Article Sidebar

Download
pdf
Statistic
Read Counter : 88 Download : 83

Downloads

Download data is not yet available.

Main Article Content

Abstract

The purpose of this study was to determine any abnormal returns before and after the development of artificial intelligence which was listed on the Indonesian Stock Exchange. This research uses an event study which studies market reactions to an event. Event studies are used to test the information content of an announcement. The population used in this research is banking companies listed on the Indonesia Stock Exchange for the period 5 days before and 5 days after 2021-2024. The data used in this research is secondary data and sample selection used purposive sampling. There were 32 companies as samples with a total of 105 initial data. The analytical method used to test the hypothesis in this research uses the paired sample t-test. The results of this research show that artificial intelligence has a significant effect on abnormal returns.

Article Details

References

  1. Anggraeni, A. P. (2023). Strategi Pengambilan Keputusan Keuangan Berkelanjutan Dengan Artificial Intelligence For Financial Advisor ( AIFA ) B Politeknik A Politeknik Financial Sustainable Decision Making Strategy With Artificial Intelligence For Financial Advisor ( AIFA ). July 2022, 156–162.
  2. Angreani, Chintasi, Nur Afifah, B. (2024). December 2023, Revised: 4. 8, 31–46.
  3. Ayunda, R. (2021). Perlindungan Data Nasabah Terkait Pemanfaatan Artificial Intelligence Dalam Aktifitas Perbankan Di Indonesia. Jurnal Komunikasi Hukum, 7(2), 663–677.
  4. Fajriah, Y., Jumady, E., & Alam, S. (2021). Abnormal Returns Before And After The January Effect. Atestasi : Jurnal Ilmiah Akuntansi, 4(1), 45–52. Https://Doi.Org/10.57178/Atestasi.V4i1.162
  5. Fama, E.F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383-417.
  6. Ghozali, I. (2016). Aplikasi Analisis Multivariate Dengan Program Ibm Spss 23. Semarang: Universitas Diponegoro, 13(2), 149. Https://Doi.Org/10.14710/Jsmo.V13i2.13406
  7. Goh, T. S. (2023). Monograf : Financial Distress. In Indomedia Pustaka. Https://Admin.Methodist.Ac.Id/Cdn/File/Thomastambahan/Monograf Financial Distress (1).Pdf
  8. Hanafi, M., Rio, M., Pratama, A., & Sidik, R. (2023). Pengaruh Artificial Intelligence : Analisis Terhadap Keuangan , Loyalitas Pelanggan , Pengalaman Konsumen , Dan. Jurnal Riset Informatika Dan Inovasi, 01(01), 4.
  9. Hanif, A. (2020). Pengujian Abnormal Return Sebelum Dan Sesudah Pidato Kemenangan Joe Biden Sebagai Presiden Amerika Terhadap Ihsg. Financial: Jurnal Akuntansi, 6(2), 203–212. Https://Doi.Org/10.37403/Financial.V6i2.181
  10. Hasdiana, U. (2018). Investasi Saham. Analytical Biochemistry, 11(1), 1–5. Http://Link.Springer.Com/10.1007/978-3-319-59379-1%0Ahttp://Dx.Doi.Org/10.1016/B978-0-12-420070-8.00002-7%0Ahttp://Dx.Doi.Org/10.1016/J.Ab.2015.03.024%0Ahttps://Doi.Org/10.1080/07352689.2018.1441103%0Ahttp://Www.Chile.Bmw-Motorrad.Cl/Sync/Showroom/Lam/Es/
  11. Hidayat, M., Defitri, S. Y., & Hilman, H. (2024). Dampak Kecerdasan Buatan ( Artificial Intelligence ) Terhadap Manajemen Keuangan. 1(1), 123–129.
  12. Jaya, H., Sabran, D., Pd, M., Ma, M., Djawad, Y. A., Sc, M., Ilham, A., Ahmar, A. S., Si, S., & Sc, M. (2018). Kecerdasan Buatan. In Journal Of Chemical Information And Modeling (Vol. 53, Issue 9).
  13. Khanna, D. P. (2021). Evaluating The Impact Of Artificial Intelligence On Investment Decision: Making In Finance. International Journal Of Research In Finance And Management, 4(1), 78–84. Https://Doi.Org/10.33545/26175754.2021.V4.I1a.248
  14. Korenko, G., & Li, J. (2020). Artificial intelligence and stock returns: Evidence from model changes. Journal of Financial Markets, 18(4), 34-56.
  15. Mikalef, P., & Gupta, M. (2021). Artificial Intelligence Capability: Conceptualization, Measurement Calibration, And Empirical Study On Its Impact On Organizational Creativity And Firm Performance. Information And Management, 58(3), 103434. Https://Doi.Org/10.1016/J.Im.2021.103434
  16. Nesakumar, D., & Ratnavarshaa, P. (2021). Turkish Online Journal Of Qualitative Inquiry (TOJQI) Volume 12, Issue 7. 12(7), 13440–13446.
  17. Norrahman, R. A. (2023). The Effect Of Using Artificial Intelligence On Customer Trust On Sharia Bank Services In Indonesia. İslamic Economics Review Journal, 02(02), 56–65.
  18. Nurdiani, T. W., Anas, M., Afrizal, A., & Sulistiana, I. (2023). The Impact Of Data Volume And Analytical Complexity In Big Data Technology On Financial Performance Prediction In Financial Companies In Indonesia. The ES Accounting And Finance, 2(01), 64–76. Https://Doi.Org/10.58812/Esaf.V2i01.155
  19. OJK. (2020). Indonesian Banking Development Roadmap 2020-2025. Financial Services Authority, 144. Https://Www.Ojk.Go.Id/Id/Berita-Dan-Kegiatan/Info-Terkini/Documents/Pages/-Roadmap-Pengembangan-Perbankan-Indonesia-2020---2025/Buku - Roadmap Pengembangan Perbankan Indonesia 2020 - 2025 Long Version.Pdf
  20. Paningrum, S. E. D. (2022). Buku Referensi Investasi Pasar Modal.
  21. Rahim, F., Candra, R., & Wahyuni, E. (2022). Capital Market Reaction Before And After The Announcement Of Covid-19 In Indonesia Reaksi Pasar Modal Sebelum Dan Setelah Pengumuman Covid-19 Di Indonesia. Management Studies And Entrepreneurship Journal, 3(1), 127–133. Http://Journal.Yrpipku.Com/Index.Php/Msej
  22. Suganda, T. R. (2018). Event Study : “Teori Dan Pembahasan Reaksi Pasar Modal Indonesia.” In Angewandte Chemie International Edition, 6(11), 951–952.
  23. Susianti, N., & Rahmawati, N. (2020). J . E . D | 38. 2(2), 38–46.
  24. Tang, Y. (2021). Corporate Finance Management In The Age Of ARTIFICIAL Intelligence. International Journal Of Frontiers In Sociology, 3(12), 141–146. Https://Doi.Org/10.25236/Ijfs.2021.031218
  25. Wang, J. (2018). Artificial intelligence in financial markets: Cutting edge applications for risk management, portfolio optimization and economics. Palgrave Macmillan.
  26. Wisesa, A. R. (2023). Inovasi Artificial Intelligence Sebagai Financial Advisor Kementerian Keuangan Adithya Raidipa Wisesa Abstrak Innovation Artificial Intelligence Of Financial Advisor. Swatantra, XX(1), 01–08.