China’s corporate credit market has grown rapidly in recent years as both a cause and effect of its growing economy.
Yet the global economy is starting to show growing pains amid various signs of late-cycle behavior – a global slowdown would adversely affect China’s export-driven economy. We see emerging pockets of credit risk within China and a downturn in the economy would exacerbate these risks. Knowing exactly where these risks lie is crucial for effectively managing a credit portfolio, both now and, going forward, if the Chinese economy were to slow.
In this webinar our Moody’s Analytics experts provide insights on China’s corporate credit market and how to effectively manage credit risk as the cycle starts to turn. The discussion points include:
- Recent credit risk trends within China. Which industries are most at risk?
- A discussion of credit metrics and tools to help risk managers effectively monitor their portfolio.
- Case studies of recent Chinese defaulters. Can these tools be used as an early warning signal of default risk?
- Using stressed expected loss analysis for internal risk identification, as well as for regulatory compliance such as IFRS 9.
Median Chinese corporate Expected Default Frequencies under five economic scenarios (%)
Source: Moody's Analytics
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.
In this presentation, learn more about ECL quantification tools to support CECL implementation across all major asset classes, including dual-risk rating models (PD/LGD), credit cycle adjustment and scenario conditioning models, segment-level loss rate models and discounted cash flow (DCF) and non-DCF methodologies.
In this webinar, David Fieldhouse, Director in Consumer Credit Analytics and Glenn Levine, Associate Director within the Capital Markets Research Group provide an overview of ECL quantification tools Moody’s Analytics offers to support CECL implementation across all major asset classes.
Since the global financial crisis, bank stress testing has become an essential part of regulators’ toolkits for monitoring and maintaining financial stability. Anticipating the results of a formal stress test through simulation can enhance a bank's internal risk management as well as provide strategic business insight.
Brexit Fallout: Using Scenario Analysis and a Systemic Risk Approach to Assess Corporate Credit Risk
The June 23rd referendum, in which UK voters chose to leave the European Union, has fanned financial volatility and may precipitate a recession in the UK economy. The updated economic and financial outlook has implications for corporate credit risk.
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.