网站综合信息 www.alll.com
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    • ALLL.com | Allowance for Loan and Leas 
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    • 描述:
    • The destination site for the ALLL (allowance for loan and lease losses) calculation and FASB'S  
    • 域名信息
    • 域名年龄:25年10个月2天  注册日期:2000年03月19日  到期时间:2017年11月22日
      注册商:GODADDY.COM, LLC 
    • 服务器空间
    • IP:72.47.244.111 同IP网站1个 详情
      地址:美国 加利福尼亚州洛杉矶县卡尔弗市Media Temple股份有限公司
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    域名注册Whois信息

    alll.com

    域名年龄: 25年10个月2天
    注册时间: 2000-03-19
    到期时间: 2017-11-22
    注 册 商: GODADDY.COM, LLC

    获取时间: 2017年06月12日 10:13:45
    Domain Name: ALLL.COM
    Registrar: GODADDY.COM, LLC
    Sponsoring Registrar IANA ID: 146
    Whois Server: whois.godaddy.com
    Referral URL: http://www.godaddy.com
    Name Server: NS07.DOMAINCONTROL.COM
    Name Server: NS08.DOMAINCONTROL.COM
    Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
    Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited
    Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
    Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
    Updated Date: 2016-11-23
    Creation Date: 2000-03-19
    Expiration Date: 2017-11-22

    >>> Last update of whois database: Mon, 2017-Jun-12 02:14:06 GMT <<<

    For more information on Whois status codes, please visit https://icann.org/epp

    Domain Name: ALLL.COM
    Registrar URL: http://www.godaddy.com
    Registrant Name: Tech Team
    Registrant Organization: Sageworks Inc
    Name Server: NS07.DOMAINCONTROL.COM
    Name Server: NS08.DOMAINCONTROL.COM
    DNSSEC: unsigned

    For complete domain details go to:
    http://who.godaddy.com/whoischeck.aspx?domain=ALLL.COM
    同IP网站(同服务器)
  • 72.47.244.111 共1个网站 (美国 加利福尼亚州洛杉矶县卡尔弗市Media Temple股份有限公司)
  • ALLL.com | Allowance for
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    网站首页快照(纯文字版)
    抓取时间:2016年11月10日 00:13:58
    网址:http://www.alll.com/
    标题:ALLL.com | Allowance for Loan and Lease Losses | CECL Model
    关键字:
    描述:The destination site for the ALLL (allowance for loan and lease losses) calculation and FASB'S CECL model, including whitepapers, webinars and expert advice
    主体:
    ALLL.comWhy ALLL.com?About SageworksLoginRegisterExact matches onlySearch in titleSearch in contentSearch in commentsSearch in excerptSearch in postsSearch in pagesSearch in groupsSearch in usersSearch in forumsBrowse SectionsRegulation ArticlesMethodology ArticlesInsider ArticlesPeer DiscussionsResource CenterBrowse CategoriesSearch News, Resources, and DiscussionsMenuClose MenuALLL RegulationsCECL ModelNewsExpectations for ALLLRegulatory UpdatesVendor Due DiligenceALLL MethodologyPreparing for the ALLLQuantitative CalculationQualitative FactorsPurchased LoansReporting & PresentingALLL InsidersResource CenterPeer DiscussionsNov 8, 2016CECL PrepWhen should institutions begin to execute preliminary CECL calculations?A recent Sageworks seminar on the most recent information related to implementing the FASB's current expected credit loss model, or CECL, covered timelines for beginning preliminary calculations. Nov 3, 2016CECLRegression analysis for CECL calculationsRegression analysis is a simple tool with direct applicability to the new current expected credit loss (CECL) model’s requirement to apply “reasonable and supportable” forecasts to reserve levels. Oct 27, 2016WebinarWebinar: Data Quality Considerations for CECL MeasurementAs institutions make strides to prepare their data for CECL, Garver Moore, director of special research for Sageworks Advisory Service Group, provides an overview of common data problems institutions face for the CECL transition and outlines immediate steps to ensure that information needed for CECL calculations is accessible and sound in time for implementation.Oct 24, 2016Vintage AnalysisVintage analysis and data collectionVintage analysis is not overly complicated, but its expanded data retention and supporting factor requirements could necessitate changes to current workflows and practices. Oct 10, 2016Data requirementsWebinar: CECL – Initial & subsequent measures of lossIn June, the accounting guidance for measuring expected credit losses was finalized, and institutions have since been trying to decipher its requirements and ramifications. Watch the replay of a webinar featuring Senior Risk Management Consultant Neekis Hammond as he unpacked initial and subsequent measures of loss under CECL methodology.LatestNovember 8, 2016CECL PrepWhen should institutions begin to execute preliminary CECL calculations?A recent Sageworks seminar on the most recent information related to implementing the FASB's current expected credit loss model, or CECL, covered timelines for beginning preliminary calculations. November 3, 2016CECLRegression analysis for CECL calculationsRegression analysis is a simple tool with direct applicability to the new current expected credit loss (CECL) model’s requirement to apply “reasonable and supportable” forecasts to reserve levels. October 27, 2016CECL data qualityWebinar: Data Quality Considerations for CECL MeasurementAs institutions make strides to prepare their data for CECL,

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