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Learning Quantitative Finance with R

You're reading from   Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781786462411
Length 284 pages
Edition 1st Edition
Languages
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Authors (2):
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PRASHANT VATS PRASHANT VATS
Author Profile Icon PRASHANT VATS
PRASHANT VATS
Dr. Param Jeet Dr. Param Jeet
Author Profile Icon Dr. Param Jeet
Dr. Param Jeet
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to R FREE CHAPTER 2. Statistical Modeling 3. Econometric and Wavelet Analysis 4. Time Series Modeling 5. Algorithmic Trading 6. Trading Using Machine Learning 7. Risk Management 8. Optimization 9. Derivative Pricing

Liability management


Liability management is the process of keeping appropriate liquidity reserves and allocating assets by financial institutions to balance outstanding liabilities such as deposits, CDs, and so on to obtain best performance by simultaneously meeting liabilities and growing net assets. Banks have several risks - asset management risk, interest rate risk, and currency exchange risks - and by using liability management, banks and financial institutions try to minimize the risk.

In this chapter, we have discussed several topics, such as market risk, portfolio risk, credit risk, fraud detection, diversification of portfolios, optimization of portfolios, and rebalancing of the portfolio, which can help financial in situation with liability management.

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