Estimating expected credit losses on banks' portfolios has long been difficult. The issue has become of increasing interest to academics and regulators, as the FASB and IASB consider new regulations for impairment of loans. This study develops a measure of the one-year-ahead expected rate of...

This study develops a timely and unbiased measure of expected credit losses. The expected rate of credit losses (ExpectedRCL) is a linear combination of various non-discretionary credit risk-related measures disclosed by banks. ExpectedRCL performs substantially better than net charge-offs,...

Estimating expected credit losses on banks' portfolios is difficult. The issue has become of increasing interest to academics and regulators with the FASB and IASB issuing new regulations for loan impairment. We develop a measure of the one-year-ahead expected rate of credit losses (ExpectedRCL)...

This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...