BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Global Credit Data - ECPv6.15.15//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://globalcreditdata.org
X-WR-CALDESC:Events for Global Credit Data
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20180325T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20181028T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190709T140000
DTEND;TZID=Europe/Paris:20190709T150000
DTSTAMP:20261113T034905
CREATED:20190522T090514Z
LAST-MODIFIED:20210927T233230Z
UID:4890-1562680800-1562684400@globalcreditdata.org
SUMMARY:Webinar: Learn to sample GCD data for quality and representativeness
DESCRIPTION:Beginning of the year\, GCD released its second authoritative report on loss given default (LGD) for large corporate borrowers with a turnover above €50m. According to the data\, banks recover\, on average\, 76% of debts owed by large corporate borrowers after default. This is significantly higher than the 55% recovery rate implemented by the Basel Committee on Banking Supervision for corporate exposure under the foundation IRB approach. \nThe findings are based on a reference data set comprising 10\,737 defaulted borrowers and 18\,465 facilities\, from 58 lenders worldwide. The fact that the findings are in line with the previous report in 2018 confirms the stability and consistency of GCD’s data sets and the reliability of the long-term estimates. \nGCD supports its member banks with protocols\, toolings and detailed validation rules\, to use the data as efficient as possible. We invite all (new) data users to join our next webinar on July 9th 2019 at 2pm CEST / 8am EST / 10pm AEDT detailing \n\nHow to create a reference data set with GCD data\,\nHow to best address the aspect of representativity and data quality\nHow to make use of the existing SAS tooling and validation rule table\n\n  \nLogin details:  \nMeeting URL:  \nhttps://globalcreditdata.zoom.us/j/703040050 \nJoin by Phone:  \nNL +31 (0) 20 241 0288 or +31 (0) 70 808 1008 \nUS: +1 669 900 6833 or +1 929 436 2866 \nMeeting ID: 703 040 050 \nFurther international numbers: https://globalcreditdata.zoom.us/zoomconference?m=_meoWyE9zcxHPmq7tMe7L_lr_puNua4X \n  \n  \n  \n  \n  \n  \n  \n  \n  \n \nContact person: \nDaniela Thakkar  \nLocation: \nZoom Call
URL:https://globalcreditdata.org/events/creating-a-compliant-reference-data-set-on-gcd-data/
ATTACH;FMTTYPE=image/jpeg:https://globalcreditdata.org/wp-content/uploads/2018/11/photo-1518600570419-81324064e9ae.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190715T140000
DTEND;TZID=Europe/Paris:20190715T143000
DTSTAMP:20261113T034905
CREATED:20190709T080318Z
LAST-MODIFIED:20210927T233229Z
UID:4896-1563199200-1563201000@globalcreditdata.org
SUMMARY:Special Working Group LGD Reference Model (15/7/2019)
DESCRIPTION:Dear LGD reference model WG members\, \nSince two weeks\, we’ve had discussions with FCG\, Pubudu and the chairs of the WG. \nThe situation is now clarified in that the extension would require a delay of minimum 6 weeks with risks regarding the validity of applying the LC RDS onto this new scope. \nTherefore\, it is asked to vote pro or cons the extension of the scope. \nPlease vote by email by replying to this email to olivier.plaetevoet@globalcreditdata.org or by attending the last special WG this Monday July 15th at 2pm-2:30pm CET / 8am-8:30am EDT / 10pm-10:30pm AEST  . \n  \nDetailed information: \nArguments for the rescoping: \na) The current study is based on the assumption that the Large Corporate segmentation is representative for LGD modelling. Basing on this assumption may lead to inaccurate results. \nb) The study is not relevant for banks that don’t use the Basel FAC segmentation (eg. Canadian banks). \n  \nArguments against the rescoping: \na) An estimated delay of minimum 6 weeks will occur given that we need to rescope from a LC to a total scope. It means Modelling done by mid-September and Documentation done by mid-October. This planning doesn’t take into consideration the definition of a new RDS! Therefore\, FCG estimates there is a strong risk that the conclusion will be incorrect in case the RDS doesn’t fit the larger scope (see points below). \nb) The Large Corporate scope was chosen because we decided to start the WG in a controlled environment (with a validated LC report and RDS). Once the method proves to be validated by satisfying results\, we can direct the study toward a larger scope in a second stage. \nc) The purpose of using a RDS conflicts with extending it to a different scope because it is defined for a specific representativeness purpose : \n“The purpose of creating an RDS is to match as closely as possible the risk conditions of a target portfolio of a single bank.  Therefore\, a single standard RDS could not possibly suit all users.  In this report GCD bases the analytics on a filtered data set which combines elements of representativeness and data quality.” \nd) Therefore\, if we don’t take into account point (c) and still enlarge the currently defined RDS for LC\, it will probably not fit the whole portfolio; for the following reasons: \n\nFor the Large Corporate RDS\, member decided to exclude borrowers with an EAD less than 100.000 euros. Can this threshold be meaningful for the entire data set? Even for SME?\nMembers also decided to exclude borrowers with more than 10 loans\, expecting that this might cause overweighting. Is this applicable to Project Finance asset class for example?\n\ne) Creating a new RDS on the whole portfolio is a time-consuming exercise. Based on the previous experience of defining the LC RDS\, it took more than a year including validations. \n  \nPlease submit your vote (for or against the rescoping) by replying to this email (to olivier.plaetevoet@globalcreditdata.org ) before the special WG. If you wish to discuss it\, feel free to join the working group this Monday 15th July between 2pm and 2:30pm CET / 8am-8:30am EDT / 10pm-10:30pm AEST . \n \nAganda: \nhttps://www.globalcreditdata.org/wp-content/uploads/2019/07/wg_lgd_reference_model.ics
