Course: Equity Analysis and Valuation
Learn the characteristics, analysis, and valuation of equity securities.
This course provides a thorough understanding of the equity markets and the analysis and valuation of equity securities.
The first three sections of the course focus on the market organization, market indices, and how efficient the stock markets are. The last three sections focus on the characteristics, analysis and valuation of equity securities.
The first section discusses how the equity markets are organized, the types of assets, various market participants and how equities are traded.
The second section focuses on market indices. It explains in detail about how indices are constructed, managed, calculated and used in the investment world.
The third section discusses the market efficiency, that is, how well the market prices of securities reflect the latest information. It discusses the different degrees of market efficiency and its impact on security analysis.
The fourth section provides an overview of equity securities and their various types and features.
The fifth section introduces us to the importance of industry and company analysis in equity valuation and explains how to conduct such analysis with a focus on competitive analysis.
The sixth section discusses the concepts and tools for equity valuation in detail.
If you have a monthly or yearly subscription for Finance Train, you will already have access to this course in your course bundle. If not, then you can purchase this course independently for a price of $19 or you can take our monthly subscription that gives you access to all our courses.
The Finance Train’s Financial Data Scientist program is designed to be a monthly subscription program where new courses are added every week to help you keep yourself up-to-date with the latest in financial data science. The courses focus on teaching programming languages such as R and Python. Along with this it also includes courses covering concepts in quantitative methods and various finance topics. All the tutorial examples, data sets used, and projects are focused on application of data science in the finance field.