Contemporary Accounting Research最新文献

We examine whether the change in earnings announcement textual tone, aggregated across individual publicly traded firms, helps predict gross domestic product (GDP) growth. The literature finds that changes in aggregate accounting earnings do help predict GDP growth, but only when aggregate earnings changes are negative. Because conservative accounting rules limit managers' ability to communicate positive news promptly, we examine the tone of quarterly corporate earnings announcements as a possible source of timely positive information provided by firms. We find that the change in aggregate tone in the earnings announcements from the same quarter in the previous year predicts one-quarter-ahead GDP growth, but only when the change is positive. Our study contributes to the literature by investigating the relation between aggregate corporate disclosure tone and macroeconomic outcomes.

We examine whether a firm's corporate social responsibility (CSR) actions that benefit external parties can cause the firm's employees to reduce their effort. We expect employees will reduce their effort in response to their firm's external CSR actions when they perceive that they are treated poorly by the firm and that the firm's external CSR actions use resources that could have been readily transferred toward improving employee treatment. We expect that, when employees hold both of these perceptions, they will react negatively to the firm's CSR actions due to heightened feelings of unfairness. Results support our expectations and theory. We find that employees respond negatively to CSR only when they perceive that they are treated poorly by their firm and that CSR uses transferable resources. Further, we find these effects are driven by employees' perceptions of the fairness of their firm's actions toward employees. Our study suggests that firms should consider how employees perceive their treatment by the firm and the transferability of the resources used for CSR actions that benefit external parties.

We examine how public enforcement and private enforcement interact to contain self-dealing activities in emerging markets. Using data from China, we find that firms receiving comment letters concerning related party transactions (RPTs) from stock exchanges significantly reduce their RPTs in subsequent years. We further find that (1) the subsequent reduction in RPTs is more pronounced when independent directors have higher career or reputation concerns and (2) independent directors are more likely to dissent or resign if their firms do not significantly reduce RPTs after receiving RPT comment letters, especially if they have high reputation concerns. Our study sheds light on a within-firm mechanism through which public enforcement takes effect. Our empirical findings also illustrate how “sunshine enforcement”—maintaining timely transparency of the enforcement process—can significantly enhance the effectiveness of regulatory programs.

Public accountants are in high demand by non-accounting firms. While this demand attracts high-quality accountants to public accounting, it can negatively impact audit quality by distracting auditors. We find that the number of metropolitan statistical area–level busy season job postings for public accountants by non-accounting firms is positively associated with misstatements. Results are most pronounced (1) when outside job opportunities are from non–publicly traded companies, which likely provide better work-life balance, and (2) when auditors are under a heavier workload, as captured by higher audit fee-to-auditor ratios and increased job postings by audit offices leading into the busy season. Results also suggest that accounting firms that provide large pay increases before the busy season can mitigate the negative audit-quality effects of busy season job postings for public accountants. These results suggest that accounting firms are not immune to negative effects of auditor distraction from outside job opportunities despite accounting firms knowing that their auditors are highly sought after by non-accounting firms.

The study provides large-scale descriptive evidence on the timing and nature of corporate financial tweeting. Using an unsupervised machine learning approach to analyze 24 million tweets posted by S&P 1500 firms from 2012 to 2020, we find that firms are more likely to tweet financial information around significantly negative or positive news events, such as earnings announcements and the filing of financial statements. This convex U-shaped relation between the likelihood of posting financial tweets and the materiality of accounting events becomes stronger over time. Whereas research based on early samples concludes that firms are less likely to disseminate financial information on Twitter when the news is bad and material, the symmetric dissemination behavior we find suggests that these conclusions should be revised. We also show that a machine learning algorithm (Twitter-Latent Dirichlet Allocation) is superior to a dictionary approach in classifying short messages like tweets.

