FEREGO micro-economics

Analytic Research


Micro-economics example

Courtesy of FEREGO



 

Cfa2 -- powerful financial calculations on multi-dimensional sets.
 
 


Poweful micro-economics tool, simple language, milti-dimensional analysis.


 
 

What is Cfa2?

Cfa2 is an experimental research code that performs fancier kinds of micro-economics problems. In particular, it can vary parameters over multi-dimensions. Over such multi-dimensional sets, various kinds of analysis can be performed. Present worth, rate of return, sensitivity, and breakeven calculations can be performed over these multi-dimensional sets. This capability makes Cfa2 an extremely powerful financial analysis tool. These capabilities are accomplished without custom programming using a simple language. This simple language allows problems to be easily set up and then analyzed.

Its strength is not only that it can perform multi-dimensional studies, for this can be accomplished via custom programming. Its strength is that these kinds of problems can be analyzed using a simple descriptive language. Therefore such problems can be analyzed quickly, sometimes in a matter of only a few minutes.
 
 
 
 

Overview

He we give some examples of micro-economics calculations using Cfa2. We hope the results themselves are useful although we are illustrating the capabilities of Cfa2.

It is our wish to present an ongoing series of calculations and examples that are of general and practical interest to people.
 
 
 
 

Software

The software that produced these results is also very interesting and exhibits some very powerful capabilities in addition to using some modern and novel techniques in computer science. This software has been designed to provide a very flexible yet powerful analysis capability. The software that did the calculations here is called Cfa2. See our software for sale section for more information on the FEREGO software products for sale.

And we should note that this is a general piece of software, which is driven by a simple Basic-like language. In other words, problems such as this can be analyzed very simply, with only a few lines of description using the Cfa2 language. Custom programming, which is usually required for these kinds of studies, is not required. Considering that this calculation consists of a multi-dimensional breakeven calculation, this is a very sophisticated ability, which is performed and accomplished by the very simple language specification of Cfa2. Therein lies the great power of Cfa2.
 
 
 
 

Real estate home buying example

Here is an example calculation. This is similar to a spreadsheet "goal seek" type solution, except that instead of solving for a number that makes a result equal to another result (or zero) we solve for a surface or hyperface. This therefore is a more esoteric type of calculation. The dependency of a breakeven value on one or several parameters can thus be depicted.

We have developed analytic and numerical capabilities for analyzing such problems.

We caution not to misinterpret these results. This is only an example of some of our capabilities and we are not illustrating conclusions. The results usually depend on the specific numbers and assumptions in each particular case. We can provide data, graphics, and analysis to aid in decision making.
 
 

Example micro-economics calculation
by FEREGO using Cfa2


 

(The graphics are generated by a tool which can be purchased separately. Cfa2 does the numerical calculations.)

This plot shows the breakeven rate of return for a home as a function of the length of the mortgage and the mortgage interest rate. This breakeven is as an absolute investment (compared to nothing) and is to break even to be equal to a 5% investment, that is, to obtain a 5% rate of return on the total series of cash flows associated with the home. That is, stated yet differently again, the z-axis is what the home would have to appreciate to be equal to a 5% investment. Many reasonable assumptions are made for the home buying situation. Tax paid on the sale of the home after the "length of mortgage" period is considered in fact, and real estate selling fees are considered. Property taxes, though, are not considered.

It is a very interesting study to investigate how the numbers above are sensitive to the various parameters in the problem, such as how the results depend on the real estate selling fees, or how they depend on the tax bracket. We shall have some results on this in the future.

This is a very simple example we caution, and the results depend on the assumptions made. It is our opinion that these results would seem to show real estate and even home buying to be an attractive investment, and certainly in times of higher inflation.
 



 

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