This course will build upon the foundations explored in the introductory level quantitative methods class. Participants will examine multivariate techniques for numerical analysis in order to gain a greater understanding of how to analyze and review large amounts of data. This type of “big data” analysis is an increasingly important part of many areas of business including the financial industry. Understanding how correlations between variables interact and how complex linkages between multiple variables can impact asset values and financial reporting results, is an important facet in modern quantitative analysis roles.
Course Objectives
By the end of the course, the participants will be able to:
- Describe and calculate different types of correlations in data sets
- Explain the basics of multivariate data analysis and the tools that are needed to examine how a single variable like asset value can be impacted by multiple other factors simultaneously
- Explain how to use regression analysis tools like Ordinary Least Squares to deal with multivariate analysis issues
- Recognize the limitations on regression analysis and how to deal with those limitations through statistical solutions
- Calculate the impact on variables of interest like asset values or revenues when multiple other factors, like macroeconomic headwinds, impact those variables
Suggested Prerequisites:
- Foundational Quantitative Methods
Program Level:Intermediate –Advanced
Advance Preparation: Working Knowledge of Excel
Computers and Financial Calculators: Computers
Recommended CPE Credits: 7