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The Accuracy of the Altman, Ohlson, Springate and Zmejewski Models in Bankruptcy Predicting Trade Sector Companies in Indonesia Sri Elviani; Ramadona Simbolon; Zenni Riana; Farida Khairani; Sri Puspa Dewi; Fauzi Fauzi
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 3, No 1 (2020): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v3i1.777

Abstract

Bankruptcy prediction models continue to develop both in terms of forms, models, formulas, and analysis systems. Various bankruptcy prediction studies currently conducted aim to find the most appropriate and accurate bankruptcy prediction model to be used in predicting bankruptcy. This study aims to determine the most appropriate and accurate model in predicting the bankruptcy of 53 trade sector companies in Indonesia. The analysis technique used in this study is binary logistic regression. The results of this study prove that the most appropriate and accurate model in predicting bankruptcy of trade sector companies in Indonesia is the Springate model and the Altman model
Determinants of Fraud Pentagon Theory Perspective and Its Effects on Fraudulent Financial Statement in Mining Companies Which Is Listed In Indonesia Stock Exchange Heny Triastuti K; Sri Rahayu; Zenni Riana
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 3, No 3 (2020): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v3i3.1127

Abstract

This type of research is quantitative research. This study uses secondary data from financial statements and company annual reports published by the Indonesia Stock Exchange (IDX) during 2016-2018. The sampling technique uses a purposive sampling stage. Data analysis was performed using logistic regression analysis using SPSS version 22 software program which described the relationship between Financial Targets, External Pressure, Quality of External Auditors, Change in Auditors, Changes of Directors, and Frequent Number of CEO's Picture as an independent variable on the dependent variable, Fraudulent Financial Statement. The results of this study are Financial Target, External Pressure, Quality of External Auditor, Change in Auditor and The Board Directors has no effects on Fraudulent Financial Statement. The for Frequent Number of CEO’s Picture effect on Fraudulent Financial Statement.
The Determinants of Earnings Response Coefficients: Case Study from Chemical Industry in Indonesia Sri Elviani; Zenni Riana; Ramadona Simbolon; Sri Puspa Dewi
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.4089

Abstract

This study aims to analyze the factors that influence the earnings response coefficient. This study uses secondary data that applies a multiple linear regression model with a sample period 2015-2018 of the basic chemical industry companies listed on the Indonesia Stock Exchange. The test results indicate that capital structure effect negatively to earnings response coefficient and profitability affect positively to earnings response coefficient. While growth opportunity, company size, audit quality and systematic risk partially do not affect the earnings response coefficient. This study provides an insight that growth opportunity, capital structure, company size, profitability, audit quality, systematic risk can affect the earnings response coefficient. This research is expected to assist investors in conducting fundamental analysis in the valuation model to determine the market reaction to the earnings information of a company, so that investors can find out the size of the share price response to the company's earnings information. The limitation in this study is the amount of samples that only take data on basic chemical industry companies listed on the Indonesian stock exchange.