Quantifying Risk Appetite for Limit Setting
In this webinar, Moody’s Analytics will discuss practical considerations when unifying regulatory and economic capital in investment decisions and the method for measuring this unified approach.
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Managing Credit Risk and Emerging Threats: Lessons from the Gaps Revealed by the Pandemic
Moody's Analytics Managing Director Amnon Levy, Moody's Analytics Director Libor Pospisil, and Moody's Investor's Service Jim Hempstead presented at the International Association of Credit Portfolio Managers Spring Conference entitled Managing Credit Risk and Emerging Threats: Lessons from the Gaps Revealed by the Pandemic.
An Overview of Modeling Credit Portfolios
High-level overview of the modeling methodologies implemented in RiskFrontier™ and their business applications. RiskFrontier calculates a credit investment's value at analysis date, its value distribution at a user-specified investment horizon, and its marginal contribution to portfolio risk, for every instrument in the portfolio.
A Study of COVID-19's Impact on Concentration Risk
We study the impact of COVID on concentration risk, relevant in the context of limit-setting, portfolio allocation, and other concentration-sensitive measures. Analysing a European portfolio, we show how our solutions can be used to navigate the COVID crisis and better understand risk within a portfolio framework.
Incorporating Emerging Risks within Credit Models: Lessons from Sociological Reactions to COVID-19
Crises reveal behavior incongruent to historic patterns, requiring new data and analyses. COVID shows established models did not evaluate credit adequately. The Cross-Sectional COVID Overlay assesses current credit, projected ratings, and loss measures in new ways, anchoring to well-understood starting points and scenarios.
CCAR and 3rd Quarter Reporting: COVID Induced Cultural Shifts in Credit Modeling
With COVID-19 continuing to batter the global economy, many banks are struggling to model credit losses as they prepare for their upcoming Comprehensive Capital Analysis and Review (CCAR) submissions as well as 3rd Quarter earnings.
Incorporating Name-Level Dynamics in Scenario-Based Rating Transition Matrices
We introduce a granular, obligor-level, scenario-based model for rating transition matrices. It recognizes differences in the statistical properties of ratings and forward-looking PDs, deviating from approaches assuming a one-to-one relationship between segment rating and PD or that decouple dynamics of ratings and PDs.
Navigating Credit in Asia Beyond COVID-19
Well-established models that evaluate the current credit environment are not working given COVID-19. Internal ratings cannot update at frequencies required to react well. This paper addresses these challenges, presenting applications users can incorporate into Internal Rating Assessment and Projected Ratings and Loss.
Managing an Insurance Company's Credit Portfolio Through COVID-19
The COVID-19 pandemic has brought credit risks that are unprecedented in size, are fast-changing, and have vastly different manifestations across industries. The uncertainty of impact is driven by epidemiological progression and sociological response, balanced by fiscal and monetary stimulus.
Concentration Risk Consideration During the Allowance Process and COVID-19's Impact
COVID-19 created additional complexities for institutions navigating CECL accounting standard. This paper provides a natural quantitative approach for incorporating concentration in the allowance process and portfolio management.
Non-bank Players are Ready for CECL — Are Banks?
The initial intent of the CECL guidelines was to make loan-loss allowances more reactive to the credit environment. By setting aside greater allowances, organizations would be better prepared for a default.
