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Can I read Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics) on EtoBox?

Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics) by Clifford S. Ang (auth.) is a nonfiction available to read on EtoBox.

What is Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics) about?

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

Who reads Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Clifford S. Ang (auth.)
Publisher
Springer International Publishing : Imprint : Springer
Published
2015
Language
EN
ISBN
9783319140742
Category
nonfiction
Subjects
Economics, Computer Science, Finance

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