Contemporary Data Science for Finance Students Evidence from the Global Steelmaking Leader

Mădălina Manu ()

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ECONOMICS AND SOCIAL SCIENCES, 2018, vol. 1, issue 1, 157-163

Abstract: This paper is a comparative study of currently used software instruments for modeling as this area is under constant development. This study inventories features of the software tools for modeling currently used by researchers or students in Finance, such as R language/ RStudio in order to fill the gap in the Romanian literature and help Finance students in choosing the software tools for their research. In order to understand the program features and define a model for the enterprise value, I have considered the data available on the enterprise value and share price of a leading steel producer, ArcelorMittal from the year 2007 – present. Enterprise value is central in business transactions such as mergers and acquisitions or privatizations; it is usually referred to as a theoretical takeover price. Based on the author’s previous research on the factors of an econometric model for the enterprise value, in this paper is presented the analysis of the time series of the enterprise value (EV) of ArcelorMittal. This comparative study aims at bringing a fresh, useful perspective in the financial literature and will be continued. Based on the author’s previous research on the factors of an econometric model for the enterprise value, this paper shows the steps to be followed before the modelling stage, i.e. importing the data, cleaning it, data visualization and transformation, then model.

Keywords: data science; R; RStudio; Matlab; programming language (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:rom:conase:v:1:y:2018:i:1:p:157-163

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