Risk
Simulation and Bootstrapping
Monte Carlo Simulation, Bootstrapping Methods, and Measuring Volatility
2 CPD credits on completion
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Certificate on completion
Downloadable resources
Self-paced learning
About This Course
Course Information
In this course, we learn about measuring returns, volatility, and correlation. The later part covers simulation, bootstrapping and other concepts.
Certificate on Completion
This course is made up of videos, questions and additional reading materials and accounts for 2 units of CPD . One unit is the equivalent of one hour of learning. A certificate will be issued once you have completed all 2 units.
Course Sections
This CPD course is made up of the following sections:
- Measuring Return, Volatility and Correlation (video + quiz)
- Simulation and Bootstrapping (video + quiz)
- Additional reading materials
What You Will Learn
- Explain how Monte Carlo simulation approximates expected values of random variables using numerical methods
- Distinguish between simulation and bootstrapping based on their data sources: assumed distributions versus observed data
- Describe pseudo-random number generators, seed values, and why reproducibility matters in simulation experiments
- Identify when simulation is most useful, particularly for complex multi-step models and nonlinear functions
- Apply the independent and identically distributed (IID) bootstrap method by drawing samples with replacement from observed data
- Explain how control variates can improve simulation accuracy without increasing the number of replications
Who This Course Is For
- Risk analysts and quantitative professionals who use simulation methods to model financial outcomes
- Finance professionals preparing for FRM exams who need to understand Monte Carlo and bootstrapping techniques
- Data analysts in financial services who work with statistical modelling and need to understand resampling methods
Prerequisites
- Basic understanding of probability distributions and random variables
- Familiarity with statistical concepts such as mean, variance, and standard deviation
Frequently Asked Questions
Course Details
CPD Credits2
CertificateYes
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