Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis (Chapman & Hall/CRC The R Series) - Image 1

£195.00

CRC Press Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis (Chapman & Hall/CRC The R Series)

Name: Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis (Chapman & Hall/CRC The R Series)
Brand: CRC Press
Price: 195.0 GBP
Availability: InStock

Econometrics

This is the most expensive it has ever been. Walk away.

£195 today · previous high £195 · all-time low £180

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 23 days • 23 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 23 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £180 (22 days, 95.7%)

Price range: £180 - £195

Price levels: 2 different prices over 23 days

Description

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 Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138484229
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 20 September 2018
Listed Since: 20 June 2018

Barcode

No barcode data available

CRC Press Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis (Chapman & Hall/CRC The R Series)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis (Chapman & Hall/CRC The R Series)

Introduction to Statistical Methods for Financial Models (Chapman & Hall/CRC Texts in Statistical Science)

A Course on Statistics for Finance

Financial Signal Processing and Machine Learning (IEEE Press)

Lectures On The Theory And Application Of Modern Finance With R And Chatgpt: 10 (World Scientific Lecture Notes in Finance)

Investment Theory and Risk Management: 711 (Wiley Finance)

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

Machine Learning for Factor Investing: R Version (Chapman and Hall/CRC Financial Mathematics Series)

Tidy Finance with Python (Chapman & Hall/CRC The Python Series)

Investment Analysis: An Introduction to Portfolio Theory and Management

Quantitative Portfolio Optimisation, Asset Allocation and Risk Management: A Practical Guide to Implementing Quantitative Investment Theory (Finance and Capital Markets Series)

Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics)

Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics)

Introduction to Risk Parity and Budgeting (Chapman and Hall/CRC Financial Mathematics Series)

Introduction to Risk Parity and Budgeting (Chapman and Hall/CRC Financial Mathematics Series)

Quantitative Equity Portfolio Management: Modern Techniques and Applications (Chapman and Hall/CRC Financial Mathematics Series)

Machine Learning in Finance: From Theory to Practice

Essentials of Financial Economics: A Hands-On Approach (Springer Texts in Business and Economics)

Quantitative Equity Portfolio Management, Second Edition: An Active Approach to Portfolio Construction and Management

Quantitative Financial Analytics: The Path To Investment Profits

Machine Learning in Finance: From Theory to Practice

Statistical Analysis of Financial Data: With Examples In R (Chapman & Hall/CRC Texts in Statistical Science)

Quantitative Portfolio Optimization: Advanced Techniques and Applications (Wiley Finance)

2026 CFA Program Curriculum Level III Private Markets Pathway Box Set: Private Markets Pathway; Volume 1 Asset Allocation; Volume 2 Portfolio ... Volume 5 Ethical and Professional Standards