Geometric mean application in finance ratio question

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SUMMARY

The discussion centers on the application of the geometric mean in calculating the time-weighted rate of return (TWRR) in finance. The TWRR is computed differently based on the time frame of returns: for daily returns within a year, the formula is rtw = (1+r1) x (1+r2) x ... x (1+rn), while for multi-year returns, it is rtw = [(1+r1) x (1+r2) x ... x (1+rn)](1/n) - 1. The geometric mean is utilized for returns spanning multiple years to accurately reflect the average annual return. This distinction is crucial for financial analysis and investment performance evaluation.

PREREQUISITES
  • Understanding of time-weighted rate of return (TWRR)
  • Familiarity with geometric mean calculations
  • Basic knowledge of financial metrics and performance evaluation
  • Proficiency in mathematical operations involving exponents and roots
NEXT STEPS
  • Research the implications of using geometric mean versus arithmetic mean in finance
  • Explore advanced financial metrics such as internal rate of return (IRR)
  • Learn about the impact of compounding on investment returns
  • Study the application of TWRR in portfolio management and performance reporting
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Finance professionals, investment analysts, and anyone involved in performance measurement and evaluation of investment portfolios will benefit from this discussion.

Vital
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Homework Statement


Hello.
There is a financial metric called time weighted rate of return, which is computed using the following formula:
1) if we compute daily returns, or other returns within a year:

r tw = (1+r1) x (1+r2) x...x (1+r nth year),
where r tw is the time weighted rate of return
rn are period returns; for example, if we compute daily returns, then there will be 365 (1+r) returns multiplied on each other

2) if we have returns for a few years, then the formula is

r tw = [(1+r1) x (1+r2) x...x (1+r nth year)] (1/n) - 1

Homework Equations


For example:
We are given quarterly rates of return, hence the time weighted rate of return will be computed in the following way:

(1+r1)(1+r2)(1+r3)(1+r4)−1=(1.20)(1.05)(1.12)(0.90)−1=0.27or27%

But if we have the same returns but they are not for each quarter within one year, but each return is a yearly return, hence we have returns for 4 years, then we use the geometric mean:[(1+r1)(1+r2)(1+r3)(1+r4)](1/n)−1=[(1.20)(1.05)(1.12)(0.90)]1/4−1=6.16%

The Attempt at a Solution


My question:
Please, help me to understand why if we compute returns within 1 year period we do not take the n-th root of the product, but when we compute the return for several years we do take the n-th root. What is the math behind it?

I will be grateful for your explanations.
Thank you!
 
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Vital said:
What is the math behind it
You determine the annual rate. So you multiply part-of-year rates until you have a full year, or you take the nth root to reduce n years to a single year.

You can extend taking powers to partial exponents, so that you can use one and the same formula to calculate back to one year (in case the rate is constant):
(1+r)1/n,​
for example: if n = 1/4 you get (1+r1/4)4 with r1/4 the rate per quarter
and if n = 4 you get (1+r4)1/4 with r4 the full rate over the four years
 
BvU said:
You determine the annual rate. So you multiply part-of-year rates until you have a full year, or you take the nth root to reduce n years to a single year.

You can extend taking powers to partial exponents, so that you can use one and the same formula to calculate back to one year (in case the rate is constant):
(1+r)1/n,​
for example: if n = 1/4 you get (1+r1/4)4 with r1/4 the rate per quarter
and if n = 4 you get (1+r4)1/4 with r4 the full rate over the four years
Thank you very much. It is clear now, and I am happy that now I understand how it works, though it seems that I should have understood that from the very beginning )))
 

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