type I error) going concern opinions. We find no evidence that the Big 4 are more or less likely to fail to issue a going concern opinion to a client that eventually files for bankruptcy (Type II error). Our results are robust to the use of a variety of matching techniques. JEL Classifications: M41; M42.
Purpose The purpose of this study is to examine the role of ethnic similarity in the audit partner–client manager relationship and its impact on auditor selection and retention decisions. Design/methodology/approach The authors use name matching analysis to infer ethnicity of audit partners and client managers in the US nonprofit reporting environment. The authors examine the degree of ethnic similarity (co-ethnicity) between the two parties and model auditor selection and retention decisions as a function of co-ethnicity. The authors also model reporting attributes as a function of co-ethnicity. Findings The authors find that the ethnic similarity between the client manager and their external audit partner is a significant determinant of auditor-client alignment. Specifically, the authors find that clients are more likely to select and retain an audit partner who is ethnically similar to the client manager. The authors find that co-ethnicity is associated with a lowered propensity to issue a going concern opinion to a financially distressed client and an increased occurrence of underreporting of fundraising and administrative expenses. Research limitations/implications Taken together, the evidence suggests that ethnic diversity (the opposite of co-ethnicity) in the auditor-client relationship is associated with higher audit quality. These findings are relevant to client managers, audit committees and public accounting firms as they make auditor selection and reporting decisions. Originality/value Prior studies have found that co-ethnicity influences the formation and future success of various business partnerships. The auditor-client relationship is a unique setting within the business environment where the two parties must balance their desire to maintain a close relationship with their need to maintain independence. The study is the first to examine the role of ethnicity in the auditor-client relationship.
ChatGPT, a language-learning model chatbot, has garnered considerable attention for its ability to respond to users’ questions. Using data from 14 countries and 186 institutions, we compare ChatGPT and student performance for 28,085 questions from accounting assessments and textbook test banks. As of January 2023, ChatGPT provides correct answers for 56.5 percent of questions and partially correct answers for an additional 9.4 percent of questions. When considering point values for questions, students significantly outperform ChatGPT with a 76.7 percent average on assessments compared to 47.5 percent for ChatGPT if no partial credit is awarded and 56.5 percent if partial credit is awarded. Still, ChatGPT performs better than the student average for 15.8 percent of assessments when we include partial credit. We provide evidence of how ChatGPT performs on different question types, accounting topics, class levels, open/closed assessments, and test bank questions. We also discuss implications for accounting education and research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.