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Reproducible Finance with R
Code Flows and Shiny Apps for Portfolio Analysis
Taschenbuch von Jr. Regenstein
Sprache: Englisch

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Beschreibung

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.

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.

Über den Autor

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.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2018
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 248
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781138484030
ISBN-10: 1138484032
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Regenstein, Jr.
Hersteller: Taylor & Francis Ltd
Maße: 233 x 157 x 15 mm
Von/Mit: Jr. Regenstein
Erscheinungsdatum: 08.10.2018
Gewicht: 0,434 kg
preigu-id: 121257154
Über den Autor

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.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2018
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 248
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781138484030
ISBN-10: 1138484032
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Regenstein, Jr.
Hersteller: Taylor & Francis Ltd
Maße: 233 x 157 x 15 mm
Von/Mit: Jr. Regenstein
Erscheinungsdatum: 08.10.2018
Gewicht: 0,434 kg
preigu-id: 121257154
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