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The Role Of Managerial Ownership In The Relationship Of Debt Policy To Shareholder Value In Financial Companies In Indonesia Putri Regina Prayoga; Nikmah Nikmah
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 1 (2024): Januari
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i1.5149

Abstract

This study aims to determine the effect of debt policy on shareholder value with managerial ownership as a moderation variable. The research sample used financial companies listed on the Indonesia Stock Exchange during 2019-2022. The analysis method uses multiple regression tests and MRA (Moderator Regression Analysis) tests. The results of this study show that debt policy proxied by DAR has a positive effect on shareholder value, managerial ownership has a negative effect on shareholder value and managerial ownership is proven to moderate the relationship of debt policy to shareholder value. Debt policy proxied by DER has no effect on shareholder value, and managerial ownership also has no effect on debt policy.
Pengaruh Penggunaan Mobile Banking Bri Terhadap Continuance Intention Pada Generasi Z Antika Sari; Nikmah Nikmah
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 3 (2024): Journal of Economic, Bussines and Accounting (COSTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i3.8208

Abstract

Mobile banking is a bank payment transaction service that allows customers to carry out various transactions using smartphones. This research aims to examine the relationship between variables in predicting the intention to continue using BRI mobile banking in generation Z. The variables in this study are continuous intention, satisfaction, calculative commitment, affective commitment, trust, perceived service value, alternative quality, and anxiety. This research method uses quantitative methods, and data collection techniques in this research were carried out using questionnaires and purposive sampling design. The number of respondents was 198 respondents with generation Z research objects. Before the data was analyzed for hypothesis testing, the data was first tested for reliability and validity to ensure that the measures measured were good. Then, the data was analyzed for hypothesis testing using PLS structural equation modeling (SEM). The results of this analysis show that all hypotheses can be supported or are significant. This research also conveys limitations and suggestions for further research. Keywords: Intention To Continue Using, SEM, BRI Mobile Banking, Generation Z
Predicting Future Cash Flows Using Autoregressive Integrated Moving Average (ARIMA) Vika Fitranita; Rola Tri Rahayu; Eddy Suranta; Nikmah Nikmah; Halimatusyadiah Halimatusyadiah
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5450

Abstract

This study aims to provide empirical evidence of the ability of operating cash flows to predict future cash flows, ability of net income to predict future cash flows and proves that net income is better at predicting future cash flows compared to operating cash flows. This study was tested using autoregressive integrated moving average analysis. The samples used in this study are tourism, hotel, and restaurant companies listed on the Indonesian Stock Exchange in 2018-2022. The sample in this study was selected using purposive sampling method with a total sample of 418 observations. Before forecasting, the stationarity of the data is seen through ACF and PACF plots and unit root test. The results showed that the operating cash flow data did not meet the assumption of stationarity, so the first differencing process was carried out so that the data obtained was stationary so that the best operating cash flow model for predicting future cash flows was the ARIMA model (3,1,0) and for net income data, it had fulfilled the stationarity assumption, so it was not the differencing process is carried out so that the best model of net income is in forecasting ARIMA's future cash flows (3,0,0).