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R-evolution in Time Series Analysis Software Applied on R-omanian Capital Market

Ciprian Alexandru, Nicoleta Caragea () and Ana - Maria Dobre ()
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Ana - Maria Dobre: National Institute of Statistics Bucharest, Bucuresti 050706 Romania

Authors registered in the RePEc Author Service: Ana Maria Dobre ()

Computational Methods in Social Sciences (CMSS), 2014, vol. 2, issue 1, 28-34

Abstract: Worldwide and during the last decade, R has developed in a balanced way and nowadays it represents the most powerful tool for computational statistics, data science and visualization. Millions of data scientists use R to face their most challenging problems in topics ranging from economics to engineering and genetics. In this study, R was used to compute data on stock market prices in order to build trading models and to estimate the evolution of the quantitative financial market. These models were already applied on the international capital markets. In Romania, the quantitative modeling of capital market is available only for clients of trading brokers because the time series data are collected for the commercial purpose; in that circumstance, the statistical computing tools meet the inertia to change. This paper aims to expose a small part of the capability of R to use mix-and-match models and cutting-edge methods in statistics and quantitative modeling in order to build an alternative way to analyze capital market in Romania over the commercial threshold.

Keywords: quantmod; financial modeling; R; capital market; trading models (search for similar items in EconPapers)
Date: 2014-06
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Persistent link: http://EconPapers.repec.org/RePEc:ntu:ntcmss:vol2-iss1-14-028

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Computational Methods in Social Sciences (CMSS) is currently edited by Bogdan Oancea

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