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STATISTICAL ANALYSIS OF MULTIDIMENSIONAL DATA IN FINANCIAL ANALYSIS
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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