期刊名称：Computational Methods in Social Sciences (CMSS)
印刷版ISSN：2344-1232
出版年度：2014
卷号：2
期号：1
页码：28-34
出版社："Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences
摘要：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.
关键词：quantmod; financial modeling; R; capital market; trading models
