Valuing NPL is the base for portfolio and capital management and requires to project ultimate recoveries using the best available data. The volume of legacy NPL on banks’ balance sheets will be augmented sensitively by the potentially hard recession that may result from the covid19 pandemic. Burkhard Heppe from NPL Markets and Richard Crecel from Global Credit Data will discuss the current situation of NPL buyers and sellers, the need for "bad loans banks" and how valuation platforms and a structured loan loss data collection can help in times of the Covid-19 crisis. Please register here to get further information (material & login details).    /////////////////////////////////////// The topics:  Introduction to NPL Markets and the market for NPL Impact of current crisis on bank loan defaults and recoveries Different valuation types of NPL: hold or sell Using GCD data for NPL valuations Determine a break-even price for selling NPL "Bad banks" - needed to overcome the crisis?  Login: https://globalcreditdata.zoom.us/j/95946679029 Meeting ID: 959 4667 9029 Alternatively by phone: Germany: +49 69 7104 9922 Netherlands: +31 20 794 7345 France: +33 7 5678 4048 Italy: +39 069 480 6488 UK: +44 330 088 5830 Canada: +1 778 907 2071 US: +1 929 436 2866 Australia: +61 […]

Get hands on with LGD Modelling using LGD Data: Webinar workshop with FCG on a model building exercise Philip Winckle is joined by modelling expert Thomas Aldheimer from FCG to walk through a joint GCD/FCG exercise in using GCD data to build LGD models.  The modelling work was overseen and instructed by a GCD member working group and used GCD standard definitions to develop a range of models, with a focus on Machine Learning The webinar will be in a workshop format with a focus on modelling methods, details and choices made, as well as detailed outcomes. The event is scheduled on June 16th, 2020 from 3 pm to 5 pm CEST / 9 am to 11 am EST.   On the agenda: Explore just how usable GCD data can be when building forward looking LGD models Comparing drivers observed in the data to those normally used in the industry Explore the additional benefits of using Machine Learning to enhance model predictiveness This workshop will benefit both hands on modellers and model managers as well as people working with credit risk data who want to see how it is used in practice. Please register here. In case of further questions, you […]

After a successfull first part on June 12th, 2020 (recording available), we continue with the series of webinars on the business usage of GCD data:  Valuing NPL is the base for portfolio and capital management and requires to project ultimate recoveries using the best available data. The volume of legacy NPL on banks’ balance sheets will be augmented sensitively by the potentially hard recession that may result from the covid19 pandemic. Burkhard Heppe from NPL Markets and Richard Crecel from Global Credit Data will zoom into a real live example on using GCD data in the NPL transaction market.  Please register here to get further information (material & recording).    Agenda: 1. Data and valuation expertise from Global Credit Data & NPL Markets 2. Covid-19 update and impact on bank loans 3. Valuation of illiquid corporate loans using GCD data 4. Challenges for performing and non-performing loans 5. A framework for valuing loans during a crisis     Login information: Meeting URL: https://globalcreditdata.zoom.us/j/97552388808 Meeting ID: 975 5238 8808 International call-in numbers:  Click here    

Risk Modeling is more important than ever The world is facing an uncertain time. Economic growth and/or recovery rates are uncertain, default rates are uncertain and the rate of credit losses on those defaults is uncertain. Even the right way to model these risks is not certain. This survey is designed to spark critical thinking and conversations within bank wholesale model development teams and to give them a unique insight into how their peers are set up, how they model risks and how they are adjusting to account for the Covid-19 pandemic. In exchange for your response, you will receive the full anonymized results, providing critical context and insight to inform your thinking and discussions. The sections of the survey include: Section 1: Segmentation of Rating Models Section 2: Rating Grades of PD Model Section 3: Development and Implementation of Rating Models Section 4: Model Performance Section 5: Overlays Section 6: Pandemic Related Questions Section 7: Provision impacts (CECL /IFRS)   The survey will take approximately 30 minutes to complete.  Please take some time to complete the GCD 2020 survey and share your insight with us.  Survey 2020