URL:https://globalcreditdata.org/events/special-working-group-lgd-reference-model-1572019/
CATEGORIES:WG LGD Reference Model
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190722T080000
DTEND;TZID=Europe/Paris:20190722T170000
DTSTAMP:20261113T034905
CREATED:20190417T094534Z
LAST-MODIFIED:20210927T233233Z
UID:4882-1563782400-1563814800@globalcreditdata.org
SUMMARY:South African Forum Johannesburg July 2019
DESCRIPTION:Venue: Think Precinct\, 1 Merchant Place\, Cnr Fredman Drive & Rivonia Road\, Sandton 2196 \nGlobal Credit Data’s South African Forum was hosted by First Rand / RMB in Johannesburg.  \nIn this 1-day event\, members\, academics and GCD excecutives presented on different approaches on how to deal with the challenges credit risk modelling is currently facing when it comes to modelling LGD\, EaD and PD for various purposes within a bank.  \nFew highlighted topics that will be part of the event:  \nLGD modelling for Real Estate\nSpecialized Lending and Slotting Approach\nIFRS9\nBenchmarking\nRound table discussions on how banks use GCD data\n  \nThis event is for members only as well as based on invitations sent out to dedicated specialists from the industry. Please contact us for any inquiries.\n  \nPlease find here the final agenda.  \n  \n \n \nContact person: \nDaniela Thakkar  \nLocation: \nJohannesburg
URL:https://globalcreditdata.org/events/south-african-forum-johannesburg-july-2019/
ATTACH;FMTTYPE=image/jpeg:https://globalcreditdata.org/wp-content/uploads/2019/04/south_african_conference_july_2019.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190723T150000
DTEND;TZID=Europe/Paris:20190723T163000
DTSTAMP:20261113T034905
CREATED:20190711T084551Z
LAST-MODIFIED:20210927T233228Z
UID:4898-1563894000-1563899400@globalcreditdata.org
SUMMARY:GCD LGD Subcommittee Meeting #3/2019
DESCRIPTION:July 23rd 2019 \nTime: 15:00-16:30 CET (Amsterdam Time) \nJoin Zoom Meeting \nhttps://globalcreditdata.zoom.us/j/929770530 \nOne tap mobile\n+16699006833\,\,929770530# US (San Jose)\n+19294362866\,\,929770530# US (New York) \nDial by your location\n        +1 669 900 6833 US (San Jose)\n        +1 929 436 2866 US (New York)\nMeeting ID: 929 770 530\nFind your local number: https://zoom.us/u/abL3Yawkl \nhttps://globalcreditdata.zoom.us/j/929770530  \nContact person: \nErik Rustenburg  \nLocation: \nhttps://globalcreditdata.zoom.us/j/929770530 \n \nAganda: \nhttps://www.globalcreditdata.org/wp-content/uploads/2019/07/lgd_subcommittee_material_23rd_july_2019.pdf
URL:https://globalcreditdata.org/events/gcd-lgd-subcommittee-meeting-32019/
CATEGORIES:Methcom Subcommittee "LGD & EAD platform"
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190725T160000
DTEND;TZID=Europe/Paris:20190725T170000
DTSTAMP:20261113T034905
CREATED:20200627T074252Z
LAST-MODIFIED:20210927T233216Z
UID:4957-1564070400-1564074000@globalcreditdata.org
SUMMARY:General Meeting of Members July 2019
DESCRIPTION:The Board of Global Credit Data hereby gives notice to its members of a General Meeting to be held on 27 June 2019 at 1400 Central European Time. The meeting is to be held electronically\, as allowed under Article 32a of the Articles of Association. \nThe business to be discussed at the meeting shall include: \n1.            Approval of minutes of the General Meeting held in June 2018 \n2.            Review of the Annual Report of Activities \n3.            Approval of the 2018 Financial Statements \n4.            Release of Directors from liability \n5.            Annual Appointment of Auditors for 2019 \n6.            Approval of 2020 budget including contracts therein \n7.            Amendments Articles of Association \n8.            Possible amendments to Data Pool Regulations \n9.            Publications of GCD material \n10.          Election of Board Members \nDelegates of members wishing to put forward further items for discussion at this meeting are requested to contact the Executive Director (richard.crecel@globalcreditdata.org) as soon as possible.  \nAs per Rules of Associations\, the quorum in order to pass resolutions is at least 50% of members attending or voting at the meeting ; with a >50% majority of votes in favour of the resolution.  Members not wishing or able to attend are requested to register their vote in advance. \nIf the above remains as the agenda\, then we anticipate a meeting of approximately 2 hours. \nIn case all votes are received before the meeting\, the results regarding resolutions passed and rejected will be shared in advance to the meeting\, which may then be shortened.
URL:https://globalcreditdata.org/events/clone-of-general-meeting-of-members-july-2019/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190730T140000
DTEND;TZID=Europe/Paris:20190730T150000
DTSTAMP:20261113T034905
CREATED:20190704T083544Z
LAST-MODIFIED:20210927T233229Z
UID:4893-1564495200-1564498800@globalcreditdata.org
SUMMARY:Interactive session - Support for Compliance
DESCRIPTION:Interactive session – Support for Compliance (July 30th 2019) \nAgenda: \n\nIntroduction\nPresentation of the FCG compliance report\nDiscussion\n\n \nAganda: \nhttps://www.globalcreditdata.org/wp-content/uploads/2019/07/interactive_session_support_for_compliance_july30th_2019.ics
URL:https://globalcreditdata.org/events/interactive-session-support-for-compliance-july30th-2019/
ATTACH;FMTTYPE=image/jpeg:https://globalcreditdata.org/wp-content/uploads/2019/07/photo-1518600570419-81324064e9ae_1.jpg
END:VEVENT
END:VCALENDAR