Contemporary Data Science for Finance Students: A Comparative Study of Essential Features of Commonly Used Statistical Software

Madalina Viorica Manu and Vasile Ilie ()
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Madalina Viorica Manu: Bucharest University of Economic Studies, Romania

International Journal of Innovation and Economic Development, 2020, vol. 6, issue 2, 19-24

Abstract: In this paper we compare some of the essential traits of the software preferred by researchers, students and professors, such as R or RStudio, or Matlab. In order to fill the gap in the Romanian literature and help finance students in choosing proper tools according to the research purpose, this comparative study aims at bringing a fresh, useful perspective in the relevant literature. In Romania, the use of R was the focus of several international conferences on official statistics held in Bucharest, and others having business excellence, innovation and sustainability as purpose, while Eviews is recommended and taught by the Romanian professors. In this time, at global scale, R programming language is considered the lingua franca of data science, as common statistical software used both in corporations and academia. In this paper, I analyze basic features of such software, with the purpose of application in finance.

Keywords: Poftware; Programming language; R; RStudio; Statistics (search for similar items in EconPapers)
JEL-codes: M00 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:mgs:ijoied:v:6:y:2020:i:2:p:19-24

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