Knowledge that Transforms

I study whether commercial banks' loan loss allowances were inadequate during the 2008 financial crisis because bank managers relied on low-quality information to estimate loan losses. To measure the quality of information collected on bank-held mortgages prior to the crisis, I create a bank exposure-to-mortgage fraud risk index (EFI) that captures overstatement of borrower income in mortgage applications. I find banks that originated more loans in high-risk neighborhoods had less adequate loan loss allowances during the crisis. My study is consistent with the hypothesis that fraudulent borrower information adversely affected banks’ loan loss provisioning.

We investigate the relationship between private firms' disclosures and the demand for the equity of their publicly traded peers. Using data on the global movement of portfolio investments in public equity, we find that a 10% increase in private firm disclosure transparency – proxied by the number of disclosed private firms' financial statement line items – reduces global investors’ demand for public equity by 4.3% or $358 million per investee country-industry. These findings are consistent with private firm disclosures generating negative pecuniary externalities – global investors reallocate their capital away from public firms to more transparent private firms – and less consistent with these disclosures creating positive information externalities that would benefit public firms. Consistent with this interpretation, we find that the reduction in demand for public equity is offset by a comparable increase in capital allocation to more transparent private firms. Using a simulated instruments approach and the staggered implementations of electronic business registers in investee countries in Europe as plausibly exogenous shocks to private firm transparency, we conclude that the negative relationship between private firm disclosures and public equity demand is likely causal.

The past 25 years have seen an exponential growth in the number of China studies in the leading accounting journals. The rise in China-related research mirrors the country's increased importance on the global stage and a growing appreciation of the economic importance of Chinese institutions. We organize our review of the China literature around three central themes: 1) political and regulatory institutions, 2) China's relationships with foreign investors, and 3) the availability of novel data and regulatory shocks. The former two themes address research questions that are more China-centric, while the third exploits the China setting to examine questions that are more universal. We highlight the contributions that China studies have made to the broader accounting literature, the limitations of the current literature, and we offer suggestions for future research directions.

We analytically study the economic consequences of the disclosure of managerial compensation contracts in a setting where two firms, by designing compensation contracts for their respective managers, compete for a new investment opportunity. Each manager is privately informed about her firm's profitability from this investment. We find that the disclosure leads to firms' emphasizing short-term stock performance in their managers' contracts. This, in turn, induces managers to signal favorable private information via myopic overinvestment, which deters rival firms' investments and gains their own firms a competitive edge. Nonetheless, such strategic use of compensation contracts is absent when the contracts are not disclosed; under this regime, equilibrium contracts only focus on long-term outcomes. Moreover, while disclosure-mandate-induced managerial myopia erodes firm profits, it may benefit consumer and social welfare. Our theory illuminates the economic consequences of the Compensation Discussion and Analysis (CD&A) disclosure implemented in 2006.

We identify a specific organizational resource in brokerage houses—information sharing among analyst colleagues who cover economically related industries along a supply chain. After controlling for brokerage selection effects, we show evidence consistent with the benefit of this resource to analyst research performance. Specifically, we find that analysts whose colleagues cover more economically connected industries have better research performance, especially when their colleagues produce higher-quality research. We further show that colleagues' coverage of downstream (upstream) industries is positively related to the accuracy of only analysts’ revenue (expense) forecasts and that analysts and their highly connected colleagues tend to issue earnings forecast revisions contemporaneously. Last, we find that analysts with economically connected colleagues tend to have a higher level of industry specialization. Overall, our findings suggest that analysts rely on organizational resources to produce high-quality research. Hence, a portion of their performance and reputation is not transferable across employers.

We examine the effect of CSR information on stakeholder decision-making, specifically on supply-chain contracting. To obtain plausibly exogenous variation in CSR information, we exploit the 2017 expansion of CSR rating coverage from Russell 1000 to Russell 2000 firms (hereafter, “treated firms”) by Thomson Reuters Asset4. Using a difference-in-differences design with the previously covered Russell 1000 supplier firms as the control group, we find a negative effect of the CSR information shock for treated suppliers with comparatively low CSR ratings. On average, these suppliers experience reductions in their number of contracts and corporate customers. In cross-sectional analyses, we document variation in our treatment effects consistent with two underlying mechanisms: (i) benchmarking of suppliers' CSR by corporate customers and (ii) CSR-related public pressure on customer-supplier contracting. Collectively, our findings provide novel evidence on the causal effect of CSR information on stakeholder decision-making.

This paper provides empirical evidence for the role of technology spillover, an important innovation externality, in asset pricing. Using patent and R&D data, I show that firms with more technology spillover earn 7.7% higher annualized returns than firms with less technology spillover. Exploiting three quasi-natural experiments, I find that the return effect is strengthened (attenuated) when there is a plausibly exogenous increase (decrease) in the flow of technological information across firms. I also find that firms with more technology spillover have higher cash flow sensitivity to aggregate consumption, numbers of new products, and stock return synchronicity. These findings are consistent with models on learning about new technology; specifically, spillover enables learning about new technology to facilitate timely and large-scale adoption of new technology, which in turn exposes spillover recipients to additional systematic risk. These findings highlight the influence of innovation externality on stock returns.

Prior research provides mixed evidence about whether competition among auditors impairs or improves audit quality. An impediment to this stream of research is the inability of researchers to observe the audit engagement bidding process. We develop a method of detecting bidding by applying a machine learning algorithm to non-incumbent (i.e., competitor) auditor views of public companies’ SEC filings. We validate our method using a proprietary sample where all instances of bidding are known. We then examine the associations between bidding, audit quality, and audit pricing. Contrary to concerns that competitive pressure may cause auditors to compromise their independence, we find that incumbent auditors perform higher quality audits during bidding years. This improvement in audit quality occurs regardless of whether the bidding ultimately results in an auditor change and persists for several years when the incumbent auditor wins reappointment. We also find that bidding is associated with modest audit fee concessions.

This study examines whether we can learn from the behavior of blockchain‐based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on‐chain service providers. The mapped data set permits us to empirically conduct several analyses. First, we analyze abnormal transfer volume in the vicinity of large‐scale highly visible terrorist attacks. We document evidence consistent with heightened activity in coin wallets belonging to unregulated exchanges and mixer services—central to laundering funds between terrorist groups and operatives on the ground. Next, we use forensic accounting techniques to follow the trails of funds associated with the Sri Lanka Easter bombing. Insights from this event corroborate our findings and aid in our construction of a blockchain‐based predictive model. Finally, using machine‐learning algorithms, we demonstrate that fund trails have predictive power in out‐of‐sample analysis. Our study is informative to researchers, regulators, and market players in providing methods for detecting the flow of terrorist funds on blockchain‐based systems using accounting knowledge and techniques.

Using an international sample of 2,113 initial coin offerings (ICOs), we explore the role of disclosure and information intermediaries in the unregulated crypto‐tokens market. First, we document substantial cross‐sectional variation in the voluntary disclosure practices of ventures seeking to raise capital through ICOs, such as the extent of information released in a prospectus‐type document called a white paper; releasing the technical source code; and communicating through social media platforms. Second, we find that, even with limited disclosure verifiability, ventures with higher levels of disclosure have a greater ability to raise capital. Finally, we find that this association is stronger in the presence of mechanisms that lend credibility to ventures’ voluntary disclosures, such as internal governance practices or external scrutiny from information intermediaries. Overall, our results suggest that voluntary disclosure and information intermediaries facilitate the functioning of ICOs as an alternative capital market.