scholarly journals The Possibility of Predictions in Auditor’s Opinion: The Case of the Serbian Tobacco Industry

2018 ◽  
Vol 23 (3) ◽  
pp. 47
Author(s):  
Nataša Spahić ◽  
Bojana Vuković
Keyword(s):  
Discriminant Analysis ◽  
Open Space ◽  
Preliminary Investigation ◽  
Balance Sheet ◽  
Correct Prediction ◽  
Audit Opinion ◽  
Business Market ◽  
Discriminatory Analysis ◽  
Using Data ◽  
Multivariate Discriminant

Research Questions: This paper investigated whether there is a possibility for predictions of an auditor’s opinion that can be used to predict, in an extremely accurate way, future developments in one company. Motivation: The research of Dopuch, Holhausen and Leftwich (1987); Kirkos, Spathis and Manolopoulos (2007) or Kirskos (2012) and Kim and Upneja (2014) open space for new challenges for using auditing methods.The most trying task is to find a technique that will be able to timely, accurately and with the least waste of resources respond to the challenge. The fact that auditors are forced to expand the scope and purpose of the audit work, respecting new risks that are continually changing represents the primary inspiration for this paper. Idea: Our goal was to explore whether one of the possible techniques for prediction the auditor’s opinion – multivariate discriminant analysis – can precisely predict a correct future audit opinion and whether this analysis is useful for finding solutions to performing predictions. Data: The analysis was conducted using data from financial statements of 4 Serbian tobacco companies of years 2011, 2012, 2013, 2014 and 2015 published by the Serbian Business Registers Agency. Tools: The presented research, based on theoretical and mathematical support, uses statistical software tools Statistica. Findings: The application of discriminant analysis in Serbian tobacco companies showed statistically major variables of the balance sheet, manely “Intangible assets", "Supplies" and "Liabilities". Following these variables, we obtained results which we used as the predictors. The outcome of our preliminary investigation presented accurate and correct prediction which is also confirmed by historical data. The result of this investigation can be used for further more complex investigations when using some variables that will lead to discriminatory analysis for more classification groups to mark and rank the most significant variables for expressing the audit opinion. Contribution: Provided information is important for every business, because every entity that is listed on the business market aims to be as better as possible, and find out and exploit the possibility of avoiding a negative result.

scholarly journals The Assessment of Client Creditworthiness Using Predictive Methods Based on Multivariate Discriminant Analysis

2017 ◽  
Vol 2 (1) ◽  
pp. 17-21
Author(s):  
Anna Siekelova ◽  
Erika Spuchlakova
Keyword(s):  
Discriminant Analysis ◽  
Trade Credit ◽  
Debt Crisis ◽  
Balance Sheet ◽  
Jel Classification ◽  
Multivariate Discriminant Analysis ◽  
Predictive Methods ◽  
European Economies ◽  
Brighter Future ◽  
Multivariate Discriminant

Objective - Trade credit is the most important source of external finance for many companies. It appears on every balance sheet and represents more than 50 percent of company's short-term liabilities and a third of all company's total liabilities in OECD countries. Late payment of invoices may suffer firm's solvency. The European economies are now putting the years of financial turmoil and debt crisis behind them and several macro-economic indicators are pointing towards a brighter future. The aim of this paper is to assess creditworthiness of companies. Methodology/Technique - Assessment of client creditworthiness carried out using predictive methods based on multivariate discriminant analysis Findings - The situation in the enterprise can be characterized as stable. An enterprise that chooses this client to provide it a trade credit should also consider supplementing the predictive models by complex financial and economic analysis and review of available. If the firm provides trade credit to more clients, it is necessary to consider that the terms of trade credits may not be the same for everyone but also it is not in the power of company to approach to each client individually. Novelty - The study suggests that client groups can be created by using cluster analysis. Thus, the company may increase efficiency in the provision of trade credit. Type of Paper Review Keywords: Trade Credit; Trade Credit Receivables; Late Payment; Predictive Model; Z Score; IN 01; Taffler Model; G Index; SAF 2002. JEL Classification: E51, G21, G33.

scholarly journals Implimentasi Sistem Bunga dan Bagi Hasil Terhadap Kinerja Keuangan Perbankan

