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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis
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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis Paperback -

by Jonathan K. Regenstein Jr

Details

  • 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

About the author

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.

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Reproducible Finance with R (Chapman & Hall/CRC The R Series)
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Reproducible Finance with R (Chapman & Hall/CRC The R Series)

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Reproducible Finance with R (Chapman & Hall/CRC The R Series)
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Reproducible Finance with R (Chapman & Hall/CRC The R Series)

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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis
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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

by Jonathan K. Regenstein, Jr.

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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… Read More
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Reproducible Finance with R (Chapman & Hall/CRC The R Series)
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Reproducible Finance with R (Chapman & Hall/CRC The R Series)

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Reproducible Finance with R

Reproducible Finance with R

by Regenstein, Jr., Jonathan K.

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Reproducible Finance With R: Code Flows and Shiny Apps for Portfolio Analysis
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Reproducible Finance With R: Code Flows and Shiny Apps for Portfolio Analysis

by Regenstein, Jonathan K., Jr.

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Reproducible Finance with R (Chapman & Hall/CRC The R Series)
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Reproducible Finance with R (Chapman & Hall/CRC The R Series)

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Reproducible Finance with R (Chapman & Hall/CRC The R Series)
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Reproducible Finance with R (Chapman & Hall/CRC The R Series)

by Regenstein, Jonathan K

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Reproducible Finance With R : Code Flows And Shiny Apps For Portfolio Analysis, 1St Edition
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Reproducible Finance with R (Chapman & Hall/CRC The R Series)
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Reproducible Finance with R (Chapman & Hall/CRC The R Series)

by Regenstein, Jonathan K

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