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Mastering R for Quantitative Finance

Mastering R for Quantitative Finance

By : Gabler
4 (11)
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Mastering R for Quantitative Finance

Mastering R for Quantitative Finance

4 (11)
By: Gabler

Overview of this book

This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.
Table of Contents (15 chapters)
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14
Index

Getting data from open sources


Extraction of financial time series or cross-sectional data from open sources is one of the challenges of any academic analysis. While several years ago, the accessibility of public data for financial analysis was very limited, in recent years, more and more open access databases are available, providing huge opportunities for quantitative analysts in any field.

In this section, we will present the Quandl and quantmod packages, two specific tools that can be used to seamlessly access and load financial data in the R environment. We will lead you through two examples to showcase how these tools can help financial analysts to integrate data directly from sources without any prior data management.

Quandl is an open source website for financial time series, indexing over millions of financial, economic, and social datasets from 500 sources. The Quandl package interacts directly with the Quandl API to offer data in a number of formats usable in R. Besides downloading...

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