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Stata | Mata Code for Implied Cost of Equity Models

Estimation of implied cost of equity models requires solving for unknowns. Usually, the models have lengthy equations and unknowns that call for deep root functions.  There are five well-known models to find implied cost of equity. These models are listed below:

  1. Gebhardt et al. (2001),
  2. Claus and Thomas (2001),
  3. Ohlson and Juettner-Nauroth (2005),
  4. Easton (2004), and
  5. Gordon and Gordon (1997)

With the exception of Gordon and Gorden (1997) model, all other models require complex algebra to solve for the unknown i.e. the required rate of return. The good news is that we have developed an efficient and fast solution for all these models. We use the Mata capability of Stata Software to solve for the unknowns.

Furthermore, we also have developed Stata codes to find forecasted earnings using recently developed models such as Hou et al. (2012). Almost all implied cost of equity models use forecasted earnings. Therefore, the two set of codes compliment each other.

 

Accuracy of the codes

The ICC codes have a history of around 2 years and during this time period, these codes were purchased not only by students but also by faculty members. These codes have been tested extensively by various researchers. The good thing is that some of the models can be tested for accuracy using Excel Solver function. We also provide a dummy dataset that can be used to easily implement the codes and see the results, which can then be verified using any tool such Excel, calculators, or codes written in other software e.. SAS, R, MATLAB.

 

Pricing

The code is available for $100 per ICC model, plus a $50 for raw data processing (in case the data is not in Stata format and variables are not already constructed). The code to forecast earning using the Hou et al. (201) model is available for a fee of $75.

 

Payment Options


Gebhardt et al. (2001) or GLS Model
Easton (2004)
Claus and Thomas (2001)
Ohlson and Juettner-Nauroth (2005)
Gordon and Gordon (1997)

 
For further details, please contact us at:
  attaullah.shah@imsciences.edu.pk
  Stata.Professor@gmail.com

 

References 

 

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