This course is designed to 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.
The course begins 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, the participants are guided 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.
Course Objectives
By the end of the course, participants will be able to:
- Identify relevant sources of information
- Navigate and use tools to find and obtain necessary data
- Apply a framework to identify what data is important, why, when, and how
- Articulate findings from the applied framework
Suggested Prerequisites: None
Program Level:Foundational
Advance Preparation: Working Knowledge of Excel
Computers and Financial Calculators: Computers
Recommended CPE Credits: 7