This paper employs an unsupervised machine learning technique to construct a novel measure that captures tight multidimensional interconnections among lenders. We show both the likelihood and intensity of loan renegotiation increase with this measure. The results are robust to controlling for...

Using novel receivable-based-loan data, we study the effect of aging-report loan covenants on borrowers' accounts receivable reporting quality. Our purpose is to highlight a channel that lenders use to obtain private information and to understand whether lenders' information acquisition affects...

Using novel receivable-based-loan data, we study the effect of aging-report loan covenants on borrowers' accounts receivable reporting quality. Our purpose is to highlight a channel that lenders use to obtain private information and to understand whether lenders' information acquisition affects...

How do developments at lending institutions that alter the way they grant and monitor loans influence their borrowers' financial reporting quality (FRQ)? We examine this question by investigating the influence that privatizations of Chinese state banks (CSBs) had on the quality of their...

We use the subset of Paycheck Protection Program (PPP) loans that were extended to public firms as a laboratory to separate between favoritism and informational advantages in lending relationships. Because PPP loans are guaranteed by the government and banks do not need to carefully screen...

This paper investigates whether private information from lending activities improves the forecast accuracy of bank-affiliated analysts. Using a matched sample design, matching by affiliated bank or borrower, we demonstrate that the forecast accuracy of bank-affiliated analysts increases after...