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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
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Author (1):
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 Gabler Gabler
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Gabler
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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 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

Chapter 13. Systemic Risks

One of the main lessons of the current crisis is that some institutions bear an outstanding risk for the financial system due to their size or special role. During a crisis, these institutions usually get state aid to prevent the whole system from collapsing, which would mean higher costs for the state and the real economy as well. One of the best examples is the AIG. Due to its activity on the CDS market, the Federal Reserve helped the insurer company to avoid defaulting since nobody knew the possible effects of the collapse of the institution.

These lessons motivated central banks and other regulators to put more emphasis on the examination and the regulation of systemically important financial institutions (SIFI). To do this, sophisticated identification of SIFIs is getting more and more important in financial literature. Expanding the former simple techniques, central banks and supervisory authorities tend to use more complicated methodologies based on network...

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