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Journal : Jurnal Ekonomi

The Influence of Return on Asset, Firm Size, and Earnings Per Share on Underpricing With Debt to Equity Ratio as a Moderating Variable in Companies That Conduct an IPO on the Indonesian Stock Exchange Mandayani, Marsela Siti; Yulianti, Eka
Jurnal Ekonomi Vol. 13 No. 01 (2024): Jurnal Ekonomi, Edition January - March 2024
Publisher : SEAN Institute

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Abstract

The purpose of this research is to determine the effect of financial information on underpricing in companies conducting Initial Public Offerings. The variables used in this research include Return on Assets (ROA), Firm Size (FS), Earning Per Share (EPS), and Debt to Equity Ratio (DER). The population studied involved companies that conducted an IPO and were listed on the Indonesian Stock Exchange in 2018-2022. Sampling was carried out using a purposive sampling method, with a total of 195 companies as samples. Data analysis was carried out through the MRA test using Eviews 10 software. The research results showed that Return On Assets and Firm Size had a negative effect on Underpricing. Meanwhile, Earning Per Share has no effect on Underpricing. Apart from that, the Debt To Equity Ratio can moderate the influence of Return On Assets and Earning Per Share on Underpricing, but cannot moderate the influence of Firm Size on Underpricing. Simultaneous test results show that the variables Return On Assets, Firm Size, and Earning Per Share simultaneously influence Underpricing.
Accuracy Analysis of the Financial Distress Prediction Model Using Altman Z-Score, Springate, Zmijewski And Grover in the Oil, Gas and Geothermal Mining Subsectors Listed on the Indonesian Stock Exchange (BEI) Nurfadillah, Putri Sypa; Yulianti, Eka
Jurnal Ekonomi Vol. 13 No. 01 (2024): Jurnal Ekonomi, Edition January - March 2024
Publisher : SEAN Institute

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Abstract

This study is to ascertain the accuracy of the financial distress prediction model in oil, gas, along with geothermal mining subsector firms for the 2018–2022 period by applying the Altman Z–Score, Springate, Zmijewski, also Grover models. The research methodology employed in this study is descriptive quantitative, utilizing secondary data taken from the financial accounts of the organization. Using a purposive sample approach, the study's sample consisted of 10 firms, whereas the population consisted of 16 companies. The analysis technique utilized is the degree of accuracy as well as type of error using Microsoft Excel 2019 software. The outcomes of this study show that the Grover model has the highest accuracy percentage of 76%, preceding the Altman Z-Score model 24%, Springate 22% as well as Zmijewski 60%.