Financial Statement Analysis: Applications
Till now we learned about the various tools and financial reporting techniques an analyst can use for analysing financial reports of a business. In this reading, we will focus on how the analyst can apply these financial analysis tools and techniques to evaluate the past and future financial performance, assess credit risk, and screen potential equity investments.
This is a short reading and from the exam perspective, most of what you will see here has already been covered in the previous readings. You can consider this reading as a review of important concepts such as assessing credit quality, and analyst adjustments to financial statements in order to make them comparable with other companies’ reports.
Course Resources
Lessons
Data Science in Finance: 9-Book Bundle
Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.
What's Included:
- Getting Started with R
- R Programming for Data Science
- Data Visualization with R
- Financial Time Series Analysis with R
- Quantitative Trading Strategies with R
- Derivatives with R
- Credit Risk Modelling With R
- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
Get the Bundle for $29 (Regular $57)Free Guides - Getting Started with R and Python
Enter your name and email address below and we will email you the guides for R programming and Python.