In statistics, the geometric mean is calculated by raising the product of series of numbers to the inverse of the total length of the series. The geometric mean is most useful when numbers in the series are not independent of each other or if numbers tend to make large fluctuations. Applications of the geometric mean are most common in business and finance, where it is commonly used when dealing with percentages to calculate growth rates and returns on portfolio of securities. It is also used in certain financial and stock market indexes, such as Financial Times' Value Line Geometric index.

### Growth Rates Example

The geometric mean is used in finance to calculate average growth rates and is referred to as the compounded annual growth rate. Consider a stock that grows by 10% in year one, declines by 20% in year two and then grows by 30% in year three. The geometric mean of the growth rate is calculated as ((1+0.1)*(1-0.2)*(1+0.3))^(1/3) - 1 = 0.046 or 4.6% annually.

### Portfolio Return Example

The geometric mean is commonly used to calculate the annual return on portfolio of securities. Consider a portfolio of stocks that goes up from \$100 to \$110 in year one, then declines to \$80 in year two and goes up to \$150 in year three. The return on portfolio is then calculated as (\$150/\$100)^(1/3) - 1 = 0.1447 or 14.47%.

### Stock Index

The geometric mean is also occasionally used in constructing stock indexes. Many of the Value Line indexes maintained by Financial Times use geometric average. In this type of index, all stocks have equal weights, regardless of their market capitalizations or prices. The index is calculated by taking the geometric average of the percentage change in prices of each stock.