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Optimizing Financial Data Analysis: A Comparative Study of Preprocessing Techniques for Regression Modeling of Apple Inc.’S Net Income and Stock Prices Cover

Optimizing Financial Data Analysis: A Comparative Study of Preprocessing Techniques for Regression Modeling of Apple Inc.’S Net Income and Stock Prices

Studia Universitatis „Vasile Goldis” Arad – Economics Series
Volume 35 (2025): Issue 1 (March 2025)
By:  and    
Open Access
|Jan 2025
Authors

Authors

Kevin Ungar

kevin.ungar@ulbsibiu.ro

Lucian Blaga University of Sibiu, Faculty of Economic Sciences, Sibiu, Romania

Camelia Oprean-Stan

camelia.oprean@ulbsibiu.ro

Lucian Blaga University of Sibiu, Faculty of Economic Sciences, Sibiu, Romania
DOI: https://doi.org/10.2478/sues-2025-0004 | Journal eISSN: 2285-3065 | Journal ISSN: 1584-2339
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Language: English
Page range: 49 - 82
Submitted on: Jul 1, 2024
Accepted on: Oct 1, 2024
Published on: Jan 2, 2025
Published by: Vasile Goldis Western University of Arad
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
linear regression analysis,
polynomial regression,
stock prices,
financial data processing,
Python programming
Related subjects:
Business and economics,
Political economics,
Economic policy,
Business management,
Financial reporting, group accounting, accounting and balancing,
Marketing, sales, customer relations,
Industries,
Banks, financial service provider, insurers

© 2025 Kevin Ungar, Camelia Oprean-Stan, published by Vasile Goldis Western University of Arad
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 35 (2025): Issue 1 (March 2025)
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