Derivatives and Internal Models Modern Risk Management

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Synopsis

Now in its fifth edition, Derivatives and Internal Models provides a comprehensive and thorough introduction to derivative pricing, risk management and portfolio optimization, covering all relevant topics with enough hands-on, depth of detail to enable readers to develop their own pricing and risk tools.

The book provides insight into modern market risk quantification methods such as variance-covariance, historical simulation, Monte Carlo, hedge ratios, etc., including time series analysis and statistical concepts such as GARCH Models or Chi-Square-distributions. It shows how optimal trading decisions can be deduced once risk has been quantified by introducing risk-adjusted performance measures and a complete presentation of modern quantitative portfolio optimization. Furthermore, all the important modern derivatives and their pricing methods are presented; from basic discounted cash flow methods to Black-Scholes, binomial trees, differential equations, finite difference schemes, Monte Carlo methods, Martingales and Numeraires, terms structure models, etc.

The fifth edition of this classic finance book has been comprehensively reviewed. New chapters/content cover multicurve bootstrapping, the valuation and hedging of credit default risk that is inherently incorporated in every derivative—both of which are direct and permanent consequences of the financial crises with a large impact on our understanding of modern derivative valuation.

The book will be accompanied by downloadable Excel spread sheets, which demonstrate how the theoretical concepts explained in the book can be turned into valuable algorithms and applications and will serve as an excellent starting point for the reader’s own bespoke solutions for valuation and risk management systems.

Book details

Edition:
5th ed. 2019
Series:
Finance and Capital Markets Series
Author:
Hans-Peter Deutsch, Mark W. Beinker
ISBN:
9783030228996
Related ISBNs:
9783030228989
Publisher:
Springer International Publishing
Pages:
200
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2020-08-18
Usage restrictions:
Copyright
Copyright date:
2019
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Business and Finance, Nonfiction