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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

Table of Contents (20) Chapters

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 12. Capital Adequacy

As we learned in the previous chapter, banking is a specifically risky industry and the safety of the clients' money is a top priority. In order to ensure that banks meet this primary objective, the industry is under strict regulation. It has always been a very important task for supervisors to build rules to avoid the collapsing of banks and to protect clients' wealth. Capital adequacy or capital requirement is one of, if not, the most, important regulatory tool to serve this goal. Given the high leverage in the financial sector, banks and other financial institutions are not allowed to freely use all their assets. These firms need to hold enough capital to ensure safe operation and solvency even if things turn bad.

Different countries have different banking supervisory bodies (financial watchdog, central bank, and so on) and regulation standards. However, as the banking system became more and more globalized, a common worldwide standard became necessary. In...

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