scholarly journals Financial Distress Pada Perusahaan Yang Terdaftar Di Bursa Efek Indonesia

2021 ◽  
Vol 2 (2) ◽  
pp. 237-246
Author(s):  
Martinus Robert Hutauruk ◽  
Mansyur Mansyur ◽  
Muhammad Rinaldi ◽  
Yisar Renza Situru
Keyword(s):  
Financial Distress ◽  
Financial Analysis ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
Stock Index ◽  
Risk Level ◽  
Food And Beverage ◽  
Community Information ◽  
High Level ◽  
Prediction Approach

Companies engaged in the food and beverage business have a very high chance of success in running their business, given the increasingly high level of food and beverage consumption for the community. Information based on financial ratios needs to be improved in other forms of financial analysis to ascertain the future risk level. The purpose of this study is to analyze financial distress for food and beverage sub-sector companies listed on conventional stocks and Islamic stocks on the Indonesia Stock Exchange in the period 2015-2020. Financial distress analysis uses the Altman Z-Score bankruptcy prediction approach. The results of the study indicate that companies that experience accounting losses do not necessarily experience financial distress. Companies whose shares are listed on the Sharia stock index tend to experience healthier financial conditions and do not experience financial distress. Sharia shares of food and beverage sub-sector companies on the Indonesia Stock Exchange have good resistance to financial distress. This is supported by the high and stable value of Inti Agri Resources' shares compared to the shares of other companies.

scholarly journals Financial Distress, Company Size, and Ownership to Tax Avoidance in the Listed Indonesia Stock Exchange Companies

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Purnamawati P
Keyword(s):  
Financial Distress ◽  
Manufacturing Industry ◽  
Stock Exchange ◽  
Tax Avoidance ◽  
Corporate Ownership ◽  
Financial Condition ◽  
Food And Beverage ◽  
Business Size ◽  
Tax Payments ◽  
The Right

This paper assesses the effect of financial distress, business size, and institutional ownership affect tax avoidances in the Food and Beverage Sub-Sector Manufacturing Industry Registered at Listed Indonesia Stock Exchange Companies, IDX in 2016-2020. With a quantitative analysis approach, this study finds that the financial distress affects tax avoidance due to the decline in financial condition as experienced by the company. The right of large companies has a tendency to maintain its image to the public so that they will try to comply with the terms of tax payments. Meanwhile, corporate ownership has no influence on tax avoidance due to pressure on owners to implement aggressive tax policies in order to increase profits.

scholarly journals Interdependence and Risk Comparison of Slovak, Hungarian and Polish Stock Markets: Policy and Managerial Implications

2019 ◽  
Vol 69 (2) ◽  
pp. 273-287 ◽  
Author(s):  
Florin Aliu ◽  
Besnik Krasniqi ◽  
Adriana Knapkova ◽  
Fisnik Aliu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Markets ◽  
Stock Exchange ◽  
Weighted Average ◽  
Stock Index ◽  
Risk Level ◽  
Average Return ◽  
Monetary System ◽  
Managerial Implications

Risk captured through the volatility of stock markets stands as the essential concern for financial investors. The financial crisis of 2008 demonstrated that stock markets are highly integrated. Slovakia, Hungary and Poland went through identical centralist economic arrangement, but nowadays operate under diverse stock markets, monetary system and tax structure. The study aims to measure the risk level of the Slovak Stock Market (SAX index), Budapest Stock Exchange (BUX index) and Poland Stock Market (WIG20 index) based on the portfolio diversification model. Results of the study provide information on the diversification benefits generated when SAX, BUX and WIG20 join their stock markets. The study considers that each stock index represents an independent portfolio. Portfolios are built to stand on the available companies that are listed on each stock index from 2007 till 2017. The results of the study show that BUX generates the lowest risk and highest weighted average return. In contrast, SAX is the riskiest portfolio but generates the lowest weighted average return. The results find that the stock prices of BUX have larger positive correlation than the stock prices of SAX. Moreover, the highest diversification benefits are realized when Portfolio SAX joins Portfolio BUX and the lowest diversification benefits are achieved when SAX joins WIG20.

