scholarly journals Using Financial Ratios and Managing Financial Risks in Investing in “Grey” Zone Companies: Evidence from Malaysia

2014 ◽  
Vol 1 (2) ◽  
pp. 1-8
Author(s):  
Ben Chin-Fook Yap ◽  
Gary James Clayton ◽  
ulkifflee Bin Mohamed
Keyword(s):  
Financial Ratios ◽  
Financial Risks ◽  
Grey Zone

scholarly journals PREDICTION OF FINANCIAL DISTRESS IN THE AUTOMOTIVE COMPONENT INDUSTRY: AN APPLICATION OF ALTMAN, SPRINGATE, OHLSON, AND ZMIJEWSKI MODELS

2020 ◽  
Vol 1 (4) ◽  
pp. 606-618
Author(s):  
Hendra Pratama ◽  
Bambang Mulyana
Keyword(s):  
Panel Data ◽  
Financial Distress ◽  
Sampling Technique ◽  
Safe Zone ◽  
Financial Ratios ◽  
Grey Zone ◽  
Z Score ◽  
Automotive Component ◽  
Automotive Component Industry ◽  
Early Warnings

This study aims to identify and examine the condition of financial distress in the automotive component industry issuers in the period 2014 ~ 2018, using the Altman Z-score, Springate S-score, Ohlson O-score, and Zmijewski X-score against financial ratios as an analysis form of company management to predict the early warnings of company bankruptcy. This study uses quantitative, secondary, and panel data; while the sample uses a non-probability boring sampling technique of 11 companies. The results showed that these four models can predict financial distress by identifying each model. Altman’s model found 8 distress zone points, 16 grey zone points, and 31 safe zone points. Springate’s model found 37 points in the distress zone, and 18 points in the safe zone. Ohlson's model found 3 points in the distress zone, and 52 points in the safe zone. Zmijewski's model found only 1 point in the distress zone

Confronting the grey zone after severe brain injury

2019 ◽  
Vol 3 (6) ◽  
pp. 707-711 ◽  
Author(s):  
Andrew Peterson ◽  
Adrian M. Owen
Keyword(s):  
Brain Injury ◽  
Ethical Issues ◽  
Vegetative State ◽  
Clinical Care ◽  
Grey Zone ◽  
Severe Brain Injury ◽  
New Methods ◽  
Legal Decision Making ◽  
Technological Developments ◽  
The Brain

In recent years, rapid technological developments in the field of neuroimaging have provided several new methods for revealing thoughts, actions and intentions based solely on the pattern of activity that is observed in the brain. In specialized centres, these methods are now being employed routinely to assess residual cognition, detect consciousness and even communicate with some behaviorally non-responsive patients who clinically appear to be comatose or in a vegetative state. In this article, we consider some of the ethical issues raised by these developments and the profound implications they have for clinical care, diagnosis, prognosis and medical-legal decision-making after severe brain injury.

Grey Zone Lymphoma in Children and Adolescents: Experience of Pediatric Hodgkin and Non-Hodgkin Study Groups

2014 ◽  
Vol 226 (02) ◽  
Author(s):  
B Burkhardt ◽  
D Körholz ◽  
W Klapper ◽  
W Woessmann ◽  
C Mauz-Körholz
Keyword(s):  
Children And Adolescents ◽  
Study Groups ◽  
Grey Zone

Fractional Flow Reserve: Does a Cut-off Value add Value?

