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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis Paperback -
by Jonathan K. Regenstein Jr
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- Title Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis
- Author Jonathan K. Regenstein Jr
- Binding Paperback
- Pages 248
- Volumes 1
- Language ENG
- Publisher CRC Press
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- ISBN 9781138484030 / 1138484032
- Weight 0.95 lbs (0.43 kg)
- Dimensions 9.2 x 6.1 x 0.5 in (23.37 x 15.49 x 1.27 cm)
- Library of Congress subjects Portfolio management - Computer programs
- Library of Congress Catalog Number 2018025226
- Dewey Decimal Code 332.602
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Paperback / softback. New. 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 and has a desire to learn R code and Shiny through simple, yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe…
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