Free Ebook Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics), by Clifford Ang
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Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics), by Clifford Ang
Free Ebook Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics), by Clifford Ang
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This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis.
This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student.
Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis.
- Sales Rank: #561945 in Books
- Published on: 2015-04-07
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .81" w x 6.14" l, .0 pounds
- Binding: Hardcover
- 351 pages
From the Author
Options data used in the book and additional models can be found on my website (cliffordang.com).
From the Back Cover
This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis.
This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student.
Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis.
About the Author
Clifford S. Ang, CFA is a Vice President at Compass Lexecon in Chicago. He specializes in valuation, corporate finance, and damages, and has worked on hundreds of engagements involving companies across a broad spectrum of industries. Ang has held teaching appointments at DePaul University, the University of the Philippines, and Ateneo de Manila University, where he has taught courses in investments, investment management, corporate finance, and international finance. He is a CFA Charterholder and holds an MS in Finance from the University of the Philippines. Ang also holds a BSBA majoring in finance and accounting from Washington University in St. Louis, where he subsequently completed doctoral coursework in finance, economics, and econometrics. He also presented at the 2012 R in Finance Conference a method to estimate the market value of illiquid debt.
Most helpful customer reviews
3 of 3 people found the following review helpful.
One of the best books that are available on Financial Modeling Using R
By Pitabas Mohanty
One of the best books that are available on Financial Modeling Using R. I find it extremely practical and I would recommend this book for all the Finance guys who use R for data analysis. While reading the book, you will get a feeling that you are attending a workshop and an extremely talented trainer is training you. I wish I read this book before.
5 of 6 people found the following review helpful.
This should be the first book you buy on R
By Andrew
So you want to learn R quickly and easily?
But you are annoyed when an author writes: "I leave this exercise for the curious reader to wrestle with..."
And you are frustrated when a book only gives you solutions to the odd numbered problems.
You don't want to wrestle with anything, you just want all the answers, and you want it now. So go get this book.
The author wrote this book with a carebear attitude: he holds your hand every step of the way, explaining each line of code and showing the resulting output.
The author skips no steps; he assumes you know nothing about R, so by the time you finish the book, your classmates and coworkers assume you know everything.
2 of 2 people found the following review helpful.
This is a helpful practical book. In addition to ...
By Avisheh
This is a helpful practical book. In addition to teaching you the concept of financial modeling but it helps you implement it.
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