Pengaruh Operating Leverage, Financial Leverage, dan Combination Leverage Terhadap Earning Per Share Pada Perusahaan Jasa Sub Sektor Properti dan Real Estate Yang Terdaftar di Bursa Efek Indonesia

Muhammad Faturinaldi, E. Suryadi, Heni Safitri
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引用次数: 1

Abstract

The purpose of this study was to determine the effect of variable Operating Leverage, Financial Leverage and partial leverage on Earning Per Share. The data used in the study is secondary data, obtained from the IDX, namely the financial statements from 2014-2016. The population used in this study amounted to 48 service companies in the property and real estate sub-sectors that are still listed on the Indonesia Stock Exchange in the 2014-2016 period. The sample selection technique uses purposive sampling method and obtained 41 service companies in the property and real estate sub-sectors used as samples. The data analysis technique used is multiple linear regression analysis. Based on the results of data analysis, partially Operating Leverage had no effect on Earning Per Share, Financial Leverage did not affect Earning Per Share, and Combination Leverage did not affect Earning Per Share. Simultaneous test results show that the regression model can be used to predict Earning Per Share as evidenced by a significant value of F of 0.988. R-Square value of 0.001 shows that the ability of independent variables in explaining the variation of the dependent variable is 0.1% and the remaining 99.9% is explained by other variables outside the research model.
本研究的目的是确定可变经营杠杆、财务杠杆和部分杠杆对每股收益的影响。本研究使用的数据为二手数据,来自IDX,即2014-2016年的财务报表。本研究中使用的人口为2014-2016年期间仍在印度尼西亚证券交易所上市的48家房地产和房地产子行业的服务公司。样本选择技术采用有目的抽样方法,选取了41家物业和房地产细分行业的服务公司作为样本。使用的数据分析技术是多元线性回归分析。从数据分析结果来看,部分经营杠杆对每股收益没有影响,财务杠杆对每股收益没有影响,组合杠杆对每股收益没有影响。同时检验结果表明,回归模型可以用于预测每股收益,F值为0.988。r平方值为0.001表明自变量解释因变量变异的能力为0.1%,其余99.9%由研究模型之外的其他变量解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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