Knowledge that Transforms

Exploiting the unique features of the CDP, the world-leading platform of corporate climate risk disclosures, we study the relationship between institutional investors' demand for climate-related information (as reflected in their CDP signatory status), firms' decision to disclose this information, and corporate carbon emissions. We provide systematic international evidence that ownership by CDP signatories is positively associated with the probability of disclosing information to the CDP, and that such disclosure is associated with subsequent lower carbon emissions. We also observe that CDP signatories are more likely to engage with and divest from top emitters disclosing to the CDP. Overall, these results are consistent with the notion that investor demand for climate-related information results in greater corporate disclosure and contributes to firms’ decisions to lower future carbon emissions.

We study the roles of the head office (HO) and the business units (BUs) of a multinational corporation (MNC) in reducing income tax and tariff payments through internal transfer prices in international trades. Using confidential transfer price data of a large MNC, we analyze how the different elements of internal transfer prices set by the HO and BUs vary differently from external prices with income tax rates, tariff rates, and the tradeoff between the two. Absent severe agency conflicts, we find that the BUs contribute more to tax planning than the HO, despite that explicit incentives to do so are not included in the compensation schemes. The roles of the HO and BUs vary with product market competition, the risk of conflicts with tax and customs authorities, and agency problems within the firm. Moreover, we provide evidence of strategic trade cost allocations among BUs to reduce income taxes.

We examine whether Governmental Accounting Standards Board (GASB) financial statement disclosure alters local governments' economic decision-making. To do so, we exploit a recent GASB standard that eliminated differences in the disclosure requirements for county governments' pension obligations. The standard, GASB 68, had no effect on pension economics or the annual budget—it affected only whether and how information was presented on GASB financial statements. Using a broad hand-collected dataset, we document that counties that did not disclose information about their pension obligations before GASB 68 reduced public welfare expenditures, employment, and salary expenses relative to those that had disclosed such information. We conduct extensive field research and employ several cross-sectional analyses to conclude that the effects we document are in part driven by increased awareness of the financial costs of pension obligations by newly disclosing counties.

We examine the spillover effect of public firm disclosures on the patent trading market. The patent market is rife with information frictions, yet can potentially facilitate the reallocation of innovation to the most productive users. We find that going from the 25th percentile to the 75th percentile in public firm presence – our proxy for public firm disclosures – is linked to a 9.4% increase in other related parties’ future patent sales. The positive link between public firm presence is stronger where information asymmetry is greatest and where information uncertainty prevails relative to transactions less likely to suffer from information frictions. Tests exploiting cross-sectional variation and public firms’ EDGAR implementation corroborate the resolution of information frictions as a mechanism. Additional tests reveal financial statement disclosure as an important information source facilitating patent sales. Our results speak to an important and underexplored externality of public firm disclosures – its contribution to the patent market.

We find that the staggered passage of state-level laws that legalize marijuana for medical use increases states' borrowing costs by 7–9 basis points. Consistent with economic theory on substance use suggesting that marijuana legalization increases local consumption of the drug (by expanding its availability and reducing its perceived risks), we predict and find that increased consumption represents an important mechanism that explains the higher state bond spreads. We also show that following such laws’ passage, states incur higher marijuana-consumption-related expenditures, including for police, corrections, and public welfare.

We find that a new compensation disclosure item on expected payouts from performance-based stock grants reveals unique information regarding future firm performance. Extracting inferred performance expectations from the disclosures, we find that firms disclosing the highest expected grant payout significantly outperform in ROA, Q, sales growth, and profit margin over the next two years, while those disclosing the lowest expected payout underperform. The embedded information is not captured by other information channels, such as managerial earnings guidance, 10-K sentiment, insider selling activities, unexplained CEO pay, and analyst forecasts. Investors and analysts do not fully incorporate the information and are later surprised around earnings announcement days. A portfolio that buys firms with the highest performance expectation and shorts firms with the lowest expectation earns significantly positive abnormal returns. Our findings suggest that the enhanced compensation disclosure contains valuable information, but investors underreact to information that is difficult to collect and process.

This paper explores the shock of school closures caused by the COVID-19 pandemic to study the effect of childcare responsibilities on analyst forecasts. With manually collected data on whether analysts have children, I find that female analysts with children (mother analysts) are less likely to issue timely forecasts after school closures, compared to male analysts with children (father analysts). Mother analysts’ forecasts also become less accurate after school closures, but the negative effect only exists among forecasts for firms with relatively low institutional ownership, suggesting that mother analysts prioritize maintaining the forecast accuracy for firms that are more important to their careers. Additionally, mother analysts shift forecast release times to avoid childcare hours. My findings imply that childcare responsibilities hurt the productivity of mother analysts more than that of father analysts, even though these women have established themselves in a competitive industry.

We describe the taxation landscape in the cryptocurrency markets, especially concerning U.S. taxpayers, and examine how recent increases in tax scrutiny have led to changes in crypto investors' trading behavior. We argue conceptually and then empirically document that increased tax scrutiny leads crypto investors to utilize conventional tax planning with tax-loss harvesting as an alternative to non-compliance. In particular, domestic traders increase tax-loss harvesting following the increase in tax scrutiny, and U.S. exchanges exhibit a significantly greater amount of wash trading. Additional findings suggest that broad-based and targeted changes in tax scrutiny can differentially affect crypto traders’ preference for U.S.-based exchanges. We also discuss other gray areas for tax regulation related to new crypto assets, such as Non-Fungible Tokens and Decentralized Finance protocols, that further highlight the importance of coordinating tax policy and other regulations.

We study financial reporting and disclosure practices in China using survey methods similar to prior studies of U.S. firms (i.e., Graham et al., 2005; Dichev et al., 2013). Comparing earnings features, motives to manage and smooth earnings, and voluntary disclosure practices between the two countries, we reveal three major differences. First, Chinese firms exhibit a stronger preference for predictive, relative to verifiable, attributes of earnings that can signal stable firm performance to their stakeholders. Second, smooth earnings are desired by various stakeholders and can be achieved through coordination among connected stakeholders, which is conceptually different from earnings management. Third, Chinese firms consider public disclosure as less relevant in the reduction of the cost of capital. In addition, Chinese firms do not have a bias towards conservative reporting. We explain and reconcile these differences as resulting from some unique institutional features of China. Our study provides novel field evidence that contributes to, expands, and directly corroborates existing empirical studies.