Thalamic involvement determined using VSRAD advance on MRI and easy Z-score analysis of 99mTc-ECD-SPECT in Gerstmann-Sträussler-Scheinker syndrome with P102L mutation

2017 ◽  
Vol 373 ◽  
pp. 27-30 ◽  
Author(s):  
Atsuhiko Sugiyama ◽  
Noriko Sato ◽  
Yukio Kimura ◽  
Tomoko Maekawa ◽  
Noritaka Wakasugi ◽  
...  
Keyword(s):  
Z Score ◽  
Score Analysis

The impact of credit risk on the financial stability of commercial banks in Vietnam

2021 ◽  
Vol 11 (2) ◽  
pp. 67-80
Author(s):  
Nguyen Quoc Anh ◽  
Duong Nguyen Thanh Phuong
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Financial Stability ◽  
Dynamic Panel Data ◽  
Z Score ◽  
Return On Equity ◽  
Score Analysis ◽  
Negative Effect ◽  
The Difference ◽  
The Impact

This study investigates the impact of credit risk on the financial stability of Vietnamese commercial banks. The paper uses the Z-score to proxy the financial stability of banks. We use the data of 27 Vietnamese commercial banks on BankScope, during 2010 - 2019. The paper applied a dynamic panel data approach; the selected method is the difference GMM (DGMM). The key question discussed is which factor impacts on Z-score. Analysis results show the negative effect of non-performing loans on the financial stability of banks. When commercial banks have higher non-performing loans, the lower the financial stability is. Additionally, bank-specific variables such as equity on asset ratio, the return on equity, the size of the bank and set of macroeconomic variables affect the bank’s financial stability. Based on the analysis results, we imply relevant policies for the State Bank of Vietnam and commercial banks.

scholarly journals A STUDY ON FINANCIAL HEALTH OF SELECTED PUBLIC SECTOR MANUFACTURING COMPANIES OF INDIA : WITH REFERENCE TO Z-SCORE ANALYSIS

2021 ◽  
Vol 9 (08) ◽  
pp. 857-865
Author(s):  
Nidhi Sharma ◽  
◽  
Shivani Peppal ◽  
Keyword(s):  
Public Sector ◽  
Grey Zone ◽  
Manufacturing Companies ◽  
Financial Health ◽  
Z Score ◽  
Common Condition ◽  
Score Analysis ◽  
Score Model

Financial distressed from a decade has become a common condition for manufacturing companies of India. Many public sector manufacturing companies have also witnessing poor financial health. This study has examined the financial health of eighteen selected public sector manufacturing companies which are further divided into four sectors as Metal, Sugar, Paper and Textile. The examination of financial health of selected companies has been performed by calculating Altman Z-score model for four year prior to become distressed. And it has been found by the analysis that most of the company was in either distressed zone or in grey zone. The study also finds that Altman Z-Score Model is a perfect tool to examine the health of public sector manufacturing companies.

scholarly journals Potensi Kebangkrutan Pada Sektor Perbankan Syariah Untuk Menghadapi Perubahan Lingkungan Bisnis

ETIKONOMI ◽  
2016 ◽  
Vol 14 (2) ◽  
Author(s):  
Dwi Nuraini Ihsan ◽  
Sharfina Putri Kartika
Keyword(s):  
Banking Sector ◽  
Environmental Changes ◽  
Risk Profile ◽  
Safe Zone ◽  
Total Asset ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Z Score ◽  
Book Value ◽  
Score Analysis

Potential Bankruptcy On Islamic Banking Sector Facing Business Environmental Changes This research aims is to evaluate the soundness of Islamic banks and to predict the bankruptcy potency from the Islamic banks. The methods that used on this paper are RGEC method and the modified altman z-score analysis. The RGEC is represents by NPF, LR, risk profile, ROA, NCOM, and CAR. The altman z-score is represents by the ratio of networking capital to total asset, retained earning to total asset, earning before interest and tax to total asset, and book value of equity to book value of debt. The result shown that the Islamic bank’s soundness used RGEC methods is fit into healthy category in 2010-2014 periods.  The altman z-score also show that the Islamic banks fit into safe zone in 2010-2014 periods.DOI: 10.15408/etk.v14i2.2268

scholarly journals Analisis Kinerja Keuangan Dan Pengaruhnya Terhadap Harga Saham (Studi Kasus Pada Pt Aqua Golden Mississippi, Tbk Sebelum Akuisisi Saham Dan Sesudah Akuisisi Saham Oleh Danone Periode Tahun 1997 – 2007)

2010 ◽  
Vol 1 (2) ◽  
pp. 158
Author(s):  
Entar Sutisman ◽  
Sad Lingga Fitriana ◽  
Dianwicaksih Arieftiara
Keyword(s):  
Drinking Water ◽  
Financial Performance ◽  
Significant Influence ◽  
Stock Price ◽  
Stock Exchange ◽  
Corporate Financial Performance ◽  
Measuring Instrument ◽  
Z Score ◽  
Score Analysis

AbstractThis research destination is to understand something effect from financial performance to corporate stock price before acquisition and after acquisition. Selected which corporate is PT Aqua Golden Mississippi, Tbk with measuring instrument z – score analysis Taffler model as measuring instrument corporate financial performance and linear regretion to understand something effect from financial performance to stock price with period 1997 – 2007 be based on corporate year after and before acquisition. That indicate from analysis revenue corporate financial performance after and before acquisition significant influence stock price, but just direction relationship which different. This matter because of there are other factor – factor which influence stock price, one of them is corporate drinking water in package stock not likuid in stock exchange. On the contrary, corporate condition after acquisition not significant, this meaning is increase of financial performance not followed with the increasing of corporate stock price

scholarly journals BANKRUPTCY PREDICTION OF THE COMPANY USING ALTMAN Z–SCORE METHOD FOR THE CONVENTIONAL BANKS REGISTERED IN THE INDONESIA STOCKS EXCHANGE (BEI)

