Analysing the dependence of a variable on other variables

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SUMMARY

This discussion focuses on analyzing the sensitivity of variable C in relation to variables d, g, and T using a DCF analysis for a one-year period. The user attempted sensitivity analysis in Excel but found it insufficient for a comprehensive understanding. They derived equations for C with respect to d, g, and T but struggled with interpretation. The conversation highlights the use of numerical analysis techniques, including Lagrange multipliers and the Simplex algorithm, for optimizing the relationship between these variables.

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musicgold
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Hi,

I am trying to analyze the sensitivity of a variable to three other variables. Please see the attached document explaining the relationship. The document shows how I reached to Eqn 1. It is nothing but a DCF analysis for a one-year period.

I wish to understand how the variables d, g, and T influence the variable C. I wish to know by how much C changes when d or g or T move increases or decreases by 10%.

I kind of did some sensitivity analysis in Excel by changing the values of d, g, and T, but I feel that I still don’t have the whole picturel.

In eqn 2, 3, and 4, I tried to find the derivatives of C wrt to d, g, and T, but they are more confusing than eqn 1. I am not able to interpret the equations.

Also I have the following questions.

Q1. Is this the right way of analyzing such a relationship?
Q2. Are there any other methods for doing this kind of analysis?

Thanks.
 

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Such investigations are one reason for an entire branch of mathematics: Numerical Analysis.
The simplest approach is to consider ##d\pm \varepsilon_1\, , \,g\pm \varepsilon_2\, , \,T\pm \varepsilon_3## and determine ##c## as a function of your variables and the ##\varepsilon_i##. Then you can minimize (maximize) the new function ##c(d,g,T,\varepsilon_1,\varepsilon_2,\varepsilon_3)## w.r.t. the ##\varepsilon_i## by known methods, e.g. using Lagrange multipliers, or if possible, a Simplex algorithm.
 

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