Alexandra-Ioana Vintilă – Bucharest University of Economic Studies, Doctoral School of Finance, 5-7 Mihail Moxa Street, 010961, Bucharest, Romania
Keywords:
Financial performance;
Corporate governance;
Non-financial companies;
Panel data;
Multiple regression
Abstract: The aim of the paper is to determine the factors which have a significant impact on the financial performance of US companies. Using a database consisting of the non-financial companies included in the S&P 500 Index, over the period 2004-2023, there are estimated multiple linear regression models with unbalanced panel data, incorporating fixed effects and random effects. The main results indicate that the global financial crisis led to a decline in the US companies’ performance, contrary to the Covid-19 pandemic crisis which conducted to an increase in the performance of the US companies. Moreover, the S&P 500 companies could achieve higher financial performance by increasing the number of members on the board, the percentage of women members on the board, and the company net debt, and lowering the level of company taxation.
8th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2024 – Conference Proceedings, Hybrid (Zayed University, Dubai, UAE), October 24, 2024
ITEMA Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
ITEMA conference partners: Faculty of Economics and Business, University of Maribor, Slovenia; Faculty of Organization and Informatics, University of Zagreb, Varaždin; Faculty of Geography, University of Belgrade, Serbia; Institute of Marketing, Poznan University of Economics and Business, Poland; Faculty of Agriculture, Banat’s University of Agricultural Sciences and Veterinary Medicine ”King Michael I of Romania”, Romania
ITEMA Conference 2024 Conference Proceedings: ISBN 978-86-80194-89-9, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.


