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UID:ecad9337de84ab5871b8c97956adb759@egytraining.org
SUMMARY:IFRS 9 – Expected Credit Loss (ECL) Modeling
DESCRIPTION:Introduction\nThe adoption of IFRS 9 has revolutionized how fin
 ancial institutions approach credit loss provisioning through the Expected 
 Credit Loss (ECL) model. This forward-looking model is a critical component
  in expected credit loss accounting\, requiring an in-depth understanding o
 f ECL principles\, methodologies\, and regulatory compliance. This comprehe
 nsive training course is designed to equip participants with the skills and
  knowledge necessary to apply ECL modeling\, implement it effectively\, and
  ensure adherence to IFRS 9 standards. Through practical application and re
 al-world financial instruments\, participants will bridge the gap between t
 heoretical concepts and industry practice.\nCourse Objectives\nBy the end o
 f this course\, participants will be able to:\n\nUnderstand the key princip
 les and framework of IFRS 9\, with a strong emphasis on the Expected Credit
  Loss (ECL) model.\nApply methodologies for calculating ECL\, including Pro
 bability of Default (PD)\, Loss Given Default (LGD)\, and Exposure at Defau
 lt (EAD).\nDevelop and validate ECL models that align with IFRS 9 requireme
 nts and industry best practices.\nInterpret and analyze ECL outcomes for ac
 curate financial reporting and strategic decision-making.\nEnsure complianc
 e with regulatory expectations and internal audit standards\, mitigating ri
 sks of non-compliance.\n\nCourse Outlines\nDay 1: Foundations of IFRS 9 and
  Credit Risk\n\nOverview of IFRS 9 and its impact on financial institutions
 .\nComparison with IAS 39: Key differences and improvements.\nClassificatio
 n and measurement of financial instruments under IFRS 9.\nIntroduction to c
 redit risk and impairment requirements.\nUnderstanding the Expected Credit 
 Loss (ECL) definition and the rationale for a forward-looking model.\nStagi
 ng criteria: 12-month ECL vs. Lifetime ECL.\n\nDay 2: ECL Components and Mo
 deling Basics\n\nCore components of ECL: PD\, LGD\, and EAD.\nApproaches to
  modeling Probability of Default (PD).\nTechniques for estimating Loss Give
 n Default (LGD).\nExposure at Default (EAD) modeling methodologies.\nData s
 ourcing and assessing data quality for effective modeling.\n\nDay 3: ECL Ca
 lculation and Implementation\n\nUnderstanding the ECL formula and the scena
 rio-weighted approach.\nDiscounting of expected cash flows and incorporatin
 g the time value of money.\nIntegrating macroeconomic variables and forward
 -looking information.\nModel validation\, calibration\, and back-testing fo
 r accuracy.\nIncorporating overlays and expert judgment in ECL calculations
 .\n\nDay 4: Practical Applications and Case Studies\n\nSegmenting portfolio
 s for ECL modeling: Retail vs. Corporate exposures.\nReal-world application
 : Developing an end-to-end ECL model.\nHands-on ECL model building using Ex
 cel or Python for practical exposure.\nReviewing financial disclosures and 
 audit trails for transparency.\n\nDay 5: Governance\, Challenges\, and Regu
 latory Expectations\n\nBest practices for model governance and documentatio
 n.\nAddressing model risk and handling validation findings.\nKey audit cons
 iderations and the role of internal controls.\nRegulatory expectations\, in
 cluding Basel\, ECB\, and IFRS IC guidelines.\nWrap-up session: Lessons lea
 rned and the future of ECL modeling.\n\nWhy Attend this Course: Wins & Loss
 es!\n\nMaster IFRS 9 Compliance: Understand the critical principles of IFRS
  9 and how it transforms credit risk assessment through the Expected Credit
  Loss (ECL) model.\nDevelop Practical Skills: Gain hands-on experience in b
 uilding and validating ECL models\, applying them to real-world scenarios u
 sing Excel and Python.\nEnhance Decision-Making: Learn to interpret ECL out
 comes for better financial reporting and risk assessment.\nAchieve Regulato
 ry Compliance: Ensure alignment with IFRS 9\, Basel III\, and other interna
 tional standards to minimize regulatory risks.\nBoost Career Opportunities:
  Equip yourself with in-demand skills in credit risk management\, expected 
 credit loss accounting\, and financial modeling.\n\nConclusion\nBy the end 
 of this course\, participants will have a solid grasp of the IFRS 9 framewo
 rk and the capabilities to apply ECL modeling with confidence. This course 
 empowers professionals to design\, validate\, and implement ECL models\, en
 suring robust compliance with IFRS 9 standards. Participants will be prepar
 ed to enhance their organization's credit risk management processes\, contr
 ibute to accurate financial reporting\, and navigate the complexities of ex
 pected credit loss (ECL) accounting.\nWhether you are part of a financial i
 nstitution\, an auditing firm\, or a regulatory body\, this training will e
 quip you with the tools and expertise to excel in the evolving landscape of
  credit risk assessment under IFRS 9.
LOCATION:Dubai
DTSTAMP:20260614T222951Z
DTSTART:20260604T034500Z
DTEND:20260617T210500Z
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