Exploring the Geometric Mean of Grouped Data
Keywords:
business, economics, geometric mean, grouped data, unbiased estimate, stock market dataAbstract
We introduce a new method to estimate the geometric mean of grouped data by deriving an unbiased estimate based on uniformly distributed values within class intervals. In the current literature, traditional approaches often rely on class midpoints or geometric means of class endpoints, which may lead to biased results. Our proposed estimator is shown to perform more accurately, particularly when it is applied to financial data, such as the annual growth rates of the S&P 500 index. This study demonstrates the estimator’s effectiveness through both analytical derivation and empirical testing, offering a valuable tool for analysis.
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