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STATISTICAL ANALYSIS OF MULTIDIMENSIONAL DATA IN FINANCIAL ANALYSIS

I. Petruska, S. Jencova, V. A. Taha, E. Litavcova

First published: 2018https://doi.org/10.5593/sgemsocial2018/1.3/S03.038View metrics

Abstract

One of the aims of each financial analyst is to make a statistical analysis of multidimensional data in a financial analysis. The aim of all methods of multi-criteria evaluation is transforming and synthesizing values of various parameters into one - integral indicator, comprehensively expressing the level of individual enterprises in the set of values examined. The purpose of each multidimensional analysis is to process the data in order to clearly indicate the model and thus reveal the hidden phenomenon. The aim of the paper is to analyze multidimensional statistical methods in non-financial corporations. Within the multidimensional statistical methods, the paper is focused on the Principal Component Analysis (PCA) and Factor Analysis (FA) application. The research sample consists of 138 non-financial corporations in the industry according SK NACE. Evaluation indicators, which are the financial ratio metrics of individual non-financial corporations were designed based on the absolute status indicators that were obtained from the Registry of Financial Statements of the Slovak Republic. The result of the analysis is the comparison of non-financial corporations in the market space.

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Title
STATISTICAL ANALYSIS OF MULTIDIMENSIONAL DATA IN FINANCIAL ANALYSIS
Authors
I. Petruska, S. Jencova, V. A. Taha, E. Litavcova
Proceedings
5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Publisher
STEF92 Technology
Year
2018
Pages
317-324
SWS Citekey
Petruska20183317324
ISSN
2367-5659
ISBN
978-619-7408-63-8
Language
en
Publication type
Proceedings Paper
Keywords
Principal Components AnalysisFactor AnalysisFinancial Analysis
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