scholarly journals Financial Distress and Bankruptcy Prediction in Conditions of Slovak Republic

2021 ◽  
Vol 92 ◽  
pp. 08017
Author(s):  
Filip Rebetak ◽  
Viera Bartosova
Keyword(s):  
Financial Distress ◽  
Prediction Models ◽  
Financial Analysis ◽  
Slovak Republic ◽  
Value Added ◽  
Theoretical Background ◽  
Bankruptcy Prediction ◽  
Important Place ◽  
Non Profit ◽  
Analysis And Synthesis

Research background: Prediction of bankruptcy has an important place in financial analysis of an organization in the globalized economy. Ever since the first publication of a paper on bankruptcy prediction in 1932, the field of bankruptcy prediction was attracting researchers and scholars internationally. Over the years, there have been a great many models conceived in many different countries, such as Altman’s Z score or Ohlson’s model for use for managers and investors to assess the financial position of a company. Globalization in last few decades has made it even more important for all stakeholders involved to know the financial shape of the company and predict the possibility of bankruptcy. Purpose of the article: We aim in this article to examine the financial distress and bankruptcy prediction models used or developed for Slovakia to provide an overview of possibilities adjusted to specific conditions of the Slovak Republic in context of globalization. We will also look at the possibility of use of these prediction models for assessing financial status of non-profit organizations in the Slovak Republic. Methods: We will use analysis and synthesis of current research and theoretical background to compare existing models and their use. Findings & Value added: We hope to contribute with this paper to the theoretical knowledge in this field by summarizing and comparing existing models used.

scholarly journals Application of Altman Modified Z-Score to Predict Financial Distress in the Indonesian Telecommunications Industry

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Rianti Fifriani ◽  
Perdana Wahyu Santosa
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Financial Statements ◽  
Telecommunications Industry ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Purposive Sampling ◽  
Modification Method ◽  
The Future ◽  
The Right

Bankruptcy prediction is needed to assess the prospect of going concern and sustainability of the corporations in the future. This study aims to predict the bankruptcy of corporates with the Altman Z-Score Modification model in the telecommunications industry in Indonesia. The data used are the financial statements of the telecommunications industry that listing on the Indonesia Stock Exchange for the period 2011-2015. Samples for this study uses purposive sampling according to company criteria. The results of the study using the Altman Z-score modification method found two potentially bankrupt companies, namely Bakrie Telecom, Tbk, and Smartfren, Tbk. While Indosat, Tbk, and XL Axiata, Tbk have high financial distress potential due to liquidity and profitability problems that tend to weaken. Meanwhile, Telkom Indonesia, Tbk, and Infracom Inovisi financial concessions are relatively healthy and have the right business expectations

scholarly journals Pengaruh Financial Distress, Umur Perusahaan, dan Good Corporate Governance pada Kecepatan Publikasi Laporan Keuangan Tahunan

2019 ◽  
pp. 2010
Author(s):  
Arl Jonathan Paulalengan ◽  
Ni Made Dwi Ratnadi
Keyword(s):  
Corporate Governance ◽  
Financial Distress ◽  
Stock Exchange ◽  
Participant Observation ◽  
Sampling Technique ◽  
Financial Statements ◽  
Good Corporate Governance ◽  
Observation Methods ◽  
Food And Beverage ◽  
Negative Effect

The purpose of this study examines the effect of financial distress, company age, and good corporate governance on the speed of publication of annual financial statements. This research was focused in the food and beverage companies listed on Indonesia Stock Exchange (IDX). Samples are determined by non-probability sampling, purposive sampling technique. Sample criteria, the company reports its annual financial statements in a row from 2014 to 2017. The samples were 12 companies with four years of observation. Methods of collecting data with non-participant observation, accessing annual financial reports. The data analysis technique is multiple linear regression. Based on the results, found that financial distress had a negative effect on the speed of publication of annual financial statements. The age of the company does not affect the speed of publication of annual financial statements. Good corporate governance has a positive effect on the speed of publication of annual financial statements. Keywords: Publication, distress, good corporate governance, age

