Promoting credit services to small and medium-size enterprises (SMEs) has been a perennial challenge for policy makers globally due to high information costs. Recent fintech developments may be able to mitigate this problem. By leveraging big data or digital footprints on existing platforms,...

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...

We use loan-level data on syndicated lending to a large sample of developing countries between 1993 and 2017 to estimate the mobilization effects of multilateral development banks (MDBs), controlling for a large set of fixed effects. We find evidence of positive and significant direct and...

Portfolio credit risk measurement is greatly affected by data constraints, especially when focusing on loans given to unlisted firms. Standard methodologies adopt convenient, but not necessarily properly specified parametric distributions or simply ignore the effects of macroeconomic shocks on...

Value-at-Risk (VaR) models often are used to estimate the equity investment that is required to limit the default rate on funding debt. Typical VaR ""buffer stock"" capital calculations produce biased estimates. To ensure accuracy, VaR must be modified by: (1) measuring loss relative to initial...

Credit ratings have contributed to the current financial crisis. Proposals to regulate credit rating agencies focus on micro-prudential issues and aim at reducing conflicts of interest and increasing transparency and competition. In contrast, this paper argues that macro-prudential regulation is...

This paper describes and evaluates the sovereign credit ratings methodologies of Standard & Poor''s, Moody''s Investors Service, and Fitch Ratings. A simple definition of ratings failure-based on ratings stability-is proposed and tested, pointing to falling failure rates, consistent upside bias,...