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INFORMATION ASYMMETRY AND DIVIDEND POLICY IN THE CEMENT SUB-SECTOR MANUFACTURING COMPANY Devika Putrihadiningrum; Sumani
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i2.2399

Abstract

The purpose of this research is to analyze the effect of information asymmetry on dividend policy in manufacturing companies in the cement sub-sector. The research used is explanatory research,Proof of the hypothesis is done by testing the regression coefficients partially. The results in this study explain as follows: this study shows that asymmetric information proxied by earnings forecast error has no significant negative effect on dividend policy. The second hypothesis in this study shows that asymmetric information proxied by firm size has no significant positive effect on dividend policy. The third hypothesis in this study shows that asymmetric information proxied by growth opportunities has a significant positive effect on dividend policy. The fourth hypothesis in this study shows that asymmetric information which is proxied by earnings forecast error, firm size, growth opportunities have a significant effect on dividend policy. The magnitude of the influence of Asymmetric Information on dividend policy is 54.7%, of which another 45.3% is influenced by other asymmetric information proxies which are not discussed in this study.
Optimizing Portfolio Performance at PT. IAI Financial Devika Putrihadiningrum; Cynthia Eka Violita
GREENOMIKA Vol. 5 No. 2 (2023): GREENOMIKA
Publisher : Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/unu.gnk.2023.05.2.9

Abstract

The aim of the research carried out by the author is to analyze the composition of investment portfolios (asset allocation) that can provide the most optimal returns to provide high returns with certain risks. The approach used in this research is the case study method. The data analysis used is a descriptive method and a quantitative method, which is limited to the Pension Fund investment portfolio data at PT. IAI Financial for the 2019-2022 period. This research shows that the first proportion shows the average return generated is 12.5 with the same risk, namely 1.44. The second proportion uses the Markowitch approach. The average return generated is 5.20 with the same risk, namely 1.44. Based on the analysis of optimizing investment instruments at PT. IAI Financial above shows that the IAI Pension Fund investment results have not been able to provide optimal results, so the financial manager at PT. IAI Financial needs to look for new investment alternatives with proportions that can increase risk and return.