Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)

The Use of Fundamental Analysis on Sustainable Energy’s Investment Decisions in Registered Mining Companies in the Sharia Stock Index

Authors
Wulan Dari1, 2, *
1Department of Accounting, Faculty of Economics, Universitas Widya Mataram, Mataram, Indonesia
2Ruprecht Karls University of Heidelberg, Heidelberg, Germany
*Corresponding author. Email: wulanalhudaa@gmail.com
Corresponding Author
Wulan Dari
Available Online 23 December 2023.
DOI
10.2991/978-94-6463-338-2_21How to use a DOI?
Keywords
fundamental analysis; manager decision; stakeholder theory; mining companies; Muslim investment decision; sharia stock
ABSTRACT

Investors are starting to pay attention to Islamic value issues to achieve sustainability in energy. Recently, not only financial, social, and environmental, but also sharia value information has emerged to convey investment information on organizations' responsibility for the business of energy sustainability in line with sharia values. Sharia Index was emerging in capital market of Muslim-majority countries, which has had a major impact on the Indonesian financial industry. Nevertheless, various studies are still limited to using the fundamental information for analyzing conventional stock by external stakeholders (investors). Studies need to consider the fundamental analysis of investment decisions in registered mining companies in the sharia stock to achieve sustainable business. A sustainable business also increases business investment and will help drive a sustainable energy transition. This study uses sharia stock, particularly for Muslim investment decisions, whether they should consider the fundamental analysis. This study explored the Indonesian Sharia Stock Index by watching stock rate actions. The information used in this study is secondary facts obtained from the legit internet site of the Indonesia stock alternate. It determines the effect of liquidity, solvency, and profitability on mining businesses' stock fees on the Indonesian Sharia Stock Index (ISSI). The population of this look would encompass mining organizations indexed on the Indonesian Sharia Stock Index (ISSI) for the 2018-2021 duration. The sampling technique might be purposive sampling, and the study would receive facts from 17 mining groups. The facts evaluation approach used in this research is descriptive statistics, classical assumption check, more than one linear regression evaluation and hypothesis test.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
23 December 2023
ISBN
10.2991/978-94-6463-338-2_21
ISSN
1951-6851
DOI
10.2991/978-94-6463-338-2_21How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Wulan Dari
PY  - 2023
DA  - 2023/12/23
TI  - The Use of Fundamental Analysis on Sustainable Energy’s Investment Decisions in Registered Mining Companies in the Sharia Stock Index
BT  - Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)
PB  - Atlantis Press
SP  - 136
EP  - 145
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-338-2_21
DO  - 10.2991/978-94-6463-338-2_21
ID  - Dari2023
ER  -