Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have...

While some credit booms are followed by economic underperformance, many are not. Can lending standards help separate good credit booms from bad credit booms contemporaneously? To observe lending standards internationally, I use information from primary debt capital markets. I construct the...

Although credit rating agencies have gradually moved away from a policy of never rating a private borrower above the sovereign (the ""sovereign ceiling"") it appears that sovereign ratings remain a significant determinant of the credit rating assigned to corporations. We examine this link using...

Assessing default risks for Chinese firms is hard. Standard measures of risk using market indicators may be unreliable because of implicit guarantees, the large role played by less-informed investors, and other market imperfections. We test this assertion by estimating stand-alone 1-year default...

We examine the link between the quality of fiscal governance and access to market-based external finance. Stronger fiscal governance is associated with improvements in several indicators of market access, including a higher likelihood of issuing sovereign bonds and having a sovereign credit...