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  4. Analyzing.Financial.Data.and.Implementing.Financial.Models.Using.R.3319

Analyzing.Financial.Data.and.Implementing.Financial.Models.Using.R.3319

上传者: 2018-12-15 19:41:07上传 PDF文件 39.77MB 热度 58次
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 i nformation 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. Table of Contents Chapter 1 Prices Chapter 2 Individual Security Returns Chapter 3 Portfolio Returns Chapter 4 Risk Chapter 5 Factor Models Chapter 6 Risk-Adjusted Portfolio Performance Measures Chapter 7 Markowitz Mean-Variance Optimization Chapter 8 Fixed Income Chapter 9 Options Appendix A Getting Started with R Appendix B Constructing a Hypothetical Portfolio
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码姐姐匿名网友 2018-12-15 19:41:07

very good book financial data analysis field.