scholarly journals ANALISIS FINANCIAL DISTRESS DENGAN ACCOUNTING RATIO DAN FORECASTING BANKRUPCY TERHADAP PERUSAHAAN PERBANKAN GO PUBLIC DI INDONESIA

2017 ◽  
Vol 17 (1) ◽  
pp. 25
Author(s):  
Rihardhiny Nariswari Putri ◽  
Djuminah Djuminah
Keyword(s):  
Direct Effect ◽  
Intellectual Capital ◽  
Financial Distress ◽  
Quantitative Method ◽  
Negative Influence ◽  
Company Performance ◽  
Z Score ◽  
Public Companies ◽  
Bankruptcy Risk ◽  
Average Value

<p><em>This study aims to analyze the prediction level of bankruptcy by the method of Altman Z Score on banking companies Go Public during the year 2010-2014, the prediction of performance by using intellectual capital in companies that Go Public during the year 2010-2014 and the influence between intellectual capital against the risk of bankruptcy on Go Public companies are battling for 2010-2014.</em></p><p><em>This research uses quantitative method to know its direct effect. Meanwhile, to analyze the risk of bankruptcy using Altman Z-Score and to analyze intellectual capital using VAIC.The results of this study are a) During 2010 - 2014 the average banking indicated bankrupt 43.45%, 50.34% gray, and not bankrupt 6.21%. B) The average value of intellectual capital in 2010-2014 with the top category of 24.14%, good as much as 38.62%, common as much as 28.28% and bad as much as 8.97%. Thus it can be said that intellectual capital of banking in Indonesia is relatively good to support company performance. C) There is a significant negative influence between intellectual capital against bankruptcy risk.</em></p><p><em> </em></p><p><strong><em>Keywords</em></strong><em>: Bankruptcy, Intellectual Capital</em></p>

scholarly journals ANALYSIS METHOD OF ALTMAN Z SCORE MODIFICATIONS TO PREDICT FINANCIAL DISTRESS ON THE COMPANY GO PUBLIC SUB SECTOR OF THE AUTOMOTIVE AND COMPONENTS

2018 ◽  
Vol 2 (03) ◽  
Author(s):  
Suhesti Ningsih ◽  
Febrina Fitri Permatasari
Keyword(s):  
Financial Distress ◽  
Automotive Sector ◽  
Z Score ◽  
Analysis Method ◽  
Average Value ◽  
Public Company ◽  
Year 2013

This research aims to analyze the variables from methods of Altman Z Score Modification in predicting financial distress in go public company automotive sub sector and component 2012-2016 periods. The results of the analysis using the method of Altman Z Score Modifications show that companies in the automotive sector and sub components of almost every year there are enterprises that are predicted to have experienced financial distress. In 2012 the company predicted experience financial distress is GDYR, the year 2013 there are 2 companies i.e. BOLT and GDYR, the year 2014 they are IMAS GDYR and predictable. In the year 2015 there are 2 companies i.e. IMAS, GDYR and 2016 year whereas LPIN is GDYR, IMAS and PRAS. The results of the analysis of the average value of Z "Score of years 2012-2016 under 1,1 on go public company automotive sub sector and components according to the analysis of Z" Score of the companies in financial distress condition is GDYR and the IMAS. From the analysis results annually and on average during the period 2012 to 2016 suggest that there are some companies that are predictable in financial distress is evidenced by the value of its Z "Score under 1,1.

scholarly journals Perbandingan Financial Distress Bank Syariah Di Indonesia Dan Bank Islam Di Malaysia Sebelum Dan Sesudah Krisis Global 2008 Menggunakan Model Altman ZScore

2017 ◽  
Vol 3 (11) ◽  
pp. 900
Author(s):  
Siti Zulaikah ◽  
Nisful Laila
Keyword(s):  
Financial Distress ◽  
Quantitative Method ◽  
T Test ◽  
Islamic Banks ◽  
Z Score ◽  
Global Crisis ◽  
Significance Level ◽  
Purposive Sampling ◽  
Significant Difference ◽  
Before And After

