Exploring the Geometric Mean of Grouped Data

Authors

  • Xiuqing Ji Christopher Newport University
  • John Simon Governors State University

Keywords:

business, economics, geometric mean, grouped data, unbiased estimate, stock market data

Abstract

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.

References

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Published

2025-05-16

How to Cite

Ji, X., & Simon, J. (2025). Exploring the Geometric Mean of Grouped Data. Journal of Applied Business and Economics, 27(3). Retrieved from https://articlearchives.co/index.php/JABE/article/view/7329

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Section

Articles