Regenstein, Jr., Jonathan K.

Reproducible Finance with R

Code Flows and Shiny Apps for Portfolio Analysis

• Broschiertes Buch

Produktbeschreibung

The intended audience is leaders at financial institutions who want to build data science practices, analysts at financial institutions who want to work on data science teams, students/aspiring professionals who want work in finance and anyone who has foreseen that Excel skills are not enough to be competitive in finance.

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Produktdetails

• Chapman & Hall/CRC The R Series
• Verlag: Taylor & Francis Ltd
• Seitenzahl: 248
• Erscheinungstermin: 8. Oktober 2018
• Englisch
• Abmessung: 233mm x 157mm x 15mm
• Gewicht: 422g
• ISBN-13: 9781138484030
• ISBN-10: 1138484032
• Artikelnr.: 54440300

Autorenporträt

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.

Inhaltsangabe

Chapter 1
Introduction
Returns
Chapter 2
Asset Prices to Returns
Converting Daily Prices to Monthly Returns in the xts world
Converting Daily Prices to Monthly Returns in the tidyverse
Converting Daily Prices to Monthly Returns in the tidyquant world
Converting Daily Prices to Monthly Returns with tibbletime
Visualizing Asset Returns in the xts world
Visualizing Asset Returns in the tidyverse
Chapter 3
Building a Portfolio
Portfolio Returns in the xts world
Portfolio Returns in the tidyverse
Portfolio Returns in the tidyquant world
Visualizing Portfolio Returns in the xts world
Visualizing Portfolio Returns in the tidyverse
Shiny App Portfolio Returns
Concluding Returns
Risk
Chapter 4
Standard Deviation
Standard Deviation in the xts world
Standard Devation in the tidyverse
Standard Deviation in the tidyquant world
Visualizing Standard Deviation
Rolling Standard Deviation
Rolling Standard Deviation in the xts world
Rolling Standard Deviation in the tidyverse
Rolling Standard Devation with the tidyverse and tibbletime
Rolling Standard Deviation in the tidyquant world
Visualizing Rolling Standard Deviation in the xts world
Visualizing Rolling Standard Deviation in the tidyverse
Shiny App Standard Deviation
Chapter 5
Skewness
Skewness in the xts world
Skewness in the tidyverse
Visualizing Skewness
Rolling Skewness in the xts world
Rolling Skewness in the tidyverse with tibbletime
Rolling Skewness in the tidyquant world
Visualizing Rolling Skewness
Chapter 6
Kurtosis
Kurtosis in the xts world
Kurtosis in the tidyverse
Visualizing Kurtosis
Rolling Kurtosis in the xts world
Rolling Kurtosis in the tidyverse with tibbletime
Rolling Kurtosis in the tidyquant world
Visualizing Rolling Kurtosis
Shiny App Skewness and Kurtosis
Concluding Risk
Portfolio Theory
Chapter 7
Sharpe Ratio
Sharpe Ratio in the xts world
Sharpe Ratio in the tidyverse
Shape Ratio in the tidyquant world
Visualizing Sharpe Ratio
Rolling Sharpe Ratio in the xts World
Rolling Sharpe Ratio with the tidyverse and tibbletime
Rolling Sharpe Ratio with tidyquant
Visualizing the Rolling Sharpe Ratio
Shiny App Sharpe Ratio
Chapter 8
CAPM
CAPM and Market Returns
Calculating CAPM Beta
Calculating CAPM Beta in the xts world
Contents v
Calculating CAPM Beta in the tidyverse
Calculating CAPM Beta in the tidyquant world
Visualizing CAPM with ggplot
Augmenting Our Data
Visualizing CAPM with highcharter
Shiny App CAPM
Chapter 9
Fama French
Importing and Wrangling Fama French
Visualizing Fama French with ggplot
Rolling Fama French with the tidyverse and tibbletime
Visualizing Rolling Fama French
Shiny App Fama French
Concluding Portfolio Theory
Practice and Applications
Chapter 10
Component Contribution to Standard Deviation
Component Contribution Step-by-Step
Component Contribution with a Custom Function
Visualizing Component Contribution
Rolling Component Contribution to Volatility
Visualizing Rolling Component Contribution to Volatility
Shiny App Component Contribution
Chapter 11
Monte Carlo Simulation
Simulating Growth of a Dollar
Several Simulation Functions
Running Multiple Simulations
Visualizing Simulation Results
Visualizing with highcharter
Shiny App Monte Carlo
Concluding Practice Applications