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Mastering R for Quantitative Finance

You're reading from  Mastering R for Quantitative Finance

Product type Book
Published in Mar 2015
Publisher
ISBN-13 9781783552078
Pages 362 pages
Edition 1st Edition
Languages
Toc

Table of Contents (20) Chapters close

Mastering R for Quantitative Finance
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Time Series Analysis 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

Chapter 11. Asset and Liability Management

This chapter introduces the usage of R for commercial bank asset and liability management (ALM) purposes. The ALM function in a bank is traditionally associated with interest rate risk and liquidity risk management of banking book positions. Both of the interest rate positioning and liquidity risk management require the modeling of banking products. Nowadays, professional ALM units use complex Enterprise Risk Management (ERM) frameworks, which are able to incorporate the management of all risk types and provide an adequate tool for ALM to steer the balance sheet. Our general objective is to set up a simplified framework of ALM to illustrate the use of R for certain ALM tasks. These tasks are based on the interest rate and liquidity risk management and the modeling of non-maturing accounts.

This chapter is structured as follows. We start with the data-preparation process of ALM analysis. The process of planning and measurement needs special information...

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