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Mastering R for Quantitative Finance

You're reading from Mastering R for Quantitative Finance Use R to optimize your trading strategy and build up your own risk management system

Product type Paperback

Published in Mar 2015

Publisher

ISBN-13 9781783552078

Length 362 pages

Edition 1st Edition

Languages

R

Tools

RStudio

Concepts

Data Analysis

Table of Contents (15) Chapters

Preface

1. Time Series Analysis

2. Factor Models FREE CHAPTER

3. Forecasting Volume

4. Big Data – Advanced Analytics

5. FX Derivatives

6. Interest Rate Derivatives and Models

7. Exotic Options

8. Optimal Hedging

9. Fundamental Analysis

10. Technical Analysis, Neural Networks, and Logoptimal Portfolios

11. Asset and Liability Management

12. Capital Adequacy

13. Systemic Risks

Index

Preface

Mastering R for Quantitative Finance is a sequel of our previous volume titled Introduction to R for Quantitative Finance, and it is intended for those willing to learn to use R's capabilities for building models in Quantitative Finance at a more advanced level. In this book, we will cover new topics in empirical finance (chapters 1-4), financial engineering (chapters 5-7), optimization of trading strategies (chapters 8-10), and bank management (chapters 11-13).

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