This paper investigates how banks utilize soft information to provide contractual flexibility in loan covenant enforcement. We find that relationship lenders are significantly less likely than non-relationship lenders to enforce covenants for material violations when borrowers are potentially in breach of financial covenants. The mitigation of information asymmetry by relationship lending, as opposed to alternative explanations, serves as the underlying mechanism. Furthermore, relationship borrowers with potential covenant breaches are less likely to experience increases in loan interest rates after renegotiation, to adopt conservative financial or investment policies, or to file for bankruptcy. Following potential covenant breaches of borrowers, relationship banks are better able to preserve regulatory capital and secure future lending business. Our findings suggest that soft information accumulated during lending relationships is vital for banks to provide contractual flexibility.

This study examines whether using cash-flow-based performance metrics (CFM) in CEO compensation contracts affects the design of loan contracts. Cash-flow-based performance evaluation explicitly motivates the CEO to improve the firm's cash flows, which may enhance debt repayment ability and reduce credit risk. We thus hypothesize that lenders, anticipating this incentive effect, offer lower loan spreads and reduce cash-flow-based performance covenants when firms use CFM in CEO compensation contracts. Consistent with our expectation, the use of CFM is associated with lower loan spreads and less use of cash-flow-based performance covenants. These findings remain robust after we account for endogeneity. Furthermore, these results are more pronounced in firms with higher credit risk or risk of cash flow shortfalls, suggesting that lenders consider internally generated cash flows more valuable when borrowers face higher external financing costs or have greater liquidity concerns. Additionally, we find that using CFM is associated with improved cash flow performance and enhanced creditworthiness, which supports the notion that CFM is an effective incentive mechanism. Overall, our evidence suggests that lenders consider the incentive effect of cash-flow-based performance evaluation in the debt contracting process.

This study investigates whether and how firm-specific news media coverage affects corporate voluntary disclosure. I predict that media coverage influences managers' disclosure decisions by directing investor attention toward firms and increasing investor demand for firm information. I find that managers are more likely to issue earnings guidance if their recent earnings guidance receives more media coverage. The relation between media coverage and guidance issuance is stronger for news articles that purely disseminate information quickly and are published by news outlets that target institutional investors. Consistent with my hypothesis that media coverage influences investor demand for information, I find evidence that media coverage of guidance positively relates to subsequent institutional information search activity, which in turn positively relates to future guidance issuance. Examining sources of plausibly exogenous variation in media coverage, I find further corroborative evidence of a positive relation between media coverage and earnings guidance. Overall, these analyses indicate that the news media influence managers' provision of voluntary disclosure.

We develop a composite firm-year earnings quality score (EQSCORE) that uses signals based on fundamental analysis. We obtain a proprietary data set of 613 reports about aggressive reporting practices over 2004–2009 for 230 unique firms from a research firm (RF). From these reports, we identify red flags of poor earnings quality relating to (1) sales quality, (2) margin quality, (3) cash flow quality, (4) corporate governance, (5) audit, and (6) others. We construct the EQSCORE using 51 signals employed by the RF and a novel approach that imitates the RF's process for discovering earnings quality. The EQSCORE outperforms existing composite models of earnings quality in identifying accounting and auditing enforcement releases and restated firm-years and predicts future stock returns. The corporate governance–related and audit-related red flags included in the EQSCORE complement accounting-based red flags and enhance the ability of the EQSCORE to identify firms with poor earnings quality.

This study investigates how using technologies that increase the perceived ease of information access, such as search engines, can affect investors' judgments. Relying on the “Google effect” theory, I predict that using a search engine to access financial information will lead to shallower processing of that information, causing earnings fixation. The results of three experiments support this prediction and the theoretical process. Specifically, investors who access financials via a search engine are less likely to react to the information in the income statement other than earnings compared to those who do not use a search engine. In addition, search condition investors are more likely to mention earnings in their investment reasoning and find earnings more influential than the control condition investors. Furthermore, search condition investors believe that information is more likely to be available in the future and are more likely to reopen the income statement. A second experiment shows that the knowledge that the information will be easily reaccessed increases investors' earnings fixation. Finally, a third experiment provides evidence that using a search engine reduces the depth of information processing. This study extends accounting research by showing that using technologies that increase the perceived ease of information access can reduce investors' processing depth and information acquisition.