Econometrics: bibliography - page 19

 
faa1947:

The link reads.

The book is on point.

I have about 20 of these books... if I can find them or links I will try to put them all up....
 
Aleksander:
I have about 20 of these books... if I can find them or links I will try to put them all up....
Very interesting. The thread will fill up on the case.
 

Another link.

Article " Popularity of data analysis software". The review includesBMDP,JMP,Minitab,R,R-PLUS,Revolution R Enterprise,S-PLUS,SAS,SPSS,Stata,Statistica, andSystat, including two implementations of SASCarolina andthe World Programming System (WPS)

In brief. SAS, SPSS and R are the most popular. And R is progressing fast enough and has overtaken these packages in some respects. Remind that R is free, unlike other packages.

Here is one of the pictures:

The analysis is large and the ratio is not everywhere. Nevertheless, the tipping point in favour of R came around 2009.

PS. Matlab, Mathematics and Matcad are not considered at all, as they are not specialised packages.

 
faa1947:

Another link.

...

PS. Matlab, Mathematics and Matcad are not considered at all, as they are not specialised packages.


It seems that R is also declared by its creators not as a specialized statistical program, but as a universal language of calculations. By the way, the similarity between R and MathLab is impressive. Not to mention, some bibles from MathLab even convert to R.

Unfortunately, the article doesn't say anything about Microsoft F#. It seems that F# was created for similar tasks but so far it is an empty language. It would be interesting to read about its development perspectives and what the public thinks about it.

 
C-4:


It seems that R is also claimed by its creators not as a specialised statistical programme, but as a universal language of calculations. By the way, the similarity between R and MathLab is impressive. Not to mention, some bibles from MathLab even convert to R.

Unfortunately, the article doesn't say anything about Microsoft F#. It seems that F# was created for similar tasks but so far it is an empty language. It would be interesting to read about its development perspectives and what the public thinks about it.

R is an interpreter and for this reason I had a low opinion about the code efficiency.
And here I've started to master one package. To implement its algorithms I need matrix operations and optimization. Well, I thought that I wouldn't wait for the results. And then I read that for matrix operations the Fortran library is used and for the optimization - the C library, as these libraries are considered the most effective in these areas. So much for the interpreter....
 
EconModel:
So much for the interpreter....


And also there's JIT, C++ code is integrated directly into R code with a couple of lines and a couple more lines to parallelize everything for as many cores as you need on different machines. Anyway, while somebody is doing the same thing in C++, R users are already looking at the results :)

 

Here is the translation of the post on the application of R

HowAmerican Century revamped their investment platform with R

American Century Investments is a top 20 investment fund management company with more than $125 billion in assets under management. The quantitative investment group manages 22 funds, and takes an objective, systematic and disciplined approach to determining stock purchases and sales. Real-time trading and carefully calibrated statistical models are the backbone of this quantitative approach.


This group previously had a mixture of closed-ended third-party financial software systems, which were found to be expensive, cumbersome and functionally limited. By switching to a core solution, Revolution R Enterprise, the quantitative investment group created a scalable, comprehensive system based around R. A large number of teams now use and contribute to the internal R package "rACI" as a way to collaborate and distribute the latest methodology from research to production. With access to the innovations of the open source R community, a research team can go from idea to investment very quickly. (And as a reward, code that previously ran on open source R executes 20x faster in Revolution R Enterprise, which optimizes R.)

Files:
 

Quite a manageable table of contents under the R documentation

General

By time series

Time series forecasting

Econometrics

Success!

 

There is a website for R that asks all sorts of questions. ran a search for "MT4" and got 88 results. They know about us!