Ida Bagus Dharmadiaksa
Fakultas Ekonomi Dan Bisnis Universitas Udayana, Bali, Indonesia

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EARNINGS RESPONSE COEFFICIENT: ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHINYA Suardana, Ketut Alit; Dharmadiaksa, Ida Bagus
Jurnal Riset Akuntansi (JUARA) Vol 8 No 2 (2018): Jurnal Riset Akuntansi (JUARA)
Publisher : Program Studi Akuntansi Fakultas Ekonomi Universitas Mahasaraswati Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (135.181 KB)

Abstract

This study aims to analyze the effect of systematic risk, growth opportunities, leverage and firm size on earnings quality as measured by ERC. The population in this research is all manufacturing companies listed in BEI period 2011-2015. The type of data used is quantitative data and sourced from secondary data. The method of determining the sample using non-probability sampling method. Sample selection by purposive sampling technique. Data analysis technique used is multiple linear regression analysis. Based on the analysis, this study proves that systematic risk negatively affect on ERC, growth opportunities have positive effect on ERC, leverage have negative effect on ERC, and firm size has no effect on ERC.
EARNINGS RESPONSE COEFFICIENT: ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHINYA Ketut Alit Suardana; Ida Bagus Dharmadiaksa
Juara: Jurnal Riset Akuntansi Vol. 8 No. 2 (2018): Jurnal Riset Akuntansi (JUARA)
Publisher : Program Studi Akuntansi Fakultas Ekonomi dan Bisnis Universitas Mahasaraswati Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36733/juara.v8i2.103

Abstract

This study aims to analyze the effect of systematic risk, growth opportunities, leverage and firm size on earnings quality as measured by ERC. The population in this research is all manufacturing companies listed in BEI period 2011-2015. The type of data used is quantitative data and sourced from secondary data. The method of determining the sample using non-probability sampling method. Sample selection by purposive sampling technique. Data analysis technique used is multiple linear regression analysis. Based on the analysis, this study proves that systematic risk negatively affect on ERC, growth opportunities have positive effect on ERC, leverage have negative effect on ERC, and firm size has no effect on ERC.