With constantly evolving, interconnected threats and opportunities, risk managers need a complete picture of portfolio risks, emerging risks, and mitigation strategies to advise the business confidently. Moody’s Analytics PortfolioStudio software combines portfolio analytics and decision enabling tools to effectively identify, measure, and manage risk.
Our SaaS offering joins our expertise with the benefits and flexibility of the cloud. Choosing SaaS, you outsource the hosting, managing, and maintenance of the solution. This means that your solution fits your business needs; comes with state-of-the-art business intelligence; is always up to date; and is scalable, flexible, and secure. With seamless upgrades, reduced total cost of ownership, and greater cost predictability, the subscription model is ideal for businesses looking to adapt to growing demands without revisiting their entire solution setup.
The PortfolioStudio tool is part of Moody’s Analytics cloud-native, integrated Risk and Finance platform. This suite of award-winning solutions combines leading risk analytics and highly scalable processing capabilities that enable you to address risks with speed and precision and drive growth.
Moody’s Analytics PortfolioStudio software combines portfolio analytics and decision-enabling tools to effectively identify, measure, and manage risk.
Moody’s Analytics is pleased to announce the launch of PortfolioStudioTM , new cloud-based credit portfolio management software. PortfolioStudio provides a whole portfolio view of current and emerging risks in one platform so users can scan for risks and opportunities, evaluate possible actions, and decide how to act.
This document provides a high-level overview of the modeling methodologies implemented in Moody’s Analytics RiskFrontier™ and their business applications.
Credit portfolio models rely on estimated and calibrated parameters. Users of these models must understand how various errors in the parameter estimates impact model outputs, for example Unexpected Loss (UL) or Economic Capital (EC). In this paper, experts address how these errors translate into statistical errors in the estimated UL and EC.
The European retail correlation model builds on the forward-looking, multi-factor global correlation model that has been extensively validated since its first release in 1997. This model adds a great level of granularity into our correlation framework, allowing for more accurate identification, quantification, and management of portfolio credit risk.
Commercial real estate (CRE) exposures constitute a large share of credit portfolios held by financial institutions. In this paper, we provide an overview of the Moody’s Analytics Global Correlation model (GCorr) for European CRE instruments, GCorr 2020 Europe CRE.
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