中文目錄
1.強制安排與自愿性企業(yè)社會責任
2.網(wǎng)絡攻擊沿著企業(yè)供應鏈傳播
3.會計信息價值相關性演變
4.利用公司間經(jīng)濟聯(lián)系來檢測會計欺詐
5.美國關鍵審計事項的披露和后果
6.基礎設施投資熱潮中的貨幣刺激

1.Does a Government Mandate Crowd Out Voluntary Corporate Social Responsibility? Evidence from India（JAR2023）

This study investigates the implementation of a Government of India mandate that requires firms to spend at least 2% of their profits on corporate social responsibility (CSR). The results show that qualifying firms that voluntarily engaged in CSR before the mandate reduce their CSR spending afterward. Despite increasing advertisement expenditure likely to offset the lost signaling value of voluntary CSR, stock prices and operating performance of former voluntary CSR spenders who qualify under the law decline. Our results suggest that regulatory intervention in CSR can both diminish its signaling value and lead to a reduction in voluntary CSR spending.

2.Pirates without borders: The propagation of cyberattacks through firms’ supply chains（JFE2023）

This paper examines the supply chain effects of the most damaging cyberattack in history so far. The attack propagated from the directly hit firms to their customers, causing a four-fold amplification of the initial drop in profits. These losses were larger for affected customers with fewer alternative suppliers. Internal liquidity buffers and increased borrowing, mainly through bank credit lines, helped firms navigate the shock. Nonetheless, the cyberattack led to persistent adjustments to the supply chain network, with affected customers terminating trading relations with directly hit firms and forming new ones with alternative suppliers with a stronger cybersecurity posture.

3.Evolution in Value Relevance of Accounting Information （TAR2023）

We address how value relevance of accounting information evolved as the new economy developed. Prior research concludes that accounting information—primarily earnings—has lost relevance. We consider more accounting items and find no decline in combined value relevance from 1962 to 2018. We assess evolution in each item’s value relevance and find increases, most notably for items related to intangible assets, growth opportunities, and alternative performance measures, which are important in the new economy. The number of relevant items also increases. We also consider separately new economy, old economy profit, and old economy loss firms. The trends are more pronounced for, but extend beyond, new economy firms. We base inferences on a nonparametric approach that does not require specifying the valuation relation. Taken together, our findings reveal an evolution to a more nuanced, but not declining, relation between accounting information and share price.

4.Using Economic Links between Firms to Detect Accounting Fraud （TAR2022）

We explore whether accounting fraud can be detected using the information of firms economically linked to a focal firm. Specifically, we examine whether customer information disclosed by a supplier firm, combined with customers’ accounting information, helps to detect the supplier’s revenue fraud. We first confirm the economic link between the supplier and customers by showing a strong positive correlation between the supplier’s sales growth and the growth rate of total customer purchases. We then introduce two variables based on customer accounting information—the discrepancy between supplier sales growth and customer purchase growth and customer excess purchases—and show that they are predictive of supplier revenue fraud. We conduct a battery of cross-sectional tests and generally find results to vary cross-sectionally in a predictable way. Finally, the out-of-sample tests indicate that adding the two variables to Dechow, Ge, Larson, and Sloan (2011) model increases fraud prediction accuracy.

5.The Disclosure and Consequences of U.S. Critical Audit Matters （TAR2023）

This study uses difference-in-differences (DiD) analyses to examine the consequences of adopting the U.S. critical audit matter (CAM) disclosure requirement for preparers and users of financial reports. The CAM requirement is one of the largest expansions of the U.S. audit report since the 1940s. We document significant changes to financial statement footnotes referenced by CAMs, which suggests an indirect consequence where management disclosure changes in areas that are expected to be scrutinized following auditor-provided disclosure. Results also suggest that, on average, CAM disclosures do not provide incremental information to the market. To further examine market reaction, we develop well-specified prediction models for the expected number and subject areas of CAMs. We find limited initial evidence that the market reacts negatively when unexpected CAMs are disclosed. Overall, our findings provide insights on the new CAM standard and particularly demonstrate its relevance to management disclosure decisions and to the market.

6.Monetary Stimulus amidst the Infrastructure Investment Spree: Evidence from China's Loan-Level Data（JF2023）

We study how a fiscal expansion via infrastructure investment influences the dynamic impacts of monetary stimulus on credit allocation. We develop a two-stage approach and apply it to the Chinese economy with a confidential loan-level data set that covers all sectors. We find that infrastructure investment significantly weakened monetary policy's transmission to credit allocated to private firms, while reinforcing the monetary effects on loans to state-owned firms. This fiscal-monetary interaction channel is key to understanding the preferential credit access enjoyed by state-owned firms during the stimulus period. Consequently, monetary stimulus crowded out private investment and decreased capital allocation efficiency.