scholarly journals Identifying medium-sized agricultural enterprises with the greatest potential for innovation development

2021 ◽  
Vol 68 (1) ◽  
pp. 213-227
Author(s):  
Sonja Đuričin ◽  
Isidora Beraha
Keyword(s):  
Agricultural Sector ◽  
Financial Analysis ◽  
Financial Statements ◽  
Z Score ◽  
Innovation Development ◽  
Agricultural Enterprises ◽  
Negligible Probability ◽  
The Subject ◽  
Probability Of Bankruptcy ◽  
Score Model

The aim of the research is to identify medium-sized agricultural enterprises with the greatest potential for innovation development. The subject of the research is the key financial performance of the observed enterprises in 2017. Data were obtained from official financial statements publicly available on the website of the Serbian Business Registers Agency (SBRA). The aim of the research was realized by applying financial analysis methods and the Altman Z-score model. The purpose of the research is to improve the efficiency of limited funds for financing innovative activities in the agricultural sector. The research results are data on enterprises with negligible probability of bankruptcy and which thus have the greatest potential for innovation development.

scholarly journals Z-score and P-score for bankruptcy fraud detection: a case of the construction sector in Latvia

2019 ◽  
Author(s):  
Julija Liodorova ◽  
Irina Voronova
Keyword(s):  
Quantitative Research ◽  
Financial Analysis ◽  
Practical Implication ◽  
Fraud Detection ◽  
Financial Statements ◽  
Construction Sector ◽  
Z Score ◽  
Quantitative Research Methods ◽  
Construction Companies ◽  
Score Model

To protect investment and ensure repayment of payables, recent studies have focused on identifying the relationships between company bankruptcy and internal fraud. The P-score model that is based on the most popular Altman Z-score model has been developed to indicate the manipulation of financial statements. Purpose of the study is to determinate the accuracy and the feasibility of P-score and Z-score models to detect fraudulent bankruptcy in regional conditions, based on reports of the Latvian construction companies that failed due to fraud, and during the verification of other known data. Research methodology is based on the background studies of P-score testifying, applying this approach to the Latvian condition. The present study analyzes the behaviour of the two models in identifying distress and fraud. To testify the results of the study, the authors use the financial analysis methods, comparison, statistical and quantitative research methods. Findings have shown the possibility of using the P-score and Z-score technique for bankruptcy fraud detection at the Latvian companies, based on the construction sector samples. The accuracy of the method is above 80%. Research limitations – acquisition a large amount of data on companies that are in the process of analytical studies on the recognition of their insolvency and having signs of fraud is not possible due to the confidentiality of information. Practical implications – the results of the study may be applicable to the audit of the company, investment reliability assessment, partnership evaluation and economic examination to detect fraud. Originality/Value of the study is the first test of practical implication of P-score model in Latvia and the Baltic countries on the samples of small and medium-sized construction companies. The authors propose improving the coefficients of the P-score model taking into account the requirements for financial statements in Latvia

Problems and prospects of innovative development of enterprises of agroindustrial business

2018 ◽  
pp. 13-16
Author(s):  
O. N. Kolomyts
Keyword(s):  
Agricultural Sector ◽  
Maximum Effect ◽  
Innovative Development ◽  
Innovation Development ◽  
Agricultural Enterprises ◽  
Barriers To Innovation ◽  
Multiplier Effect

The article deals with the main barriers to innovation development directly or indirectly affecting the activities of agricultural enterprises. The directions of development of innovations in the enterprises of the agricultural sector are proposed, which will lead to the maximum effect in terms of the multiplier effect on the economy as a whole.