This study aims to find out the comparison between the prediction of financial distress of Islamic Banks in Indonesia and that of Islamic Banks in Malaysia before and after the global crisis 2008 using quantitative method and purposive sampling. The prediction of financial distress was done by using Altman Z-score measuring. The technique used to examine the financial distress is Mann-Whitney, and for those after the crisis were examined using Independent sample T-test. The result of this research shows that there is a significant difference between Islamic banks in Indonesia and those in Malaysia either before or after the global crisis 2008 with 5% significance level. The Islamic banks in Indonesia are in secure zone either before or after the crisis. However, the Islamic banks in Malaysia are in grey areawhich cannot be made sure of the bankruptcy either before or after the crisis.

scholarly journals Analisis Prediksi Risiko Kebangkrutan Berdasarkan Nilai Aset dan Liabilitas Menggunakan Metode Altman Z-Score: Studi Kasus Jiwasraya (Periode 2014, 2015, 2016, 2018, dan 2019)

2021 ◽  
Vol 5 (1) ◽  
pp. 25
Author(s):  
Roufan Hirqoni Araniri ◽  
Angelita Buulolo ◽  
Tarikh Luthfi Simanjuntak ◽  
Jordan Ahmad Yasir ◽  
Dewi Hanggraeni
Keyword(s):  
Financial Distress ◽  
Financial Statements ◽  
Analysis Tool ◽  
Z Score ◽  
Bankruptcy Risk ◽  
Financial Report ◽  
Grey Area ◽  
Score Analysis ◽  
Edge Based

Jiwasraya is on the incisive edge. Based on 2019 Jiwasraya financial report, Jiwasraya’s ratio of solvency reached -18886.10% as of December 2019. By using the value of Jiwasraya's assets and liabilities based on the Jiwasraya Financial Statements for five periods (2014, 2015, 2016, 2018, 2019), the author used the Altman Z-Score analysis tool to measure the risk of Jiwasraya's bankruptcy. From the calculations using the Altman Z-Score, it can be concluded that Jiwasraya's Altman Z-Score is in the category of bankruptcy risk in 2014, 2018 and 2019 periods, while in 2015 and 2016, Jiwasraya's Altman Z-Score is in Grey area or it can be interpreted that Jiwasraya experienced financial distress in the 2015 and 2016 periods while there is still a possibility to avoid potential bankruptcy and the possibility of bankruptcy with the same magnitude.Keywords: Jiwasraya, Altman Z-score, kebangkrutan, Aset, Liabilitas.

The performance effect of intellectual capital in the Russian context

2019 ◽  
Vol 20 (3) ◽  
pp. 335-354 ◽  
Author(s):  
Mariia A. Molodchik ◽  
Carlos Maria Jardon ◽  
Anna Andreevna Bykova
Keyword(s):  
Intellectual Capital ◽  
Linear Models ◽  
Methodological Approach ◽  
Levels Of Analysis ◽  
Company Performance ◽  
Public Companies ◽  
Content Type ◽  
Performance Effect ◽  
Performance Determinants ◽  
Different Levels

Purpose The purpose of this paper is to present a comparative analysis of the contribution made by intellectual capital (IC) to company performance at company and industry levels in the Russian context. It examines the performance effect of IC using a multilevel approach. Design/methodology/approach The study combines the resource- and industry-based view. It decomposes performance determinants into two levels of analysis in such a way that it is assumed that IC at industry and company levels has a significant simultaneous impact on company performance. The empirical part of the study uses a database of 1,096 Russian public companies, covering the period of 2004–2014 and divided into 19 industries. The econometric methodology uses hierarchical linear models to estimate the effect of IC in the different levels of analysis. Findings The study confirms that the strength of the performance effect of IC is contingent on the industry. Furthermore, the study reveals that industry-level endowment with regard to intangibles contributes more to company performance in comparison with a company-level endowment, in the context of the transitional economy. Originality/value The study proposes a novel methodological approach to the performance effect of IC in the Russian context, studying the differences between industry and company effect. The study provides insights to better understand the importance of the politics of IC at the different levels (industry and company) and presents a new empirical enquiry into strategic behaviour regarding IC in Russia.