2019 ◽  
Vol 11 (1) ◽  
pp. 209-230
Author(s):  
Surahman Amin
Keyword(s):  
Discriminant Analysis ◽  
Financial Performance ◽  
Statistical Test ◽  
Research Use ◽  
Performance Difference ◽  
Operating Income ◽  
The Public ◽  
Management Ratio ◽  
Using Data ◽  
Multivariate Discriminant

This research is aimed to know difference of the financial performance of the conventional banking and the syariah banking. Financial is measured by using ratios: ratio of capital to asset deliberated by according to risk, ratio of earning asset which classified to earning asset (KAP. I), ratio of allowance for possible earning losses to classified earning asset ( KAP.II), ratio of net operating income to operating income (NPM) representing proxy from management, ratio of profit before interest and tax to total asset ( ROA), ratio of operating expenses to operating income (BOPO), ratio of current assets to current liabilities and ratio of loan to deposit (LDR). This research use the saturated simple, that all bank of state of the public ownerships (BUMN) and bank of the Muamalat Indonesia, by using data of the secondary publicized by the Bank Indonesia each of semester, between period 2003-2011. The analysis instruments used was Multivariate Discriminant Analysis (MDA). Results of this research indicate that the CAMEL approach can determine banking financial performance. Pursuant to statistical test really there was financial performance difference between conventional banking and syariah banking, where conventional banking has better finance performance from syariah banking. This research found that CAR dan LDR; significantly differentiate conventional banking finance performance and syariah banking, in which the CAR was the most dominant

Comparison of Examinees’ and Doctors’ Judgement of Health Status Using Data in an AMHTS

1984 ◽  
Vol 23 (01) ◽  
pp. 15-22
Author(s):  
Y. Sekita ◽  
T. Ohta ◽  
M. Inoue ◽  
H. Takeda
Keyword(s):  
Health Status ◽  
Discriminant Analysis ◽  
Explanatory Power ◽  
Laboratory Data ◽  
Subjective Symptom ◽  
Health Conditions ◽  
Testing System ◽  
Multiple Discriminant Analysis ◽  
Canonical Axis ◽  
Using Data

SummaryJudgements of examinees’ health status by doctors and by the examinees themselves are compared applying multiple discriminant analysis. The doctors’ judgements of the examinees’ health status are studied comparatively using laboratory data and the examinees’ subjective symptom data.This data was obtained in an Automated Multiphasic Health Testing System. We discuss the health conditions which are significant for the judgement of doctors about the examinees. The results show that the explanatory power, when using subjective symptom data, is fair in the case of the doctors’ judgement. We found common variables, such as nervousness, lack of perseverance etc., which form the first canonical axis.

Calculation of Predictive Odds for Possible Carriers of Haemophilia

1975 ◽  
Author(s):  
G. D. Forbes ◽  
A. D. McLaren ◽  
C. R. M. Prentice
Keyword(s):  
Biological Activity ◽  
Discriminant Analysis ◽  
Factor Viii ◽  
Factor Vii ◽  
Control Group ◽  
Posterior Odds ◽  
Linear Discriminant ◽  
Bayesian Calculation ◽  
Using Data ◽  
Betting Odds

The predictive odds for possible carriers of haemophilia have been calculated using data derived from normal and known carrier populations. For each individual the concentration of factor VII-related antigen (A) and factor VIII biological activity (B) was measured. The data has been studied by linear discriminant analysis linked to a Bayesian calculation of posterior odds using the predictive distributions of both the normal and obligatory carrier populations. The proportion of possible carriers assigned to the definite carrier group or control group is dependent on which betting odds are regarded as most suitable for counselling patients. For instance, if betting odds of 5 : 1 were given it was possible to assign 22 of 32 possible carriers (69 per cent) to control or carrier groups. Of this group of 22 possible carriers, 11 were thought to be normal and 11 were thought to be haemophilia carriers.

