Financial Uncertainty in Earnings Per Share and Stock Prices: A Monte Carlo Simulation Study of US Business Services Multinationals

Authors

  • Suranjana Chatterjee Institute for American Universities. c/Ausias Marc 27. Barcelona Spain

DOI:

https://doi.org/10.53469/jgebf.2025.07(10).06

Keywords:

Monte-Carlo Simulation, Financial Analysis, Global US Industry Analysis, Profitability Analysis, Multinational Corporations

Abstract

This study examines the financial uncertainties in EPS income and share price predictions for 30 U.S. multinational corporations and MNCs in the Business Services Global Industry. Using Monte Carlo simulation with 20,000 iterations and a 99% confidence level, the results suggest that market consensus on EPS and share prices may be overly optimistic. The findings highlight the potential discrepancies between predicted revenue and actual market conditions, emphasizing the need for cautious forecasting in future financial analyses.

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Published

2025-10-30

How to Cite

Chatterjee, S. (2025). Financial Uncertainty in Earnings Per Share and Stock Prices: A Monte Carlo Simulation Study of US Business Services Multinationals. Journal of Global Economy, Business and Finance, 7(10), 27–32. https://doi.org/10.53469/jgebf.2025.07(10).06

Issue

Vol. 7 No. 10 (2025)

Section

Articles

License

Copyright (c) 2025 Suranjana Chatterjee

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.


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