Risk Measures and Models
Value at Risk, Expected Shortfall, and Volatility Measurement
About This Course
Course Information
This course tests your knowledge of Financial Risk, Calculating and Applying VaR, and Measuring & Monitoring Volatility.
Certificate on Completion
This course is made up of videos, questions and additional reading materials and accounts for 4 units of CPD. One unit is the equivalent of one hour of learning. A certificate will be issued once you have completed all 4 units.
Course Sections
This course is made up of the following sections:
- Efficient Frontiers (video)
- Confidence Intervals (video)
- Measures of Financial Risk (quiz)
- Calculating VaR (video)
- Monte Carlo and Stress Testing (video)
- Calculating and Applying VaR (quiz)
- Non-symmetrical Distribution (video)
- Simulation Methodology (video)
- Volatility Models (video)
- Measuring and Monitoring Volatility (quiz)
- Additional reading materials
What You Will Learn
- Define Value at Risk (VaR) and expected shortfall as measures of financial risk
- Calculate VaR using parametric, historical simulation, and Monte Carlo approaches
- Explain the process of marking to market and how daily settlement affects risk exposure
- Describe methods for measuring and monitoring volatility, including EWMA and GARCH models
- Compare the strengths and limitations of VaR versus expected shortfall for tail risk measurement
- Apply backtesting techniques to evaluate the accuracy of a VaR model
Who This Course Is For
- Risk analysts and managers responsible for measuring and reporting market risk
- Finance professionals who need to understand VaR and volatility models in their day-to-day work
- Accountants or auditors reviewing the risk measurement frameworks of financial institutions
Prerequisites
- Familiarity with basic statistics, including mean, standard deviation, and probability distributions
- Understanding of how financial portfolios are constructed and valued
Frequently Asked Questions
Course Details
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