2017 ◽  
Vol 2 (02) ◽  
pp. 11
Author(s):  
Irwansyah .
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Gray Area ◽  
Analysis Technique ◽  
Score Analysis ◽  
Score Method ◽  
Score Model ◽  
Conventional Banks

This study was conducted to prove the accuracy of bankruptcy prediction of Altman Z-Score model on conventional banks listed on the Indonesia Stock Exchange. The data used in this study is secondary data obtained from the annual financial statements of conventional banks during the period of 2013-2016 mentioned on the official website of the Indonesia Stock Exchange. The data analysis technique used is bankruptcy prediction of Altman Z-Score model, using five variables representing liquidity ratios X1, profitability ratios X2 and X3, and activity ratios X4 and X5. The formula Z-score = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + X5. When Z-Score criteria is Z > 2.90 it is categorized as a healthy company. Z-Score between 1.23 to 2.90 is categorized as a company in area. While Z-Score Z < 1.23 is categorized as a potential bankrupt company. Based on the results of the research, Z-Score analysis that has been done in the period of 2013-2016 indicating that most conventional banks are predicted bankrupt. The lowest score of the Z-Score is 1.23. Only one Bank Jtrust Indonesia Tbk (BCIC bank code) is in a healthy category. Bank Mandiri (Persero) Tbk with BMRI bank code, has been increasing from the prediction of bankruptcy category to the prediction of gray area category.Keywords: Altman Z-Score, Conventional Banks Listed on BEI 2013-2016, Prediction of Bankruptcy.

scholarly journals Analisis Kebangkrutan pada Bank Syariah Mandiri Periode 2014-2017

2019 ◽  
Vol 5 (1) ◽  
pp. 39-52
Author(s):  
Fadilla Fadilla
Keyword(s):  
Safe Zone ◽  
Total Asset ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Score Analysis ◽  
Value Equity

The perpose of this reseach is to predict the bankcrupty potency from Sharia Mandiri Banking (BSM). The method that used on this paper is modified altman Z score analysis. This research in 2014-2017 periodes. The altman Z score represents by the net working capital to total asset,retaining earning to total asset, earning before interest and tax to total asset, book value equity to book value of debt. The result showed that BSM fit into safe zone in 2014-2017 periods, because the value of z score are 2014 is 6,26, 2015 is 6,2, 2016 is 6,32, 2017 is 6,37. That values bigger than 2,9.  

The Use Of Altman Equation For Bankruptcy Prediction In An Industrial Firm (Case Study)

2011 ◽  
Vol 7 (7) ◽  
Author(s):  
Khalid Al- Rawi ◽  
Raj Kiani ◽  
Rishma R Vedd
Keyword(s):  
Durable Goods ◽  
Financial Analysis ◽  
Bankruptcy Prediction ◽  
Financial Statement ◽  
Z Score ◽  
Financial Statement Analysis ◽  
Future Performance ◽  
Score Analysis ◽  
Study Results ◽  
The Given

Financial analysis provides the basis for understanding and evaluating the results of business operations and explaining how well a business is doing. In addition, the financial statement analysis can help creditors, investors, and managers answer the following questions: Can the company pay the interest and principal on its debt? Does the company reply too much on non-owner financing? Does the company earn an acceptable return on invested capital? Is the gross profit margin growing or shrinking? Does the company effectively use non-owner financing? Are costs under control? Is the companys market growing or shrinking? Do observed changes reflect opportunities or threats? Is the allocation of investment across different assets too high or too low? Furthermore, financial statement analysis reduces our reliance on hunches, guesses, and intuition. Above all, it reduces risk and/or uncertainty in decision making. Therefore, to reduce risk, uncertainty, and avoid bankruptcy one must appreciate the usefulness of financial statement analysis by using some tools and techniques to evaluate and project the future performance of the firm within a given industry.The researchers used the Altman z-score analysis to predict a firms insolvency. The study results for the period 2002-2004 indicated the weaknesses of Jordan Establishment for Marketing Durable goods. The z-score from the analysis (for the given period) was less than 1.81 (z-score <1.81).Evidence suggests that the firm has increased its debt and will be facing bankruptcy in the near future. In liquidity ratios, the percentage of the working capital is less than 1, indicating an increase in liabilities over assets. Leverage ratios increased from 41.7% to 56.7%, while inventory turnover decreased by 1.2 times through the given period. Net profit to total sales reduced from (1.3) to (1.8) for the same period. Also, the assets return percentage declined from (-9.29%) to (-10.3%), while the stock book value declined from (0.95) JD to (0.67) JD through the given period. The main features provide a gloomy picture and indicate inefficiencies within the firm.

Predicting brain amyloid-β deposition using easy Z-score analysis

2017 ◽  
Vol 381 ◽  
pp. 670
Author(s):  
N. Kimura ◽  
T. Makoto Takemaru ◽  
A. Yasuhiro ◽  
H. Takuya ◽  
M. Etsuro
Keyword(s):  
Amyloid Β ◽  
Z Score ◽  
Score Analysis
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