Question
Asked 27 February 2017

R software for statistical computing : useful in finance ?

I'm looking for useful "packages" (and advices!) for financial research with R : descriptives stat, correlation matrix, normality test, linear reg...

Most recent answer

R is definitely a good software that worth learning and using. Many packages are available in R for finance and other areas. If you go for complex econometric modelling, then R is really useful as you can create your own model and execute it. If you do research which involves only intermediate level of modeling, then there might not be a big difference among softwares. Still R is good because it is industry standard and available for free. Eviews is another useful software. Most of the econometrics books use Eviews to explain the content. Books on financial econometrics also use Eviews to explain the content. Eviews is easy to use. But I strongly recommend R. The reason becomes obvious once we get familiar with R for econometric analysis in finance. AN INTRODUCTION TO ANALYSIS OF FINANCIAL DATA WITH R by Tsay, and Analysis of Financial time-series by Tsay are two books one must go through for learning R for finance.

All Answers (7)

Dimitar Trajanov
Ss. Cyril and Methodius University in Skopje
A list of R packages related to finance you can find here:
There are several books on this topic; I recommend this two books: 
  1. Bennett, Mark J., and Dirk L. Hugen. Financial Analytics with R. Cambridge University Press, 2016. http://www.cambridge.org/au/academic/subjects/statistics-probability/statistics-econometrics-finance-and-insurance/financial-analytics-r-building-laptop-laboratory-data-science?format=HB&isbn=9781107150751 
  2. Ang, Clifford. Analyzing financial data and implementing financial models using R. Springer, 2015. http://www.springer.com/us/book/9783319140742
Also, I recommend subscribing to DataScinceCentral http://www.datasciencecentral.com/ where you can find many useful tips and resources on Data Science.
Omar Ahmed Mohamed
Deakin University
I would  recommend you use Minitab, Statgraphics XVII and Statistica. These softwares are much better than R
Khalid Hassan
University of Diyala
Dear Jérémy
Please, use the following link, I hope will be useful for you.
and:
Good Luck
Gonzalo Mendieta
Universidad de Las Américas
R is very powerful and has some packages design for finance. R does take some time to learn, but it is worth the trouble.
Jérémy Morvan
Université de Bretagne Occidentale
Thanks ! It is helpful. I appreciate your answer
Jérémy Morvan
Université de Bretagne Occidentale
I tried several functions : I had to grope a bit... After trial and error, it seems very powerful
R is definitely a good software that worth learning and using. Many packages are available in R for finance and other areas. If you go for complex econometric modelling, then R is really useful as you can create your own model and execute it. If you do research which involves only intermediate level of modeling, then there might not be a big difference among softwares. Still R is good because it is industry standard and available for free. Eviews is another useful software. Most of the econometrics books use Eviews to explain the content. Books on financial econometrics also use Eviews to explain the content. Eviews is easy to use. But I strongly recommend R. The reason becomes obvious once we get familiar with R for econometric analysis in finance. AN INTRODUCTION TO ANALYSIS OF FINANCIAL DATA WITH R by Tsay, and Analysis of Financial time-series by Tsay are two books one must go through for learning R for finance.

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Im my quasi-experimental study, I've conducted a Likert-scale survey which investigates attitudes towards statements about a certain teaching method, and an achievement test following the implementation of the method. Both survey and achievement test include a pre and post-test.Two groups are investigated, but one is given an experimental treatment
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