ANALYSIS OF THE STATE AND DEVELOPMENT OF THE MAIN INDICATORS OF THE AGRICULTURAL SECTOR OF THE ECONOMY OF THE TOKTOGUL REGION OF KYRGYZSTAN

2020 ◽  
Vol 2 (11) ◽  
pp. 71-73
Author(s):  
M. U. USUPOV ◽  
Keyword(s):  
Financial Institutions ◽  
Agricultural Sector ◽  
The State ◽  
Market Demand ◽  
Agricultural Producers ◽  
Money Markets ◽  
Agricultural Enterprises ◽  
State Of The Economy ◽  
The Subject ◽  
Production Losses

The article is devoted to the state of the economy of the subject of the agricultural sector – the Toktogul region of Kyrgyzstan, as well as the formation of a land division, which is impossible without an influx of investments and ensuring the availability of monetary resources for agricultural producers. In our time, innovation is becoming the main means of increasing the benefits of economic entities by better meeting market demand and reducing production losses compared to competitors. Despite repeated attempts by the country to create a system of lending to agricultural companies, only a small percentage of them use credit resources. Various state aid schemes support a competitive environment in the money markets and guarantee relatively equal access to them for financial institutions and agricultural enterprises.

scholarly journals Validity of Altman Z-Score Model to Predict Financial Failure: Evidence From Jordan

2018 ◽  
Vol 10 (8) ◽  
pp. 181 ◽  
Author(s):  
Sufian Al-Manaseer ◽  
Suleiman Al-Oshaibat
Keyword(s):  
Stock Exchange ◽  
Financial Statement ◽  
Insurance Companies ◽  
Z Score ◽  
Financial Reports ◽  
Financial Failure ◽  
Amman Stock Exchange ◽  
The Face ◽  
The Subject ◽  
Score Model

This paper aims to investigate the Validity of Altman z-score model to predict financial failure in insurance companies listed on Amman Stock Exchange (ASE) over the period 2011-2016. To achieve the goal of the study, the study depended on the different statistics analytical method and Multiple Linear Regression through doing the statistical analysis of the independent variables on the dependent variable related to the subject of the study through the (E-views) program in order to cover the analytical part of the study, in addition to the descriptive method through relying on books, periodicals, previous studies and financial reports of the insurance companies of the study’ sample, whether the direct or the indirect ones, to cover the theoretical part. The result of the study finds a high predictive power for Z-score model. Moreover, the findings reveal that Z-Score model could be valuable instrumental indicators for many users of financial statement such as financial managers, auditors, lenders, investors, to make right decisions in the face of financial failure.

scholarly journals Is it Worth Comparing Different Bankruptcy Models?

2015 ◽  
Vol 63 (2) ◽  
pp. 525-531 ◽  
Author(s):  
Miroslava Dolejšová
Keyword(s):  
Financial Performance ◽  
Financial Statements ◽  
T Test ◽  
Small Enterprises ◽  
Z Score ◽  
Statistical Data Analysis ◽  
Financial Condition ◽  
Score Model ◽  
The One ◽  
Paired T Test

The aim of this paper is to compare the performance of small enterprises in the Zlín and Olomouc Regions. These enterprises were assessed using the Altman Z-Score model, the IN05 model, the Zmijewski model and the Springate model. The batch selected for this analysis included 16 enterprises from the Zlín Region and 16 enterprises from the Olomouc Region. Financial statements subjected to the analysis are from 2006 and 2010. The statistical data analysis was performed using the one-sample z-test for proportions and the paired t-test. The outcomes of the evaluation run using the Altman Z-Score model, the IN05 model and the Springate model revealed the enterprises to be financially sound, but the Zmijewski model identified them as being insolvent. The one-sample z-test for proportions confirmed that at least 80% of these enterprises show a sound financial condition. A comparison of all models has emphasized the substantial difference produced by the Zmijewski model. The paired t-test showed that the financial performance of small enterprises had remained the same during the years involved. It is recommended that small enterprises assess their financial performance using two different bankruptcy models. They may wish to combine the Zmijewski model with any bankruptcy model (the Altman Z-Score model, the IN05 model or the Springate model) to ensure a proper method of analysis.

scholarly journals PENERAPAN MODEL Z-SCORE UNTUK PREDIKSI KEBANGKRUTAN BANK BRI SYARIAH TAHUN 2014-2016

2018 ◽  
Vol 16 (1) ◽  
pp. 81-97
Author(s):  
Muhlis Muhlis
Keyword(s):  
Financial Statements ◽  
Debt Ratio ◽  
Z Score ◽  
Bank Management ◽  
Financial Difficulties ◽  
Score Model

