A Discussion of Time Series Objects for R in Finance

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A Discussion of Time Series Objects for R in Finance



Diethelm Würtz, Yohan Chalabi, Andrew Ellis
Rmetrics eBooks 2009
Rmetrics Association & Finance Online Publishing, Zurich
ISBN: 978-3-906041-00-1


About the Book:

Are you working with R and Rmetrics in the field of finance? Then you will usually use either xts/zoo or timeSeries/timeDate as your preferred time series package of functions and methods to create and manage financial time series objects. Often you may have asked yourself how certain functions in one time series package compare to their counterparts in the other package. Does a given function from one package have an equivalent one in the other packages and if yes, what are the specific differences. In which sense do functions behave differently when you work with the xts/zoo package or with the timeSeries/timeDate package. This ebook tries to answer any questions you might have about these issues. For each question you will find an answer together with a generic example. In some cases, the answers are still incomplete, or even missing. In other cases, we not yet found a typical example. We are counting on your support to keep this FAQ up-to-date. We would also very much appreciate it if users and developers of the packages under discussion would send us further FAQs together with the answer, for inclusion in this ebook.

About the Authors:

Diethelm Würtz is Professor at the “Swiss Federal Institute of Technology”
(ETH) in Zurich. Diethelm is teaching regular ETH lectures and seminars in Computational Finance and Financial Engineering. He is involved in the organization of the “Rmetrics Summer Schools” and in several international workshops, courses and meetings in Europe and Asia. He is President of the Open Source “Rmetrics Association”, Senior Partner of “Finance Online GmbH” and Co-Founder of “Sidenis AG” in Zurich.

Andrew Ellis read neuroscience and mathematics at the University in Zurich. He did a Student Internship in the Econophysics group at ETH Zurich at the Institute for Theoretical Physics. Andrew is worked on the Rmetrics documentation project and co-authored this ebook on portfolio optimization with Rmetrics.

Yohan Chalabi has a master in Physics from the Swiss Federal Institute of Technology in Lausanne. He made his Doctorat Degree in the Econophysics group at ETH Zurich at the Institute for Theoretical Physics. Yohan is a co-author of the Rmetrics packages.

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The non-profit Rmetrics Association supports the open source Rmetrics Software and Rmetrics eBook Project in the public interest. The project has expenses and it is hoped that businesses that use it and make money through it will contribute back to help make Rmetrics the best open source environment in computational finance and financial engineering.