Job Market Paper, single-authored
Won 2025 Dyckman Research Grant Awards
Abstract: This study examines the effects of international harmonization of accounting standards—specifically, the Expected Credit Loss (ECL) model—on credit market dynamics in informal economies. Motivated by global initiatives to improve financial reporting transparency, the shift to the ECL framework altered lenders' risk-assessment practices. Using the staggered rollout of ECL in Ghana, I find that adopting banks operating in more-informal communities increase loan loss provisions by about 3% and reduce lending by about 15% relative to adopting banks in less-informal areas. The contraction in lending is driven by reduced non-collateralized loans to households and small enterprises alongside higher interest rates and compliance costs. Importantly, these adjustments are not explained by realized losses, which decline, but by greater documentation frictions under the new standards. These shifts correspond to reduced economic activity in more informal areas. My findings show that global accounting harmonization, while intended to improve transparency, can unintentionally exacerbate financial exclusion where information frictions are most severe.
Presentations: Emerging Scholars in Accounting Conference at Frankfurt School of Management (Oct 2025), Conference on The Role of Accounting and Information Frictions in Microenterprises (Rice University-Sep 2025)
R&R at The Accounting Review, with Mary Adenle (UT Austin), Tendai Masaya (Penn State), and David Park (CUHK, Shenzhen)
Abstract: Section 1502 of the Dodd-Frank Act requires SEC filers to disclose their use of conflict minerals in their products to ensure supply chain transparency on minerals that could contribute to financing armed groups. Motivated by the continuous decline in conflict minerals disclosures (CMD) filings, we examine the effect of private pressure on the disclosures. Specifically, we investigate whether and how exerting private pressure on firms through their grievance mechanisms, in the form of an anonymous person informing a firm that one of its suppliers is, in fact, sanctioned, affects its subsequent CMD choices. Using a randomized field experiment, we find that informing firms of the potential sanction violation causes them to remove the sanctioned entity from, or explain why it remains in, their CMD. Providing a disclosure example explaining why a firm may have a sanctioned entity in its CMD increases the focal firm’s likelihood of explaining rather than removing the entity from its disclosures. We also analyze firms' engagement levels with our inquiries and find that many firms actively investigated the concerns we highlighted via their grievance mechanisms. Overall, we find some evidence that private pressure through grievance mechanisms affects corporate disclosure choices.
Presentations: HARC 2025, AAA 2025, 2024 Midwestern Accounting Conference
Under Review, with John Donovan (Notre Dame), Arthur Morris (HKUST), and Michael Iselin (University of Minnesota)
Abstract: We study how loan pricing uncertainty affects the design of private debt contracts. We focus on a novel source of uncertainty arising from the transition of adjustable-rate loans from LIBOR to SOFR as the benchmark rate. Unlike many measures of uncertainty tied to borrower or macroeconomic conditions, this benchmark rate uncertainty directly affects loan payoffs but is largely orthogonal to borrower performance. We track syndicated loans from origination through subsequent amendments and employ a difference-in-differences design that exploits the staggered and largely mandatory nature of the LIBOR–SOFR transition. We find that loans exposed to increased loan pricing uncertainty include more financial covenants as a way for lenders to seek control rights in case that uncertainty resolves unfavorably. Our results highlight the role of loan pricing uncertainty in shaping covenant use and contribute to the broader literature on debt contracting design and the role of financial covenants.
Under Review, with Albert Mensah (HEC Paris)
Abstract: Relationship lenders extract rents by leveraging private borrower information unavailable to outside lenders. We examine whether alternative data (hereafter, “alt data”) can narrow this gap. Using digital foot-traffic data, we construct an iOS share measure capturing customer-affluence information that historically only relationship lenders could infer. Increases in this measure reduce loan spreads for relationship borrowers, after controlling for both ex-ante and ex-post changes in credit risk. The residual spreads beyond credit risk adjustments are consistent with a decline in economic rents. The results indicate that alt data diffuse borrower specific customer information to competing lenders, diminish informational hold up, and ultimately tilt bargaining power towards borrowers in relationship lending.
Status: Data analysis, with Samuel Chang (Chicago Booth), Hans Christensen (Chicago Booth), and Donald N’Gatta (MDE Business School)
Status: Data collection, single-authored