FRM Exam 2011 Details

FRM program is now conducted in a two-level examination format.

The exam is administered manually in paper and pencil format. The FRM Exam can be scheduled in various cities around the world. A complete list of the cities is located under the Exam Sites link on the GARP website.

FRM Part 1 Exam Information

Part I covers core areas of risk management such as quantitative analysis, financial markets and products, and essential risk modeling.

The FRM Exam Part 1 is given in booklet form. Candidates are given 4 hours to complete the 100 multiple-choice questions.

FRM Part 1 Exam Outline

Topics CoveredWeight
Foundations of Risk Management20%
Quantitative Analysis20%
Financial Markets and Products30%
Valuation and Risk Models30%

FRM Part 2 Exam Information

Part 2 covers specific topics on the practical implementation and execution of approaches to measuring and managing market, credit, operational and firm-wide risks, and also includes a new section covering current issues in financial markets.

FRM Part 2 Exam Outline

Topics CoveredWeight
Market Risk Measurement and Management25%
Credit Risk Measurement and Management25%
Operational and Integrated Risk Management25%
Risk Management and Investment Management15%
Current Issues in Financial Markets10%
Finance Train Premium
Accelerate your finance career with cutting-edge data skills.
Join Finance Train Premium for unlimited access to a growing library of ebooks, projects and code examples covering financial modeling, data analysis, data science, machine learning, algorithmic trading strategies, and more applied to real-world finance scenarios.
I WANT TO JOIN
JOIN 30,000 DATA PROFESSIONALS

Free Guides - Getting Started with R and Python

Enter your name and email address below and we will email you the guides for R programming and Python.

Saylient AI Logo

Accelerate your finance career with cutting-edge data skills.

Join Finance Train Premium for unlimited access to a growing library of ebooks, projects and code examples covering financial modeling, data analysis, data science, machine learning, algorithmic trading strategies, and more applied to real-world finance scenarios.