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This program is designed to give the participants the necessary foundation in statistical theory needed to understand the practical problems that arise in financial data analysis. The course is designed to bring participants through the theory and into the practice of financial data analysis. Practical applications of these tools will be reviewed and discussed.
We begin with an Introduction to Statistical Tools, designed to provide participants with a solid foundation in traditional statistical methods necessary for any informed study of financial data. Working with actual financial data, we guide the participants through the basics of financial data modeling, analysis and risk assessment.
The second section addresses issues associated with Statistical Analysis and Financial Modeling and identifies risk metrics associated with financial data. Simple but realistic examples of financial modeling techniques will be used.
There will be a strong emphasis on hands-on analysis and group discussion.
Students will have access to Excel and a financial calculator.
Course Objectives
By the end of the course, participants will be able to:
- Identify hidden trends and biases in data
- Measure portfolio diversification risk reduction
- Interpret the impact of probability on financial outcomes
- Evaluate measures of financial performance
- Explain the relationship between return and risk
Suggested Prerequisites:
- Bond Math
Program Level: Foundational
Advance Preparation: Working Knowledge of Excel
Computers and Financial Calculators: Computers
Recommended CPE Credits: 7