
Reproducible Finance with R
code flows and shiny apps for portfolio analysis
$555.28
- Hardcover
248 pages
- Release Date
20 September 2018
Summary
Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance an…
Book Details
| ISBN-13: | 9781138484221 |
|---|---|
| ISBN-10: | 1138484229 |
| Author: | Jonathan K. Regenstein, Jr. |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Hardcover |
| Number of Pages: | 248 |
| Release Date: | 20 September 2018 |
| Weight: | 530g |
| Dimensions: | 234mm x 156mm |
| Series: | Chapman & Hall/CRC The R Series |
You Can Find This Book In
What They're Saying
Critics Review
“There are two major selling points from my perspective. First, Shiny web applications are a new technology that is in high demand. It enables users to communicate data science (including financial analytics) to managers and executives. I believe this alone is a big benefit that separates this book from others. The second is that (he) takes a modern approach to using three different frameworks: xts, tidyverse, and tidyquant/tibbletime. This is refreshing because it shows that there are multiple ways to accomplish the same tasks, and it exposes the user to options that they otherwise might not have considered. Because of these two aspects, I believe that the market is for financial analysts that are seeking to learn these tools. The typical reader will have some knowledge of R (not a complete beginner) and will be hungry to use Shiny in their organization…I enjoyed reading it. I found the prose approachable and not overly technical or formal.” ~Matt Dancho, Founder, Business Science, LLC
“There are two major selling points from my perspective. First, Shiny web applications are a new technology that is in high demand. It enables users to communicate data science (including financial analytics) to managers and executives. I believe this alone is a big benefit that separates this book from others. The second is that (he) takes a modern approach to using three different frameworks: xts, tidyverse, and tidyquant/tibbletime. This is refreshing because it shows that there are multiple ways to accomplish the same tasks, and it exposes the user to options that they otherwise might not have considered. Because of these two aspects, I believe that the market is for financial analysts that are seeking to learn these tools. The typical reader will have some knowledge of R (not a complete beginner) and will be hungry to use Shiny in their organization…I enjoyed reading it. I found the prose approachable and not overly technical or formal.” ~Matt Dancho, Founder, Business Science, LLC
About The Author
Jonathan K. Regenstein, Jr.
Jonathan K. Regenstein, Jr. is the Director of Financial Services at RStudio. He studied international relations at Harvard and law at NYU, worked at JP Morgan, and did graduate work in political economy at Emory.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.




