In this webinar Moody’s Analytics discuss the Marco-economic and credit market conditions likely to affect the future risk of default for Chinese companies; way to measure and manage the default risk of Chinese firms, and strategies for early detection of default risk.
Credit Where Due Blog Series
Moody's Analytics Early Warning System helps streamline the portfolio management process. It empowers users to make better, faster credit decisions with a new suite of metrics, tools, and analytics.
A new study from Moody's Analytics uses a quantitative Expected Default Frequency (EDF) model to assess the impact of the pandemic on corporate credit risk in Southeast Asia.
As COVID-19 spreads globally, fear and uncertainty are rising, roiling financial markets and pushing the global economy towards recession. This report uses Moody’s Analytics CreditEdge™ public-firm EDF™ (Expected Default Frequency) metrics to assess the impact that the coronavirus has had so far on credit risk.
Flybe Group Plc, a UK airline with hubs in Manchester and Birmingham, ceased operations on March 5, 2020 as travel disruption caused by COVID-19 compounded the firm's financial troubles.
In this webinar, we will use Moody’s Analytics EDF metrics to assess the impact COVID-19 has had so far on corporate credit risk.
Company AA, a U.S.-based transportation company, defaulted in August, 2018. The Moody’s Analytics EDF™ (Expected Default Frequency) metric and Early Warning Toolkit highlighted the company’s rising default risk 33 months before default. This case study details how the EDF measure and Early Warning Toolkit can assess risk.
As firms move ahead in meeting a variety of regulations, executives are looking for solutions that not just meet these requirements, but improve business processes.
Power Your Portfolio Management Practice with Benchmark Data and Advanced Insights.
Regulatory compliance has significantly altered the model development and validation landscape, while increasing the amount of data to be validated.