In this webinar we discuss how some Small and Medium Sized Enterprises (SMEs) will have enough working capital relative to fixed expenses to withstand an extended business closure, but many will need help.
- What types of SMEs are relatively well positioned?
- What types are most vulnerable? How much help will they need?
This report summarizes the credit condition for North American corporate firms until end of July 2020, by analyzing the CreditEdge™ EDF measure as well as other market-based metrics.
This report summarizes the credit condition for North American corporate firms until end of June 2020, by analyzing the CreditEdge™ EDF measure as well as other market-based metrics.
In this webinar, we’ll address the macroeconomic impact of the pandemic, how SMEs in particular have been impacted, and what skills lenders will need to appropriately assess business viability and, ultimately, repayment capacity.
North American corporates experienced very steep credit quality decline following the global COVID-19 pandemic. By the end of May 2020, the median EDF value of North American corporate ﬁrms was 2.02%, retreating slightly from a high of 2.31% at the end of March 2020. This report details EDF credit metrics for May 2020.
Some Small and Medium-Sized Enterprises (SMEs) in the UK and beyond will have enough working capital relative to fixed expenses to withstand an extended business closure, but many will need help.
In this report, we provide an analysis of COVID-19 effects and implications for leveraged lending for North American corporates.
In 2020, small- and medium-sized enterprises will need help to reopen and survive. Using a unique dataset, we assess how much and what type of financing these firms will need.
COVID-19 will have far reaching effects on the accounting for CECL and IFRS 9.
Expanding Roles of Artificial Intelligence and Machine Learning in Lending and Credit Risk Management
With ever-expanding and improving AI and Machine Learning available, we explore how a lending officer can make good decisions faster and cheaper through AI. Will AI/ML refine existing processes? Or lead to completely new approaches? Or Both? What is the promise? And what is the risk?
Is a financial statement decision useful? Is it informative enough to make a loan, acquire a company, increase a limit or move a borrower to work out? The quality of financial statements is a concern for all firms, especially as the demand for faster and more accurate due diligence grows.