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The Spillover Effect of Consolidating Securitization Entities on Small Business Lending

The Accounting Review 2021 96(5), 207-229
I investigate how the consolidation of securitization entities under SFAS 166 and 167 spills over to banks' supply of small business loans, which are rarely securitized in the United States. This spillover operates through two channels. (1) In the leverage channel, consolidating banks downsize their entire loan portfolios, both small business loans and other loans, in response to increased leverage after consolidation. (2) In the risk management channel, consolidating banks adjust the mix of loans to maintain optimal diversification. The adjustment can increase the supply of small business loans when their performance covaries positively with the performance of other loans. I find that, on average, banks that consolidate more securitized assets reduce small business lending; consequently, counties with a greater market share of consolidating banks experience slower growth in small businesses. I also identify a small group of banks with sufficiently large positive performance covariance that increase small business lending. Data Availability: All untabulated results are available upon request.

Bank Lending and Corporate Innovation: Evidence from SFAS 166/167*

Contemporary Accounting Research 2021 38(4), 3017-3052
Understanding the role of bank lending in corporate innovation is important to policymakers, practitioners, and academics. We provide new evidence on such a role by exploiting the implementation of SFAS 166/167, which removed the off‐balance sheet status of certain securitized assets of banks. The regulation affects bank lending and thus represents a credit supply shock to borrowing firms. We find that affected banks raise spreads and cut loan amounts after the regulation. Firms that borrow from affected banks reduce R&D investment and the number and quality of the patents they generate. The reduction is concentrated among firms whose banks experience more downward pressure on capital ratios and greater market discipline, and firms that are more dependent on external financing. Additional analyses reveal that information asymmetry between incumbent banks and outsiders with respect to borrowing firms prevent them from switching. The overall findings suggest that bank lending promotes borrowing firms' innovation activities. Policies that restrict bank lending are likely to hurt innovation of borrowers.

Public Disclosure and Consumer Financial Protection

Journal of Financial and Quantitative Analysis 2024 59(5), 2164-2198 open access
The U.S. Consumer Financial Protection Bureau has released a database of consumer complaints about banks’ financial products to the public since 2013. We find a greater reduction in mortgage applications to banks that receive more mortgage complaints in local markets after the disclosures. The effect is stronger in areas with more sophisticated consumers and higher credit competition, and for banks receiving more severe complaints. The number of monthly mortgage complaints per bank exhibits faster mean reversion after the publication of the database. These findings suggest that the public disclosure of mortgage complaints enhances product market discipline and consumer financial protection.

Does the CARD Act affect price responsiveness? Evidence from credit card solicitations

Journal of Banking & Finance 2024 164, 107199
The CARD Act restricts consumer credit card issuers’ ability to raise interest rates. We examine whether the Act influences the degree to which an issuer adjusts offered interest rates in response to changes in interest rates offered by other lenders in credit card solicitations—the price responsiveness. Using small business card offers as a control group, we find a significant decline in the price responsiveness after the Act. The decline is concentrated among other lenders’ rate reductions rather than rate increases and is more pronounced in areas with more subprime borrowers. The results underscore an unintended consequence of regulating the consumer credit market.

Public audit oversight and the originate-to-distribute model

Journal of Accounting and Economics 2021 72(1), 101420
The originate-to-distribute (OTD) model, in which the originators of mortgages sell or securitize the mortgages to third parties, likely contributed to the 2008 financial crisis. Auditors were blamed for permitting clients to understate the risks of the model in their financial reports, fostering undisciplined lending. We investigate whether public audit oversight influences OTD lending by promoting more vigilant audits of the financial reports of originators. Using a difference-in-differences design prior to the financial crisis, we find reduced OTD lending by banks after the Public Company Accounting Oversight Board (PCAOB) criticizes their auditors’ audits of financial reports regarding OTD transactions. The reduction is greater for banks with poorer risk controls and stronger incentives to manage earnings. We also find a reduction in gains on loan sales and securitizations. The results suggest that PCAOB inspections can help discipline OTD lending, a real effect of public audit oversight in the United States.

Corruption in bank lending: The role of timely loan loss recognition

Journal of Accounting and Economics 2017 63(2-3), 454-478
Building on the recent literature on corruption in bank lending, we examine the effect of country-level timely loan loss recognition by banks on lending corruption using a unique World Bank dataset that covers more than 3,600 firms across 44 countries. We find evidence consistent with timely loan loss recognition constraining lending corruption because it increases the likelihood of problem loans being uncovered earlier. In further analysis, we find timely loan loss recognition to be less associated with reduced corruption in countries where there is significant government ownership in the banking system and deposit insurance schemes. This evidence is consistent with timely loan loss recognition being less of a deterrent to lending corruption when banks are less disciplined by their capital providers.

Labor unemployment insurance and earnings management

Journal of Accounting and Economics 2016 61(1), 166-184
We provide new evidence that firms appear to manage long-run earnings upward in order to manage rank and file employees’ perceptions of employment security. In particular, we exploit exogenous state-level changes in unemployment insurance benefits and test for partial unwinding of prior upward earnings management when benefits increase. Consistent with the hypothesis, we find a significant reduction in abnormal accruals, increased recognition of special items and write downs, and greater likelihood of net income-reducing restatements, following an increase in state-level unemployment benefits. A number of cross-sectional results are also consistent with the hypothesis.

The risk-relevance of securitizations during the recent financial crisis

Review of Accounting Studies 2014 19(2), 839-876
We investigate changes in the risk-relevance of securitized subprime, other nonconforming, and commercial mortgages for sponsor-originators during the recent financial crisis. Using the volatility of realized stock returns, option-implied volatility, and credit spreads, we observe a pronounced increase in the risk-relevance of subprime securitizations as early as 2006. Furthermore, reflecting the evolution of the financial crisis in waves, we find that investors recognized the increased credit risk of other nonconforming and commercial mortgage securitizations as the financial crisis progressed. Additional analyses show that risk-relevance varies cross-sectionally with structural characteristics such as monoline credit-enhancement and the presence of special servicers for commercial mortgage securitizations. Our results inform the current debates on the opacity of securitization structures and highlight the need to take into account cross-sectional and inter-temporal heterogeneity in risk-relevance across securitized asset classes and securitization characteristics (e.g., quality and type of collateral and transaction structure).

Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data

Journal of Accounting Research 2022 60(2), 467-515
We use machine learning methods and high‐dimensional detailed financial data to predict the direction of one‐year‐ahead earnings changes. Our models show significant out‐of‐sample predictive power: the area under the receiver operating characteristics curve ranges from 67.52% to 68.66%, significantly higher than the 50% of a random guess. The annual size‐adjusted returns to hedge portfolios formed based on the prediction of our models range from 5.02% to 9.74%. Our models outperform two conventional models that use logistic regressions and small sets of accounting variables, and professional analysts’ forecasts. Analyses suggest that the outperformance relative to the conventional models stems from both nonlinear predictor interactions missed by regressions and the use of more detailed financial data by machine learning.