BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Global Credit Data - ECPv6.15.15//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Global Credit Data
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:20261114T054545
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
END:VCALENDAR