Title:  	 RQuantLib - Bridging R and QuantLib
Student: 	Khanh Nguyen
Abstract: 	Since statistical computing plays a major role in all financial modeling and risk-management tasks, it is highly desirable to combine the features and power of R and QuantLib. This project aims to provide a major extension to the existing RQuantLib package, includes expanding instruments coverage and integrating R's graphical engine for better visualization of modeling.
Content: 	

R Foundation for Statistical Computing

Application for the Google Summer of Code 2009 project

Applicant: Khanh Nguyen
Email: nguyen.h.khanh@gmail.com
Phone: 717-357-0219
Project Name: RQuantLib - Bridging R and QuantLib

Synopsis
Since QuantLib is a complex and large library that spans over many aspects of finance, I will focus mostly on areas that I have knowledge of. In particular, my priority is:

   1. to provide a substantial coverage for fixed income instruments and possibly credit or swap if time permitted. 
   2. investigate an effective way to take advantage of R's graphical capability in visualizing modeling results.

Benefits for community and myself

   1. increase the functionalities and scope of RQuantLib
   2. provides an easy pathway for users of R who are interested in financial modeling but lack the skills to make use of QuantLib. 
   3. by adding visualization, users will have a better, more comprehensive grasp of their model. 
   4. I'll have an opportunity to solidify what I know, acquire new knowledge and skills in both quantitative finance and coding financial algorithms. I consider this a fantastic opportunity to prepare myself for a career in finance. 

Project Description

The project will be built on the current RQuantLib. The structure is well defined by R package building standard. I've successfully tried to add a new function into RQuantLib to calculate a value of an Asian option using geometric averaging. It is currently in revision 58 in the repository.