scholarly journals Analisis Kebangkrutan dengan Model Altman Z-Score pada Perusahaan Sektor Industri Dasar dan Kimia di Bei Periode 2013-2014

2017 ◽  
Vol 26 (01) ◽  
pp. 136-163
Author(s):  
Suci Kurniawati
Keyword(s):  
Financial Distress ◽  
Quantitative Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Z Score ◽  
Manufacturing Company ◽  
Score Model ◽  
Score Index

 The purpose of this study is to analyze the company's financial distress on basis industry and chemical sectors as many as 57 companies using the ALTMAN Z-Score model in 2013-2014. The data which used was secondary data, such as Financial Statements of manufacturing company publication issued by Indonesian Stock Exchange (BEI) and obtained by downloading the website: www.idx.com. This study uses descriptive quantitative method. The finding of Z-Score index in basis industry and chemical sector in 2013 is occupied by PT. Intan Wijaya Internasional Tbk on chemical subsector and 2014 is occupied by PT. Alakasa Industrindo Tbk on metal subsector and others, with the first highest rank and healthy condition, whereas the last and lowest rank on wood and processing sector  in 2013-2014 is PT. SLJ Global Tbk, with having financial distress condition. The findings of this study are not consistent or even  in accordance with the reality which shows that the Altman method can not be used as a tool to indicate a tendency towards company’s financial distress.

scholarly journals Enterprise Risk Management to Minimizing Financial Distress Condition Using Analytical Hierarchy Process Method in PT. XYZ

2021 ◽  
Vol 6 (1) ◽  
pp. 76-86
Author(s):  
Ervie Nur Afifa Mukhlis ◽  
Sylviana Maya Damayanti
Keyword(s):  
Risk Management ◽  
Financial Distress ◽  
Enterprise Risk Management ◽  
Z Score ◽  
Risk Environment ◽  
Bankruptcy Risk ◽  
Telecommunications Infrastructure ◽  
Enterprise Risk ◽  
Risk Management Process ◽  
Hierarchy Process

PT. XYZ as one of telecommunications infrastructure providers that suffered losses gave a strong signal that the company was experiencing financial distress. Altman z-score is used to know the condition of the company. The result of Altman z-score analysis company has to further analyze the cause of financial distress. To prevent the company from bankruptcy risk, we cannot only focus on the financial aspect but also from various aspect. Enterprise risk management is used as a tool to identify what risks that could lead companies to experience financial distress and which risk should be mitigated. Risk assessment in this study using the analytic hierarchy process to check and reduce the expert inconsistency. After conducting risk management process, monitoring and review as the final step and implementation of this study. The result from this study is most of the risk are classified into high and medium risk can be mitigate by reduce or transfer the risk depend on the most suitable risk treatment. There are risks that classified as low risk, environment risk and promotion risk.

PENGARUH TOTAL QUALITY MANAGEMENT (TQM) TERHADAP KINERJA PERUSAHAAN MELALUI PERILAKU PRODUKTIF KARYAWAN PADA PT. TOMORROW’S ANTIQUES INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 1-20
Author(s):  
I Wayan Suartina ◽  
Ni Nyoman Adityarini Abiyoga Vena Swara ◽  
Ni Luh Sri Astiti
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Path Analysis ◽  
Quantitative Method ◽  
Descriptive Analysis ◽  
Company Performance ◽  
Total Quality ◽  
Analysis Technique ◽  
Z Value