FINANCIAL DISTRESS PREDICTION AND SEEING THE INFLUENCE OF THE ALTMAN RATIO ON COMPANY FINANCIAL DISTRESS

2018 ◽  
Vol 23 (3) ◽  
pp. 236-243
Author(s):  
Hadhi Dharmaputra Juliyan ◽  
Bertilia Lina Kusrina
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Large Role ◽  
Corporate Bankruptcy ◽  
Mining Companies ◽  
Financial Distress Prediction ◽  
Distress Prediction ◽  
Score Model

This research aims to determine the level of the bankruptcy of the company and to see if the Altman ratio can predict the condition of corporate bankruptcy in mining companies on the Indonesia Stock Exchange because mining companies have a large role in the Indonesian economy. This study uses the Altman Z-Score model analysis to see how much the company's bankruptcy prediction and uses logistic regression to see how much the influence of the Altman ratio in predicting corporate bankruptcy. Keywords: financial distress, the Altman z–score, bankruptcy prediction

scholarly journals ANALISIS PREDIKSI KEBANGKRUTAN BERDASARKAN METODE ALTMAN Z-SCORE (STUDI KASUS PADA BANK BUMN YANG TERDAFTAR DI BEI)

2019 ◽  
pp. 191
Author(s):  
I Komang Try Satriawan Korry ◽  
Made Pratiwi Dewi ◽  
Ni Luh Anik Puspa Ningsih
Keyword(s):  
Financial Distress ◽  
Deposit Insurance ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Gray Area ◽  
Analysis Technique ◽  
Score Method

Abstract: Bankruptcy Prediction Analysis Based on the Altman Z-Score Method (Case Study ofState-Owned Banks Registered on the IDX). Bankruptcy phenomena can occur in every company.Based on data from the Deposit Insurance Agency (LPS), there were 90 banks liquidated since 2005 until mid-2018. Based on the phenomenon of bankruptcy that occurred, it was important for banks to be no exception for state-owned banks to recognize the symptoms of financial distress thatled to bankruptcy. The purpose of this study was to determine the prediction of bankruptcy basedon the Altman Z-Score method on state-owned banks listed on the Indonesia Stock Exchange (IDX).The data analysis technique used in this study is descriptive analysis techniques. The sample inthis study used four state-owned banks, namely Bank Negara Indonesia, Bank Rakyat Indonesia,Bank Tabungan Nasional, and Bank Mandiri with the technique of determining saturated samplingsamples and the data used were financial statements for the 2014-2017 period obtained throughofficial IDX sites (www.idx.co.id). The results of the study show that all state-owned banks are inthe gray area for the period of 2014-2017 because the value of the Z-score obtained is between 1.1and 2.6.

scholarly journals Testing Altman’s Z’’-Score to assess the level of accuracy of the model in Mexican companies

Nova Scientia ◽  
2021 ◽  
Vol 13 (27) ◽  
Author(s):  
Martín P. Pantoja Aguilar ◽  
Guadalupe de Montserrat Pizano Ramírez ◽  
Berenice Lerma Torres ◽  
Miguel Ángel Zavala Vargas
Keyword(s):  
Longitudinal Research ◽  
Stock Exchange ◽  
Total Error ◽  
Time Frame ◽  
Emerging Countries ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Z Scores ◽  
Score Model ◽  
High Level

