The impact of big data on financial decision-making in multinational companies: An econometric analysis

Authors

    Milad Razavi Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
    Farhad Naseri-Zadeh * Department of IT, Sharif University of Technology, Tehran, Iran farhad.naseri.z@outlook.com

Keywords:

Big data, financial decision-making, multinational corporations, econometric analysis, machine learning

Abstract

Big data plays a crucial role in the financial decision-making of multinational corporations (MNCs). This study aims to analyze the impact of big data utilization on improving financial decision-making in MNCs. Financial and operational data from 50 multinational firms between 2015 and 2024 were collected and analyzed using dynamic panel regression models and time series analysis. Market volatility indices, return on investment, and financial efficiency were considered dependent variables. The findings suggest that big data enhances financial forecasting accuracy, improves resource allocation, and reduces macroeconomic decision-making risks. The role of AI-driven analytics in interpreting big data and optimizing financial processes was also evident. This study provides strategic recommendations for financial managers on maximizing big data’s potential.

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Published

2024-12-31

Submitted

2024-11-05

Revised

2024-11-15

Accepted

2024-11-28

How to Cite

Razavi, M., & Naseri-Zadeh, F. (2024). The impact of big data on financial decision-making in multinational companies: An econometric analysis. Accounting, Finance and Computational Intelligence, 2(4). https://jafci.com/index.php/jafci/article/view/35

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