- Determining the Value of a Stock
- Types of Equity Valuation Models
- Equity Valuation - Dividend Discount Model
- Equity Valuation - Free Cash Flow Model (FCFE)
- Valuation of Preferred Stocks
- Gordon (Constant) Growth Dividend Discount Model
- Calculating Stock Value Using Dividend (Gordon) Growth Model in Excel
- Dividend Growth Model: How inputs Impact Stock Value?
- Calculate Stock Price at a Future Date using Dividend Growth Model
- How to Estimate Dividend Growth Rate?
- Multi-stage Dividend Discount Models
- How Do Analysts Select an Equity Valuation Model?
- Stock Valuation Using Price Multiples
- Support for P/E Ratio of a Company
- Enterprise Value Multiples in Equity Valuation
- Asset-based Valuation Models

# Asset-based Valuation Models

Asset-based models determine the fair value of a stock by calculating the market value of the firm's assets and subtracting the market value of its liabilities and preferred stock.

**Equity Value = Market Value of Assets -- Market Value of Liabilities**

Since the firm's assets and liabilities will be at book value, the analysts will adjust these values to their fair value or market value.

The adjust the book value of assets for market values, the firms will use the depreciated values, adjust these values for inflation or estimate the replacement of the assets.

Since a firm will have many intangible or off-balance sheet assets, it is quite difficult to apply the asset-based valuation models. Generally analysts will use another valuation model such as discounted cash flow model in conjunction with the asset-based valuation model. These models are useful for firms having mostly tangible assets or assets for which market value can be easily determined. These models are commonly used to value private firms.

#### Related Downloads

#### Related Quizzes

## 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 $39 (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.