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Principles for Effective Risk Data Aggregation and Risk Reporting (FRM P1 - Book 1 - Chapter 13) 

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For FRM (Part I & Part II) video lessons, study notes, question banks, mock exams, and formula sheets covering all chapters of the FRM syllabus, click on the following link: analystprep.com/shop/unlimite...
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After completing this reading, you should be able to:
- Explain the potential benefits of having effective risk data aggregation and reporting.
- Describe key governance principles related to risk data aggregation and risk reporting practices.
- Identify the data architecture and IT infrastructure features that can contribute to effective risk data aggregation and risk reporting practices.
- Describe characteristics of a strong risk data aggregation capability and demonstrate how these characteristics interact with one another.
- Describe the characteristics of effective risk reporting practices.
0:00 Introduction
0:33 Learning Objectives
0:57 Benefits of Effective Risk Data Aggregation and Reporting
7:10 Key Governance Principles Related to Risk Data Aggregation and Risk Reporting
12:37 Data Architecture and Infrastructure
16:27 Accuracy and Integrity
20:09 Completeness
22:06 Timeliness
24:38 Adaptability
26:42 Comprehensiveness
27:18 Clarity and Usefulness
28:20 Frequency
29:23 Distribution
29:39 Supervisory Review, Tools and Cooperation
30:08 Book 1 - Foundations of Risk Management Chapter 13 PRINCIPLES FOR EFFECTIVE RISK DATA AGGREGATION AND RISK REPORTING

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22 июл 2024

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Комментарии : 4   
@thewisearchitect
@thewisearchitect Месяц назад
You have explained everything in a very clear and concise way. Thank you.
@analystprep
@analystprep 11 дней назад
Glad it was helpful! If you like our video lessons, it would be appreciated if you could leave us a review at www.trustpilot.com/review/analystprep.com
@anamikapb
@anamikapb 8 месяцев назад
Thanks a ton for such a simplied explanation of concepts !!
@michael_castillo_m
@michael_castillo_m 5 месяцев назад
muchas gracias, muy buena explicación de conceptos. Quisiera conocer más sobre modelos de aplicación para agregación de riesgos.
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