Promoting credit services to small and medium-size enterprises (SMEs) has been a perennial challenge for policy makers … fintech approach to assessing credit risk using big data and machine learning models with the bank approach using traditional … information can complement or, where necessary, substitute credit history in risk assessment, allowing unbanked firms to borrow …

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 … HY share is procyclical, suggesting that lending standards in bond markets are extrapolative. Credit booms with …

This paper studies episodes in which aggregate bank credit contracts alongside expanding economic activity-credit …--on average, they occur every five years. By comparison, banking crises take place every eight years on average. Credit reversals …

Adequate loan classification practices are an essential part of a sound and effective credit risk-management process in … a bank. Failure to identify deterioration in credit quality in a timely manner can aggravate and prolong the problem …

-service-to-income ratios, in affecting developments in house prices and credit. We use data on 99 lending standard restrictions implemented in … house prices and credit. However, the impact is delayed and reaches its peak only after three years. In addition, the impact …

We explore empirically how the time-varying allocation of credit across firms with heterogeneous credit quality matters … credit allocation, captured by Greenwood and Hanson (2013)'s ISS indicator, helps predict downside risks to GDP growth and … systemic banking crises, two to three years ahead. Our analysis indicates that the riskiness of credit allocation is both a …

commercial credit rating agencies. Estimates for 20 emerging market economies show that sovereign ratings react procyclically to … run up to the crises. Simulations suggest modest efficiency gains of using sovereign credit ratings for capital …

We analyze the transmission of bank-specific liquidity shocks triggered by a credit rating downgrade through the … lending channel. Using bank-level data for US Bank Holding Companies, we find that a credit rating downgrade is associated …

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 remained largely a black box for the nontechnical audience. This paper … contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1 …