Supriyanto
@unila.ac.id
Department of Business Administration, Faculty of Social and Political Science, University of Lampung Indomesia
University Of Lampung
@unila.ac.id
Department of Business Administration, Faculty of Social and Political Science, University of Lampung Indomesia
University Of Lampung
Crude oil price (COP) data are time-series data that are assessed as having both volatility and heteroscedasticity variance. One of the best models that can be applied to address the heteroscedasticity problem is GARCH (generalized autoregressive conditional heteroscedasticity) model. The purpose of this study is to construct the best-fitted model to forecast daily COP as well as to discuss the prepared recommendation for reducing the impact of daily COP movement. Daily COP data are observed for the last decade, i.e., from 2009 to 2018. The finding with the error of less than 0.0001 is AR (1) – GARCH (1,1). The implementation of the model is applicable for both predicting the next 90 days for the COP and its anticipated impact in the future. Because of the increasing prediction, it is recommended that policymakers convert energy use to renewable energy to reduce the cost of oil use.
This study aims to analyze company characteristics as a determinant of conventional and Islamic bank earnings management in several ASEAN countries (Association of South East Asian Nations). The Multiple Discriminant Analysis was applied to determine the differences between Islamic and Conventional Banks. This test was conducted based on Capital Adequacy Ratio, Income Before Tax and Interest, Non-Performaning and Changing Loans, and Company's Size in the banks of Indonesia, Malaysia, and Brunei Darussalam from 2014-2018. The data obtained from 200 banking entities were analyzed discriminatively. The results showed that there were simultaneous differences between Capital Adequacy Ratio, Earnings Before Tax, Loan Loss Provision, Non-Performing and Changing Loans, and Company's Size as determinants of earnings management between Islamic and conventional banks. Also, it was found that Company's Size was the dominant variable determining the management differences. Based on Discriminant Analysis, there were significant differences in the determinants of conventional and Islamic earnings management. The Changing Loan variable showed the highest contribution in determining earnings management in Islamic banks. Overall, this study found that conventional banks dominated Islamic system in practicing earnings management.
This study aims to determine the significant differences in the fair value, equilibrium price, and volatility of LQ45 stock returns before and after the first COVID-19 event. We applied the Multiple Discriminant Analysis test by taking data 75 days before and after the national announcement of the first COVID-19 event for the period 2019-2020. The results showed the significance value of the fair value and the balance price of 0.129> 0.05 and 0.814> 0.05 decreased compared to before the COVID-19 incident. Meanwhile, the value of the volatility of stock returns was 0.047 <0.05. after the announcement shows the value has increased.
Scopus Publications
