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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 FREE CHAPTER

2. Factor Models

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

References

Bessis, Joel (2011): Risk management in banking, John Wiley & Sons.
Choudhry, Moorad (2011): Bank asset and liability management: strategy, trading, analysis, John Wiley & Sons.
Matz, Leonard and Neu, Peter (2006): Liquidity risk measurement and management: A practitioner's guide to global best practices, John Wiley & Sons.

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