时间：2025年1月10日（周五）13:00-15:00

地点：柳林校区诚正楼645、腾讯会议688-210-579

主持人：陈磊 教授（会计学院院长助理）

时间：13:00-13:40

报告1：The Impact of the New Revenue Standard on Accruals Quality: An Analysis of ASC 606 and ASC 340-40

报告人：贺惠宇（新加坡管理大学）

摘要：The new revenue standard (ASU 2014-09, codified in ASC 606 and ASC 340-40) establishes a comprehensive framework on accounting for contracts with customers, replacing most existing revenue recognition rules. Using as-reported data from structured filings to construct aggregate accruals that are potentially affected by the new revenue standard (i.e., sales-related accruals), I find that the new revenue standard significantly improves the quality of sales related accruals on average, as measured by future cash flow predictability. The improvement comes from both the revenue guidance (ASC 606) and the cost guidance (ASC 340-40), and it is concentrated among firms conducting long-term sales contracts. Further analysis shows that accruals quality improves for firms affected in different ways, suggesting that the new revenue standard can be applied robustly across transactions and industries. However, the discretion under the new guidance facilitates earnings management when firms face strong manipulation incentives.

时间：13:40-14:20

报告2：What Do Resumes Tell Us About Accounting Rookie Job Candidates’ Research Potential?

报告人：龙真（武汉大学）

摘要：Universities allocate significant resources each year to recruit faculty from PhD programs, yet many hires fail to achieve tenure, often due to insufficient research productivity. This study explores whether the faculty recruitment process can be enhanced by using machine learning to identify candidates with higher research potential earlier in the hiring process. Focusing on the accounting rookie job market, we develop a research productivity prediction model that leverages readily available job application materials: (i) candidate resumes, (ii) the rankings of their educational institutions and the research productivity of their dissertation advisors and coauthors, and (iii) their job market papers. Despite human recruiters having access to broader information than our prediction model, our model consistently outperforms traditional human judgment in predicting future research productivity. Notably, resumes prove to be the most powerful predictors of research productivity, while the job market paper contributes minimal predictive value once resume data is incorporated.

时间：14:20-15:00

报告3：Strategic ESG Discussions and CEO Career Concerns  

报告人：张柘（麦克马斯特大学）

摘要：This study examines the association between the strategic discussions of ESG during earnings calls and CEOs’ career concerns. Using state-of-the-art textual analysis and modeling for CEO dismissal probabilities, I identify a positive association between heightened career concerns and the frequency of ESG discussions in earnings calls, particularly those pertaining to material ESG topics. I show that CEOs strategically discuss more material ESG issues without the corresponding outcomes. This is often accompanied by the use of complex language or a positive tone to mitigate potential financial risks associated with these discussions. Overall, the findings indicate that CEOs frequently use ESG discussions during earnings calls as a strategic tool to secure their positions by diverting attention from potential career-damaging factors to their ESG commitments. This has implications for market participants in discerning genuine ESG engagements from strategic discussions and enhancing decision-making processes in corporate governance and investment.