R for programmers : quantitative investment applications

By:

Zhang, Dan

Material type: Text

9781498736893

Subject(s):

Additional physical formats: Online version:: R for programmers.DDC classification:

332.6 ZHA-R

LOC classification:

HG4529 .Z48 2018

Contents:

1 Introduction 2 Introduction to R 3 Databases in R 4 Visualization 5 Data Analysis with R R Packages and Funtions.

Summary: 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--

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode	Item holds
Books	IIITD Reference	Economics	REF 332.6 ZHA-R (Browse shelf(Opens below))	Loan on demand	Gifted by IIITD-IIC		G02596

Total holds: 0

Browsing IIITD shelves, Shelving location: Reference, Collection: Economics Close shelf browser (Hides shelf browser)

Previous								Next
Previous	REF 332.6 BOD-E Essentials of investments	REF 332.6 BOD-I Investments	REF 332.6 JON-I Investments :	REF 332.6 ZHA-R R for programmers : quantitative investment applications	REF 332.63 EDW-T Technical analysis of stock trends	REF 332.645 TAL-D Dynamic hedging :	REF 332.6452 MAL-W The world scientific handbook of futures markets	Next

Includes bibliographical references and index.

1 Introduction 2 Introduction to R 3 Databases in R 4 Visualization 5 Data Analysis with R R Packages and Funtions.

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--

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