Introduction: in 1968, Altman developed a multivariable predictive Z-score model to assess the probability of a public manufacturing company going to bankruptcy based on financial ratios. Later, Altman (1983) re-stated a more improved Z’’-Score model designed to apply in public or private, manufacturing, or non-manufacturing firms, but also in emerging countries. Prediction of the updated model proved to be highly efficient. This research was conducted to prove the level of accuracy of the Z’’-Score model applied to firms listed in the Mexican Stock Exchange (MSE) since there is little relevant research on this subject.                     Method: this research was conducted under a quantitative approach as a census and its scope was situational with a non-experimental and longitudinal research design. The period covered by this research was 2012-2019 since the data was available for those years under a somehow stable economic situation without significant economic ups and downs. This research considered the integration of a large financial database and the design of a typology to classify and analyze 155 firms based on a standard deviation and average results of 837 Z’’-scores. A second analysis was conducted to prove if the predicted situation (area) by the Z’’-Score corresponded to the real situation in the marketplace for every company. Results: the results showed that the accuracy level of the Altman model decreased when applied to Mexican firms. The error of the model applied to Mexican companies related to those classified in the bankruptcy prediction area was 75 % of misclassification cases. The total error of the model included all areas, or cases, was 18 % of misclassification cases. This model is supposed to be effective within a time frame of two years before a possible bankruptcy. Even considering a longer time frame, the companies located in the bankruptcy prediction area continued having misclassifications representing 57 % of error. The error for the model considering all cases and all areas, was 14 % of misclassification cases. This represented a high level of inefficiency of the model applied to an emerging country companies, such as Mexico. Discussion or conclusion: the model is certainly effective while predicting companies in the areas of non-bankrupt sector and grey, but it was inefficient when predicting the possibility of bankruptcy. It was also demonstrated that the time frame of two years is no longer effective when applying the model to Mexican companies. As a result, more research cases are needed to update the model to perform efficiently in emerging countries including country-specific conditions and considering a different time frame to predict bankruptcy.

scholarly journals Pengaruh Rasio Keuangan Terhadap Financial Distress pada Industri Food And Beverage di Bursa Efek Indonesia Periode 2017-2019

2021 ◽  
Vol 5 (1) ◽  
pp. 59
Author(s):  
Dwi Nurhayati ◽  
Riana R Dewi ◽  
Rosa Nikmatul Fajri
Keyword(s):  
Cash Flow ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Financial Reports ◽  
Additional Information ◽  
Food And Beverage ◽  
Flow Variables

This study aims to determine the effect of profitability, leverage, liquidity, and cash flow on financial distress. This study uses a logistic regression data analysis method with the help of the SPSS version 21 program. The population in this study were 19 food and beverage companies on the Indonesia Stock Exchange (BEI) from 2017-2019. The data used in this study is secondary data obtained from financial reports published by the company from the website (www.idx.co.id). The sample was determined by the purposive sampling method, which is based on the criteria set and obtained as many as 19 companies where the research was conducted for 3 years so that 57 samples were obtained consisting of 15 companies that experienced financial distress and 42 companies that were non-distressing. The results of this research indicate that profitability, leverage and liquidity have no effect on financial distress while cash flow variables have an effect on financial distress. The results of this research are expected to be additional consideration in making company decisions in managing the company in order to avoid financial distress. And can be additional information for users of financial statements for consideration of investment decisions

scholarly journals An Analysis of Sharia and Conventional Shares’ System at Indonesia Stock Exchange

2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Hersugondo Hersugondo ◽  
Cholimatul Sadiyah ◽  
Eka Handriani ◽  
Herry Subagyo ◽  
Sih Darmi Astuti
Keyword(s):  
Capital Market ◽  
Stock Exchange ◽  
Bad News ◽  
Good News ◽  
Risk Level ◽  
Volatility Risk ◽  
The Third ◽  
The Stability ◽  
High Level ◽  
Real Assets

There are lots of alternative investing. It is started from investment real assets, securities, from conventional and manifold sharia. Islamic Capital market and conventional have some type securities which have different risk level of risks. A stock is one of securities among other securities that have the high level of risk. One of the risks that exists in the stock is fluctuations price, it is commonly called as volatility. The aim of this research is to identifiy the risk of sharia stock and conventional stock in Indonesia Stock Exchange (BEI) by using Jakarta Islamic Indekx (JII) and LQ45 Indeks variabels. In our research, we use time series started on 1 January 2015 to 10 October 2016 from yahoo finance with ARCH/GARCH and EGARCH models processed by Eview 8. Based on research finding with GARCH and EGARCH, this research tends to EGARCH. The fist finding shows that volatility stock JII lower, 0,075 than LQ45 0,0316. If volatility is higher, it means the stability degree lower. Both of those stocks are dominated by bad news and good news. Between JII and LQ45, the news respon is higher on LQ45. It means the volatility risk impact higher on LQ45. The third finding is the JII forecasting results through EGARCH has refrection proportion JII has smaller 0,194 than LQ45 0,678. It means that JII volatility is lower than LQ45.

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