Geometric mean return calculator - Verified using stat expert
Our Geometric Mean Return Calculator helps you to accurately determine the average rate of return of your investments over multiple periods. Enter your percentage values to get started.
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Understanding Geometric Mean Return
The geometric mean return is a measure of the central tendency of a set of values that are multiplicatively related. It is often used in finance to determine the average rate of return of investments over time. Unlike the arithmetic mean, which simply averages the returns, the geometric mean takes into account the compounding effect, providing a more accurate reflection of investment performance.
To calculate the geometric mean return, you take the product of all the returns (expressed as decimals), raise this product to the power of 1/n (where n is the number of returns), and then subtract 1. This formula effectively accounts for the volatility of returns and the impact of compounding.
For example, if you have investment returns of 10%, 20%, and -15%, the geometric mean return will be calculated as follows:
- Convert the percentages to decimals: 0.10, 0.20, -0.15
- Calculate the product of (1 + return) for each period: (1+0.10) * (1+0.20) * (1-0.15)
- Take the nth root of the product: \(\sqrt[3]{(1.10 * 1.20 * 0.85)}\)
- Subtract 1 from the result
- Convert back to percentage by multiplying by 100, if needed
Benefits of Using Geometric Mean Return Caluclator
Using the geometric mean return offers several advantages, particularly in financial analysis and investment performance evaluation:
- Accuracy: It provides a more accurate measure of an investment's average return, accounting for the effects of compounding.
- Volatility Adjustment: By considering the volatility of returns, it gives a better understanding of the investment's performance over time.
- Consistency: It offers a consistent method to compare different investment opportunities or performance periods.
- Risk Assessment: Helps in assessing the risk by showing how returns are distributed over time.