Abstract: The application of the z-score model is done to find out the early condition possible to avoid the failure of bank management when experiencing financial difficulties that will trigger potential bankruptcy if the score category is below 2.99. The method used is the Altman Z-Score model by analyzing the financial statements of PT Bank BRI Syariah from 2014-2016. Based on the results of the research conducted, the z-score in 2014 was 5.13 and 6.24 in 2015, while in 2016 it was 5.24. Altman's score results indicate that the company is free from potential bankruptcy. The debt ratio has a guarantee of very good assets. Equity is ideal in fulfilling obligations Abstrak: Penerapan model z-score ini dilakukan untuk mengetahui kondisi sedini mungkin menghindari kegagalan manajemen bank bila mengalami kesulitan keuangan yang akan memicu potensi kebangkrutan bila kategori skornya dibawah 2,99. Metode yang digunakan adalah model Altman Z-Score dengan menganalisis laporan keuangan PT Bank BRI Syariah dari tahun 2014-2016. Berdasarkan hasil penelitian yang dilakukan, nilai z-score tahun 2014 yaitu 5,13 dan 6,24 pada tahun 2015, sedangkan pada tahun 2016 yaitu 5,24. Hasil score Altman ini menunjukkan bahwa perusahaan bebas dari potensi kebangkrutan. Rasio utang mempunyai jaminan aktiva sangat bagus. Ekuitasnya sangat ideal dalam memenuhi kewajiban

scholarly journals Application financial analysis methods for the designing of innovative food enterprises, aimed at import substitution

2019 ◽  
Vol 81 (1) ◽  
pp. 397-401
Author(s):  
K. V. Chekudaev ◽  
G. A. Suyazova ◽  
E. A. Motina ◽  
N. A. Matvienko
Keyword(s):  
Financial Analysis ◽  
Import Substitution ◽  
Financial Statements ◽  
Bankruptcy Risk ◽  
Return On Equity ◽  
Voronezh Region ◽  
Membrane Processing ◽  
Asset Turnover ◽  
Probability Of Bankruptcy ◽  
Product Sales

The article formulates the problem of the lack of pectin production in the country, which affects the food security of Russia. The relevance and significance of this problem, as well as the feasibility of creating a pectin production line in the territory of the Voronezh Region are considered. Various technologies for the production of pectin are given, but the most progressive is the method of electro-membrane processing of technological media. Further, the work presents the production and financial plan of the projected enterprise for the production of pectin and based on its results, forward-looking financial statements are formed. To assess the probability of bankruptcy of an enterprise, it is necessary to create an adapted methodology for assessing the risk of bankruptcy. On the basis of a sample of enterprises whose activities are related to the production of thickeners and gelling agents, some of which are actual bankrupts, a modified Suyazova model is created. economic profitability indicators, current liquidity ratio, return on equity, stock turnover ratio, asset turnover and product sales profitability across all enterprises in the last three years of the company's activity were calculated. On the basis of the calculations made, a new method was obtained, defining 4 possible probabilities of bankruptcy: high, medium, low and minimal. The technique was tested on the same enterprises that were used to create it. Approbation of the methodology showed that in the year of bankruptcy all bankrupt enterprises were classified as bankrupt, and the existing ones were recognized as valid. The model also predicts the average and high probability of bankruptcy two years before the onset of insolvency. This allows us to conclude that the predictive power of the proposed methodology is high. The created model predicts minimal bankruptcy risk for the projected enterprise. Consequently, the creation of pectin production is recognized as expedient and the development of this enterprise must continue.

scholarly journals ANALISIS PREDIKSI KEBANGKRUTAN MENGGUNAKAN MODEL ALTMAN Z-SCORE PADA PERUSAHAAN RITEL YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2014-2018

2021 ◽  
Vol 9 (1) ◽  
pp. 84
Author(s):  
Rosmayana Rusman
Keyword(s):  
Sampling Technique ◽  
Financial Statements ◽  
Critical Issue ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Financial Condition ◽  
Dangerous Zone ◽  
Score Model ◽  
Retail Organizations ◽  
High Degree

