☰

Business & Money

Portfolio Management

Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return

R 1,100

or 4 x payments of R275.00 with Payflex

Payflex

Availability: Currently in Stock

Delivery: 10-20 working days

Condition: USED (All books are in used condition)

Condition - Very Good
The item shows wear from consistent use, but it remains in good condition and functions properly. Item may arrive with damaged packaging or be repackaged. It may be marked, have identifying markings on it, or have minor cosmetic damage. It may also be missing some parts/accessories or bundled items.

Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return

R is a free, open source programming language thatâ€™s become a popular standard for financial and economic analysis. Quantitative Investment Portfolio Analytics In R is your guide to getting started with modeling portfolio risk and return in R. Even if you have no experience with the software, youâ€™ll be fluent in R at a basic level after reading this short primer. The chapters provide step-by-step instructions for tapping into Râ€™s powerful capabilities for portfolio analytics.
Country USA
Brand CREATESPACE
Manufacturer CreateSpace Independent Publishing Platform
Binding Paperback
UnitCount 1
EANs 9781987583519
ReleaseDate 0000-00-00

You might also like...

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis (Chapman & Hall/CRC The R Series)

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis (Chapman & Hall/CRC The R Series)

Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics)

Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics)

Advances in Financial Machine Learning

Advances in Financial Machine Learning

Financial Analytics with R: Building a Laptop Laboratory for Data Science

Financial Analytics with R: Building a Laptop Laboratory for Data Science

Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant’s Perspective

Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant’s Perspective

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Machine Learning: An Applied Mathematics Introduction

Machine Learning: An Applied Mathematics Introduction

A Quantitative Primer on Investments with R

A Quantitative Primer on Investments with R

Dynamic Asset Allocation: Modern Portfolio Theory Updated for the Smart Investor

Dynamic Asset Allocation: Modern Portfolio Theory Updated for the Smart Investor