eFRM Coach: Quantitative Analysis - Online

Drawing on proprietary risk management resources, eFRM Coach is designed to be a comprehensive online tutorial for the Financial Risk Manager (FRM®) Exam. The Exam is conducted by the Global Association of Risk Professionals (GARPTM).

The eFRM Coach provides a framework to structured exam preparation. It comprehensively addresses all subject areas featuring in the exam. The interactive study modules provided in the coach foster benchmarking and self-assessment against other candidates and the mock exams are modeled on the same lines as the final exam.

This is an asynchronous eLearning course that can be accessed 24/7 from any internet enabled computer.

Available TodayOnlineUSD$150
Instructional Method:
Self-Study
Level: Intermediate

Those interested in sitting for the Financial Risk Manager (FRM®) Exam.
  • eFRM Coach: Market Risk Measurement and Management - Online
  • eFRM Coach: Credit Risk Measurement and Management - Online
  • eFRM Coach: Operational and Integrated Risk Management, Legal, Accounting and Ethics - Online
    • Time Value of Money
    • Concept and importance of the time value of money
    • Various methods to calculate the present and the future value of cash flows
    • Present and future value of an annuity
    • Concept of amortization, net present value and internal rate of return

    Logarithm and Exponents

    • The concept of exponents and their properties
    • Application of exponents in finance
    • The concept and the properties of logarithm
    • Comparison between the two types of logarithm

    Probability Distributions and Their Properties

    • The concept of probability distribution
    • The different types of probability distribution
    • The properties of each distribution

    Fundamentals of Statistics I

    • Parameter estimation
    • Chi square test and goodness of fit
    • Analysis of Variance and F-Test

    Fundamentals of Statistics II

    • Correlation, its types and the calculation
    • Regression and its calculation
    • Multiple regression
    • Measuring returns and time aggregation

    Forecasting Correlation and Volatility

    • Understand the concept of volatility and volatility clustering
    • Acquire knowledge of conditional volatility models viz., Exponential Moving Average approach and GARCH
    • Analyze the importance of time errors and the impact of crashes on correlation and its effect on VaR calculation

    Extreme Value Theory

    • The concept of extreme value theory
    • Extreme value theory methodologies viz., Block Maxima and the Peak Over Threshold (POT) approach
    • The strengths and limitations of extreme value theory

    Monte Carlo Methods

    • Stochastic processes
    • Simulation model for stock prices
    • Models of yield curve
    • Binomial trees
    • Simulation for VaR
    • Simulation for derivatives
    • Variance reduction techniques
    • Cholesky factorization

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