Relationships between risk factors and morphological patterns of human carotid atherosclerotic plaques. A multivariate discriminant analysis

1994 ◽  
Vol 108 (1) ◽  
pp. 39-60 ◽  
Author(s):  
Luigi Giusto Spagnoli ◽  
Alessandro Mauriello ◽  
Giampiero Palmieri ◽  
Giuseppe Santeusanio ◽  
Ada Amante ◽  
...  
Keyword(s):  
Risk Factors ◽  
Discriminant Analysis ◽  
Atherosclerotic Plaques ◽  
Multivariate Discriminant Analysis ◽  
Multivariate Discriminant ◽  
Human Carotid ◽  
Morphological Patterns

Direct classification of new psychoactive substances in seized blotter papers by ATR-FTIR and multivariate discriminant analysis

2017 ◽  
Vol 133 ◽  
pp. 96-103 ◽  
Author(s):  
Leandro S.A. Pereira ◽  
Fernanda L.C. Lisboa ◽  
José Coelho Neto ◽  
Frederico N. Valladão ◽  
Marcelo M. Sena
Keyword(s):  
Discriminant Analysis ◽  
New Psychoactive Substances ◽  
Psychoactive Substances ◽  
Multivariate Discriminant Analysis ◽  
Multivariate Discriminant

scholarly journals Cognitive Strategies and Physical Activity in Older Adults: A Discriminant Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Nathalie André ◽  
Claude Ferrand ◽  
Cédric Albinet ◽  
Michel Audiffren
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Discriminant Analysis ◽  
Cognitive Functions ◽  
Attentional Control ◽  
Cognitive Strategies ◽  
Predictor Variables ◽  
Stepwise Discriminant Analysis ◽  
Correct Prediction ◽  
Internal Memory

Background. Although a number of studies have examined sociodemographic, psychosocial, and environmental determinants of the level of physical activity (PA) for older people, little attention has been paid to the predictive power of cognitive strategies for independently living older adults. However, cognitive strategies have recently been considered to be critical in the management of day-to-day living. Methods. Data were collected from 243 men and women aged 55 years and older living in France using face-to-face interviews between 2011 and 2013. Results. A stepwise discriminant analysis selected five predictor variables (age, perceived health status, barriers’ self-efficacy, internal memory, and attentional control strategies) of the level of PA. The function showed that the rate of correct prediction was 73% for the level of PA. The calculated discriminant function based on the five predictor variables is useful for detecting individuals at high risk of lapses once engaged in regular PA. Conclusions. This study highlighted the need to consider cognitive functions as a determinant of the level of PA and, more specifically, those cognitive functions related to executive functions (internal memory and attentional control), to facilitate the maintenance of regular PA. These results are discussed in relation to successful aging.

A Conceptual Framework of RFID Adoption in Retail Using TOE Framework

2018 ◽  
pp. 69-102 ◽  
Author(s):  
Mithu Bhattacharya ◽  
Samuel Fosso Wamba
Keyword(s):  
Discriminant Analysis ◽  
Conceptual Framework ◽  
Value Chain ◽  
Relative Advantage ◽  
Competitive Pressure ◽  
Business Associations ◽  
Adoption Studies ◽  
Research Framework ◽  
Toe Framework ◽  
Multivariate Discriminant

Motivated by the need to understand the underlying antecedents of RFID adoption in retail, this study proposes and tests a framework predicting RFID adoption intent. Based on the TOE (technology-organization-environment) framework, this research develops and validates the research framework to examine the influence of twelve contextual factors under four broad categories (technological, organizational, environmental, and value-chain) on RFID adoption in retail. A structured study instrument is developed to measure these variables and data are collected from 74 experts spread across different business associations through Delphi technique. Multivariate discriminant analysis (MDA) is used to develop the conceptual framework for RFID adoption. The results indicate that relative advantage, competitive pressure, catalyst agent, and value chain complexity are significant determinants of RFID adoption in retail. It suggests that environmental characteristics are very important to be considered in RFID adoption studies along with technological and value chain characteristics.

scholarly journals The Asymmetric Drift of the Thick Disk Population

1995 ◽  
Vol 164 ◽  
pp. 384-384
Author(s):  
Devendra Ojha ◽  
Annie C. Robin ◽  
Olivier Bienaymé
Keyword(s):  
Discriminant Analysis ◽  
Thick Disk ◽  
Population Synthesis ◽  
Sample Surveys ◽  
Multivariate Discriminant Analysis ◽  
Multivariate Discriminant

We investigate the kinematics of the thick disk population using photometric and astrometric sample surveys towards two opposite directions at intermediate latitude. A multivariate discriminant analysis (MDA) is used to distinguish the ‘Thick Disk’ from other populations with the help of the Besançon model of population synthesis. The data constrain the asymmetric drift of the thick disk population, which is found to be 40±10 km/s and does not depend on the galactic radius.

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