This study aims to determine the effect of Total Quality Management (TQM) on employee productive behavior and company performance at PT. Tomorrow’s Antiques Indonesia. This study uses a quantitative method with a sample of 104 employees. Data was collected by observation, interviews, documentation, literature, and questionnaires. The analysis technique used descriptive analysis, path analysis (analysis path), and sobell test. The results of the total quality management (TQM) research have a positive and significant effect on employee productive behaviour at PT. Tomorrow's Antiques with coefficient of 0.986 and a sig value of 0.00 <0.05; employee productive behavior has a positive and significant effect on company performance at PT. Tomorrow's Antiques with coefficient of 0.606 and a sig value of 0.00 <0.05; total quality management (TQM) has a positive and significant effect on company performance at PT. Tomorrow's Antiques with coefficient of 0.396 and a sig value of 0.00 <0.05, and employee productive behaviour can mediate the effect of total quality management (TQM) on company performance at PT. Tomorrow's Antiques with Z value (17,311) > Z table (1,96).

ANALISA KESEHATAN KEUANGAN PERUSAHAAN UNTUK MEMPREDIKSI KEBANGKRUTAN PERUSAHAAN DENGAN MENGGUNAKAN METODE ALTMAN (STUDI KASUS PADA PERUSAHAAN MANUFAKTUR SEKTOR KOMPONEN OTOMOTIF YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011 – 2015)

2019 ◽  
Vol 13 (2) ◽  
pp. 55
Author(s):  
Indar Khaerunnisa ◽  
Edy Cahyadi
Keyword(s):  
Motor Vehicle ◽  
Stock Exchange ◽  
Secondary Data ◽  
Z Score ◽  
Financial Ratio ◽  
Average Value ◽  
Automotive Components ◽  
Grey Area ◽  
Financial Ratio Analysis ◽  
Year 2013

The Indonesian government has set the motor vehicle industry as one of the priority industries of the national interest, economic growth, and increased productivity. In order for the survival of a company is maintained, then the management should be able to maintain or even more spur increased performance. Various analyzes were developed to predict the beginning of the bankruptcy of the company. One analysis is widely used today is the analysis of Altman Z-Score, which this analysis refers to the financial ratios of the company. The purpose of this study was to analyze the bankruptcy of the automotive components companies that go public in Indonesia Stock Exchange year period 2011–2015. This study used a sample of four companies from the automotive components sector. Source of data is done by using secondary data. The data is processed by the method of the Z-score formula Z = 1,2X1 + 1,4X2 + 3,3X3 + 0,6X4 + 0,999X5. With the description of Z < 1,8 the company categorized into unhealthy/will be bankrupt, the value Z 1,8 < 2,99 the company is considered to be in the uncertain/grey area and the value of Z > 2,99 then the company is in a very healthy. In general, the results of these studies indicate that the four automtive components companies namely PT Astra Otoparts year 2011 value of Z = 14,67 year 2012 value of Z = 10,88 year 2013 value of Z = 13,90 year 2014 value of Z = 10,54 year 2015 value of Z = 4,94, PT Gajah Tunggal year 2011 value of Z = 5,72 year 2012 value of Z = 4,75 year 2013 value of Z = 3,10 year 2014 value of Z = 2,79 year 2015 value of Z = 1,58 and the average value of 2011-2015 periode Z = 3,59, PT Goodyear Indonesia year 2011 value of Z = 2,07 year 2012 value of Z = 2,44 year 2013 value of Z = 2,57 year 2014 value of Z = 2,02 year 2015 value of Z = 2,76, PT Indomobil Sukses Internasional year 2011 value of Z = 6,19 year 2012 value of Z = 3,99 year 2013 value of Z = 3,17 year 2014 value of Z = 2,59 year 2015 value of Z = 1,74. The average value 2011-2015 period showed 3 companies are in very healthy state and 1 company is in the uncertain/grey area. Keywords: Financial Ratio Analysis, Analysis of bankruptcy, Altman Z-Score Analysis, Automotive Components Company, Go Public.

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