This study aims to determine: (1) whether there is a difference between the Altman model, the Springate model, the Zmijewski model, and the Ohlson model in predicting financial distress. (2) the most accurate prediction model in predicting financial pain on a pharmaceutical company listed in IDX. The type of research is comparative descriptive. The sampling method used purposive sampling with 45 data from 9 pharmaceutical companies listed in IDX. Dependent and Independent variable is measured by ratio scale. Data analysis was performed by descriptive analysis, normality test, and paired sample t-test using SPSS program. Based on the result of these study indicate that : (1) There is a significant difference between the Altman model, the Springate model, the Zmijewski model, and Ohlson model in predicting financial distress, (2) The Altman model is the most accurate prediction model in predicting financial distress.
KEYWORDS: Altman, Springate, Zmijewski, Ohlson, Financial Distress
The purpose of this study is to analyze how much influence the board of commissioners, audit committee, institutional
ownership, company size and leverage on tax avoidance on food and beverage sector companies listed on the Indonesia Stock
Exchange. The factors tested in this study are tax avoidance as the dependent variable while the size of the board of
commissioners, audit committee, institutional ownership, firm size and leverage as independent variables.
The sample of this study consisted of 15 food and beverage sector companies listed on the Indonesia Stock Exchange
(IDX) and submitted financial statements consistently in the period 2012-2015. The data used in this study is secondary data
and the selection of samples using purposive sampling method. The analytical tool used is multiple regression analysis to
examine the effect of the size of the board of commissioners, audit committee, institutional ownership, company size and
leverage on tax avoidance.
KEYWORDS: Good Corporate Governance, Company Size, Leverage, Tax Avoidance.
Financial distress Are the stages of a company's financial condition decline. Companies that experience financial distress in the long term tend to go bankrupt. Many parties will be harmed if a company goes bankrupt; for this reason, a bankruptcy prediction model is needed that can provide early warning for the company. This research was conducted to determine whether there are differences in financial distress prediction analysis using the Altman model, and the Lippo Group's Zmijewski Model, and to find out the most accurate bankruptcy prediction models. The analytical method used in this study is Logit Regression. The test results conclude that there are differences in predicting financial difficulties based on the Altman model, the Zmijewski Model.
This study aims to examine the effect of Capital Structure and Good Corporate Governance on Financial Performance. This research's object is the food and beverages sub-sector manufacturing companies listed on the Indonesia Stock Exchange in 2014-2018. This research was conducted using a sample of 18 selected companies listed on the Indonesia Stock Exchange. Determination of the selection using a purposive sampling method with criteria determined by the researcher using a causal relationship design. Therefore, the data analysis used is statistical analysis in the form of multiple linear regression tests. This study indicates that Debt to Asset Ratio has a significant negative effect on Financial Performance; Independent Commissioners have a significant positive on Financial Performance. At the same time, the Board of Directors and managerial ownership does not affect Financial Performance.
KEYWORDS: Capital Structure, Good Corporate Governance, Financial Performance
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