Valuation Lecture 13: DFC Valuation Tests

This video is a part of online course on Valuation by Professor Aswath Damodaran of NYU. This lecture discusses:

  • A corporate governance discount
  • The R&D effect
  • The distress factor
  • Lesson: Increasing growth is not always a value creating option
  • Lesson: Financial leverage is a double-edged sword
  • Dealing with decline and distress
  • Adjusting the value of LVS for distress
  • Lesson: Truncation risk can come in many ways
  • Valuing financial service companies
  • Valuing cyclical and commodity companies

The class is currently being taught by Prof. Aswath Damodaran at the NYU’s Stern Business School.

Data Science in Finance: 9-Book Bundle

Data Science in Finance 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)
JOIN 30,000 DATA PROFESSIONALS

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.

Data Science in Finance: 9-Book Bundle

Data Science in Finance 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 comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.