TECHNIQUES OF DATA ANALYSIS. AN APPROACH TO BUSINESS STATISTICS AND ECONOMETRICS
TECHNIQUES OF DATA ANALYSIS. AN APPROACH TO BUSINESS STATISTICS AND ECONOMETRICS
Author(s): Andreea DUMITRACHE, Alexandra NASTUSubject(s): Social Sciences, Economy, Business Economy / Management, Micro-Economics, Accounting - Business Administration
Published by: Fundatia Română pentru Inteligenta Afacerii
Keywords: Statistics; Time series; Stationarity; Normality; Linearity test; Data Science;
Summary/Abstract: Data can be analysed by using a wide range of techniques. The present article focuses on the use of the basic approaches to statistics and econometrics (descriptive analysis, distribution analysis, logistic regression and tests for model validation) in order to establish a correlation between the individual returns of the securities and a macroeconomic factor. The novelty of the paper consists in designing well-defined steps according to objective criteria of the financial market when evaluating financial assets. Thus, a unifactorial model consisting of several data science techniques is used, which assumes that the profitability of any financial title is in a linear relationship with a macroeconomic variable.The study is based on Apple and market portfolio data series and the results show that there is a strong positive dependence between them.
Journal: Network Intelligence Studies
- Issue Year: VII/2019
- Issue No: 13
- Page Range: 61-70
- Page Count: 10
- Language: English