Bankruptcy is a critical issue that companies must be aware of. Bankruptcy and the level of the company's performance can be seen from the company's financial condition by analyzing the company's financial statements. The most widely used bankruptcy prediction model is the Altman Z-Score model..The Altman Z-Score model analysis was chosen as the model used in bankruptcy prediction because, this model is easy to use with a high degree of accuracy. The purpose of this research is to determine bankruptcy predictions using the Altman Z-Score model in retail companies listed on the IDX in 2014-2018. This kind of exploration is expressive quantitative utilizing monetary reports as an examination instrument. The examining method was,carried out by utilizing purposive sampling,technique which was then controlled by nine retail organizations as the sample. The results show that on average six companies are in a safe zone, including issuers ECII, HERO, MPPA, RANC, SKYB, SONA and two companies in the gray zone or prone to bankruptcy, namely CENT and KOIN, one company in the dangerous zone, namely RIMO

scholarly journals Using Beneish M-Score and Altman Z-Score models to detect financial fraud and company failure

2021 ◽  
Vol 69 (4) ◽  
pp. 20-29
Author(s):  
Snežana Knežević ◽  
Marko Špiler ◽  
Marko Milašinović ◽  
Aleksandra Mitrović ◽  
Stefan Milojević ◽  
...  
Keyword(s):  
Financial Reporting ◽  
Financial Distress ◽  
Stock Exchange ◽  
Financial Statements ◽  
Z Score ◽  
Fraudulent Financial Reporting ◽  
Financial Decisions ◽  
Score Model ◽  
A Company

Bankruptcy is a risk that any company can face, regardless of its size. The importance of predicting a company's bankruptcy for years before its development is enormous, and it is important for financial sustainability. Financial reporting is an important platform for making financial decisions of investors and creditors. In recent years, the frequency of false financial reporting by firms has increased and there are concerns about investors' confidence in capital market. Academics and industry experts adopt a variety of risk management techniques to detect fraudulent financial reporting. A case study was applied in this paper. Based on publicly available financial data (disclosed financial statements) of a domestic textile company for the period 2017-2020, whose shares are listed on the stock exchange, a survey was conducted based on the application of Altman's Z-Score model and Beneish M-Score model. Financial distress is an important criterion to monitor when assessing the likelihood of fraud reporting. When a company is operating poorly, there is a greater motivation to engage in fraudulent financial reporting. The findings show that the results differ according to the applied method in terms of identifying the possibility of bankruptcy and the possibility of fraud in the financial statements of the observed company. The results of the study can be important to investors, auditors, regulators, bankers, tax and other government bodies.

scholarly journals Memprediksi Tingkat Kelangsungan Usaha PT KAI Melalui Pendekatan Altman Z-Score

2017 ◽  
Vol 3 (1) ◽  
pp. 89
Author(s):  
Haris Haris ◽  
Olfebri Olfebri ◽  
Riza Lestari
Keyword(s):  
Financial Analysis ◽  
Balance Sheet ◽  
Financial Statements ◽  
Health Condition ◽  
Z Score ◽  
Financial Reports ◽  
Transportation Services ◽  
Financial Report ◽  
Financial Position ◽  
Score Method

PT. Kereta Api Indonesia (PT. KAI) a State Owned Enterprises which currently is one of the major players in the ground transportation services industry has long been actively involved in the business of land transportation services. This study is limited in the scope of the analysis of the ratio-financial analysis, and then formulated using Alman z-score method. Ratio analysis is done based on financial data obtained from PT. Kereta Api Indonesia Indonesia ranging from 2012 to 2013. Then the figures obtained will be correlated with theories relevant financial, in order to obtain valid results that can be scientifically defensible. Furthermore, a comparison test as a reference in determining the potential failure of the items in the financial statements, and determine which of the posts have a strong and significant correlation. Media that can be used to examine the health condition of the company was a financial report consists of the Balance Sheet or Statement of Profit / loss, or results of operations, Cash Flow Statement, Statement of Changes in Financial Position. The financial reports produced by the management of a company is the end result of the process of business activities undertaken by the existing components in the company. The financial statements are made to account for the activities of the company to the owner and provide information about the financial position of the company has been achieved against the parties concerned.

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