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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

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781783552078
Length 362 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (15) Chapters Close

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

Summary


In this chapter, we demonstrated how R can support the process of asset and liability management in a commercial bank. There is a wide range of tasks from data preparation to reporting, where the R programming language can help or solve repeating problems. However, we only gave a brief introduction about how to solve problems of interest rate and liquidity measurement. We also provided some examples about the statistical estimation of the interest rate sensitivity of non-maturity deposits. You can find practical knowledge about the following:

  • Generating cash-flow from bank portfolios and market data

  • Measuring and reporting tools for basic interest rate risk management

  • Measuring and reporting tools for basic liquidity risk management

  • Modeling the behavior of non-maturity deposits

We think that this chapter is an organic part of the bank management topics in this book. Asset and liability management brings a particular problem set of the bank management, and R, as an open-source language...

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