Overview
- Teaches students how to use R to analyze financial data and implement financial models from start (e.g., obtaining data) to finish (e.g., generating output expected for a particular analysis) using real-world data
- Guides students step-by-step through the modeling process and reports intermediate output
- Exposes students to the notion of data checking and the issues that arise when using real-world data?
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Texts in Business and Economics (STBE)
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About this book
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.
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Bibliographic Information
Book Title: Analyzing Financial Data and Implementing Financial Models Using R
Authors: Clifford S. Ang
Series Title: Springer Texts in Business and Economics
DOI: https://doi.org/10.1007/978-3-319-14075-9
Publisher: Springer Cham
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-35731-7Published: 06 October 2016
eBook ISBN: 978-3-319-14075-9Published: 06 April 2015
Series ISSN: 2192-4333
Series E-ISSN: 2192-4341
Edition Number: 1
Number of Pages: XVI, 351
Number of Illustrations: 60 b/w illustrations
Topics: Finance, general, Econometrics, Macroeconomics/Monetary Economics//Financial Economics, Statistics and Computing/Statistics Programs