Common Pitfalls in Capital Budgeting

Company managers commonly make errors when evaluating capital projects.  Some of these errors include:

  • The failure to account for economic reactions.  If a company introduces a highly profitable product to the market, then competitors will enter the market and future profitability will deteriorate.
  • Standard approaches for different capital projects.  A company may use a common model to analyze all of its capital projects despite differences across all the capital projects that it considers.
  • Focusing on accounting results.  A company’s management may be incentivized to initiate projects that show positive short term accounting results at the expense of long term projects with high net present values.
  • Utilizing IRR over NPV.  IRR may not lead to optimal decision making when evaluating mutually exclusive projects.  NPV is considered the superior approach.
  • Pet projects.  Influential company managers may initiate projects which advance their own interests but do not create company value (or even destroy it).
  • Cash flow errors.  Many estimates and assumptions go into forecasting cash flows and these are subject to error.
  • Inappropriate discount rate.  A company might use too low of a discount rate for a high risk project and overstate the project’s NPV.
  • Misunderstanding sunk costs and opportunity costs.  A company may incorrectly include sunk costs into its capital budgeting analysis, but exclude opportunity costs.
Finance Train Premium
Accelerate your finance career with cutting-edge data skills.
Join Finance Train Premium for unlimited access to a growing library of ebooks, projects and code examples covering financial modeling, data analysis, data science, machine learning, algorithmic trading strategies, and more applied to real-world finance scenarios.
I WANT TO JOIN
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.

Saylient AI Logo

Accelerate your finance career with cutting-edge data skills.

Join Finance Train Premium for unlimited access to a growing library of ebooks, projects and code examples covering financial modeling, data analysis, data science, machine learning, algorithmic trading strategies, and more applied to real-world finance scenarios.