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Market Reaction Analysis of Annual Report Award Announcement: An Event Study Using Abnormal Return, Trading Volume Activity, and Stock Price Fitri Astuti; Anggi Setya Prayoga
EkBis: Jurnal Ekonomi dan Bisnis Vol 4, No 1 (2020): EkBis: Jurnal Ekonomi dan Bisnis
Publisher : Fakultas Ekonomi dan Bisnis Islam, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/EkBis.2020.4.1.1186

Abstract

This study intends to examine the differences in market reaction around the announcement of the Annual Report Award which is not only measured by abnormal return but is also measured using trading volume activity and stock prices. The data used are quantitative data in the form of a list of companies that received the Annual Report Award for the 2015-2018 period, the daily closing price of the ARA-winning company in the event window, the composite stock price index, the number of shares traded, and the number of shares outstanding. The event window is selected for 11 days because the long window period will blend with the effects of other events or confounding effects. The results of the study concluded that the market reacted around the announcement of the Annual Report Award for the 2015-2018 period measured using abnormal returns, trading volume activity, and stock prices. There is no difference in abnormal returns before and after the announcement of the 2013-2016 Annual Report Award period. Instead there are differences in trading volume activity and stock prices before and after the announcement of the Annual Report Award for the 2015-2018 period.
Effect of Investment Decisions, Funding Decisions and Dividend Policies on Company Value in The Jakarta Islamic Index Mesis Rawati; Iiz Izmuddin; Anggi Setya Prayoga; Loso Judijanto; Al-Amin; Hadi Subeno
Proceeding of The International Conference on Business and Economics Vol. 2 No. 1 (2024): Proceeding of The International Conference on Business and Economics
Publisher : Universitas 17 Agustus 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/icbeuntagsmg.v2i1.1591

Abstract

This research aims to test whether investment decisions, funding decisions and dividend policy influence company value. The data used in the research is secondary data. The population of this research is companies registered in the Jakarta Islamic Index (JII) 70 for 2018-2021. Determining the sample in the research used the porpusive sampling method with special criteria to obtain 68 data. The results of this research prove that the influence of investment decisions on company value is 0.256 > 0.05 and the calculated t value is 1.147 < 1.99714. There is no influence of investment decisions on value. Company. The influence of funding decisions on company value is 0.000 < 0.05 and t count is 6.384 > 1.99714. There is a significant influence of funding decisions on company value. The influence of dividend policy on company value is 0.116 > 0.05 and the calculated t is 1.595 < 1.99714 so it can be concluded that there is no influence of dividend policy on company value.
ECONOMIC OPTIMIZATION IN THE AGE OF ARTIFICIAL INTELLIGENCE: OPPORTUNITIES AND CHALLENGES Loso Judijanto; Melyana R Pugu; Anggi Setya Prayoga; Mohd Syahrin
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 6 (2024): June
Publisher : Adisam Publisher

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Abstract

The era of artificial intelligence (AI) arrived with promises of major transformation in various economic sectors. With its ability to automate routine tasks, improve decision-making, and enhance product and service innovation, AI has the potential to significantly improve operational efficiency and drive economic growth. The research methods carried out on this study are literature by searching for references that match the context of the research. Research shows that the use of AI in economic terms increases productivity, facilitates innovation, and adapts the labour market to the digital age, while the challenges of AI integration relate to privacy and data security, labour market disruptions, and ethical issues related to machine decision-making. Therefore, despite the significant challenges, with a wise and proactive approach, the transition to the era of artificial intelligence can be a major driver of economic optimization and social progress.