The GARPFRM package provides a framework to implement the topics and ideas presented in 'Financial Risk Manager (FRM) Part 1: Quantitative Analysis' (2012) and 'Financial Risk Manager (FRM) Part 1: Foundations of Risk Management' (2012).
The purpose of the package is to implement the concepts and methods presented in the Global Association of Risk Professionals (GARP) Financial Risk Manager (FRM) Part I series of books. Developing the GARPFRM package is a collaborative project between the University of Washington Computational Finance & Risk Management Program and the Global Association of Risk Professionals to develop R packages that facilitate the learning of risk management concepts. The GARPFRM package provides a framework to implement the topics presented in the Financial Risk Manager (FRM) Part 1 books. The user should be able to follow along in the books and using the GARPFRM package and supporting packages.
An outgrowth of running the UW AMATH MS-Degree Program in Computational Finance and Risk Management
GARP FRM program involves no computation component
<-- this is the key idea here and we should go into greater detail -->
Other trends in progamming are modelling and big data. Here, MATLAB and R appear to be the market leaders. There is a realistic chance that they will enter the top 10 in 2015.
The CRAN package repository has 6258 packages as of 2015-02-01
http://cran.r-project.org/web/packages/
Rapidly increasing use of open source R in finance industry
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