This paper examines the performance of new online lending markets that rely on nonexpert
individuals to screen their peers' creditworthiness. We find that these peer lenders predict an …

Credit record panel data from 1999–2010 indicates that the likelihood of home equity
extraction (borrowing, on average, about $40,000 against one's home) peaked in 2003 …

Both sell-side analysts and the media are information intermediaries in capital markets. This
study investigates the association between sell-side analyst research and information in firm …

This paper studies the economics behind the investment in information technologies (IT) by
US commercial banks in the past decade. By linking banks' IT spending to their lending …

Because payment delays and defaults significantly affect both lenders and borrowers in
fragile economies, strategies to improve timely loan repayment are needed to help make …

The amount of data stored by banks is rapidly increasing and provides the opportunity for
banks to conduct predictive analytics and enhance its businesses. However, data scientists …

This paper investigates the extent to which the regional credit market structures,
characterized by the presence and lending capacity of traditional banks, shape the growth of …

Using debt crowdfunding data, we investigate whether borrowers' writing style is associated
with an online lender and borrower behaviors, whether the information contained in …

We ask whether the correlation between mortgage leverage and default is due to moral
hazard (the causal effect of leverage) or adverse selection (ex ante risky borrowers choosing …

Using a proprietary database from a large Chinese state‐owned bank, we examine whether
information evolved from banking relationships predicts commercial loan default by …