2016 ◽  
Vol 11 (1) ◽  
pp. 17
Author(s):  
Shah R Mohdnazri ◽  
◽  
◽  
◽  
Thomas R Keeble ◽  
...  
Keyword(s):  
Fractional Flow Reserve ◽  
Coronary Intervention ◽  
Grey Zone ◽  
Fractional Flow ◽  
Non Invasive ◽  
Invasive Test ◽  
Flow Reserve ◽  
A Value ◽  
Percutaneous Coronary ◽  
Value Add

Fractional flow reserve (FFR) has been shown to improve outcomes when used to guide percutaneous coronary intervention (PCI). There have been two proposed cut-off points for FFR. The first was derived by comparing FFR against a series of non-invasive tests, with a value of ≤0.75 shown to predict a positive ischaemia test. It was then shown in the DEFER study that a vessel FFR value of ≥0.75 was associated with safe deferral of PCI. During the validation phase, a ‘grey zone’ for FFR values of between 0.76 and 0.80 was demonstrated, where a positive non-invasive test may still occur, but sensitivity and specificity were sub-optimal. Clinical judgement was therefore advised for values in this range. The FAME studies then moved the FFR cut-off point to ≤0.80, with a view to predicting outcomes. The ≤0.80 cut-off point has been adopted into clinical practice guidelines, whereas the lower value of ≤0.75 is no longer widely used. Here, the authors discuss the data underpinning these cut-off values and the practical implications for their use when using FFR guidance in PCI.

ANALISIS PREDIKSI POTENSI KEBANGKRUTAN PADA PT BANK MUAMALAT INDONESIA Tbk PERIODE 2012-2016 DENGAN MENGGUNAKAN METODE ALTMAN MODIFIKASI

2017 ◽  
Vol 5 (2) ◽  
pp. 287-324
Author(s):  
Dewi Laela Hilyatin
Keyword(s):  
Financial Performance ◽  
Financial Structure ◽  
Financial Statements ◽  
Financial Ratios ◽  
Z Score ◽  
Altman Analysis ◽  
Gray Area ◽  
Modification Method ◽  
A Company

Abstract Bankruptcy is a very essential issue that every company should be aware of. Bankruptcy of a company can be minimized by advanced prediction; such as analyzing the financial statements. This study discusses the financial performance of PT Bank Muamalat Indonesia Tbk, which indicates that there is a degression in some number of financial ratios, the closing of offices and firing of employees in 2012-2016, causing he fact that BMI must pay attention and improve its financial performance and anticipate the existence of a bankruptcy in the company. Based on Altman analysis modification for financial performance of PT Bank Muamalat Indonesia Tbk in 2012-2016, it found Z-Score value of 0,825, 0,659, 1,243, 0,982 and 0,892. Based on Z-Score criteria, PT Bank Muamalat Indonesia Tbk is predicted to experience problems in management and financial structure and also in potentially bankruptcy due to Z-Score value <1,1 while the highest Z-Score value is in 2014, which shows the value of Z-Score>1,1 and <2,6, which means the company is in the gray area, meaning the company’s category is not said to be bankrupt and also not healthy. Keywords: Bankruptcy, Altman Modification Method

The Soviet and Western theories of financial management – The competition or the partnership?

2020 ◽  
Vol 26 (5) ◽  
pp. 991-1016
Author(s):  
A.G. Lukin
Keyword(s):  
Soviet Union ◽  
Financial Management ◽  
Historical Analysis ◽  
Management Theory ◽  
Financial Risks ◽  
Financial Flows ◽  
Dialectical Approach ◽  
The Soviet Union ◽  
Analysis And Synthesis ◽  
Effective System

Subject. This article explores the main points of the theory of financial management, developed within the framework of the Western general theory of finance, and the theory of financial management developed in the Soviet Union. Objectives. The article aims to substantiate an idea that these theories are complementary, and their harmonious application can help build the most effective system of financial relations management at both the macro-and microeconomic levels. Methods. For the study, I used a dialectical approach and the methods of comparison, analysis and synthesis, and historical analysis. Results. The article substantiates the point that the methodology of Western financial management theory is aimed at managing external financial flows and combating external financial risks. It notes that the Soviet theory regulates methods and techniques of financial management within the business entity or the State. Conclusions. Theoretical updating of the Soviet practices of financial management combined with the modern achievements of financial management theory will create conditions for the formation of an optimal financial management structure at both the micro-and macroeconomic levels. This can improve the efficiency of financial management, in general. Renewed interest in the theoretical developments of the Soviet Union will contribute to the development of financial science at the present stage.

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