R for programmers : Quantitative investment applications / Dan Zhang.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 9781498736893 (pbk. : acidfree paper)
- QA 276.45.R3 .Z61 2018
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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DLSU-D GRADUATE STUDIES Graduate Studies | Graduate Studies | QA 276.45.R3 .Z61 2018 (Browse shelf(Opens below)) | Available | 3CIR2018066753 |
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QA 276 .Ot8 2016 An introduction to statistical methods & data analysis / | QA 276.12 .N229 2018 Essential statistics / | QA 276.14 .J329 2016 Statistics from A to Z : | QA 276.45.R3 .Z61 2018 R for programmers : | QA 278 .Af42 2012 Practical multivariate analysis / | QA 278 .K586 2015 Cluster analysis and data mining : | QA 278 .P289 2015 Modelling and analysis of compositional data / |
"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
Includes bibliographical references and index.
After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area. Quantitative investment has been hot for some years, and there are more and more startups working on it, combined with many other internet communities and business models. R is widely used in this area, and can be a very powerful tool. The author introduces R applications with cases from his own startup, covering topics like portfolio optimization and risk management-- Provided by publisher.
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