Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
Part I: Mathematical Models
1. On Model Risk
2. Robust Optimization Problems in Finance
3. A Survey of Stochastic Portfolio Theory
4. Stochastic Volatility Modeling and Use of Perturbation Methods
5. Downside and Drawdown Risk Characteristics of Optimal Continuous Time
6. Portfolio of Choice and Valuation in Incomplete Markets
7. Integration by Parts Formulas for Levy Processes Application in Finance
Part II: Computational Methods
8. On the Discrete Time Capital Asset Pricing Model
9. Quantization Methods and Applications to Numerical Problems in Finance
10. Recombining Binomial Tree Approximations for Diffusions
11. Computational Methods for Calibration
12. Numerical Methods in Finance: Monte Carlo Methods
Part III: Applications
13. Real Options
14. Anticipative Stochastic Control for Levy Processes with Application to Insider Trading
15. Functional Quantization and Applications to the Pricing of Path-Dependent Derivatives.
16. Stochastic Clock in Financial Markets
17. Exotic Options
18. Filtering a Regime Switching VG Price Process
Mathematical finance is a prolific scientific domain in which there exists a particular characteristic of developing both advanced theories and practical techniques simultaneously. Mathematical Modelling and Numerical Methods in Finance addresses the three most important aspects in the field: mathematical models, computational methods, and applications, and provides a solid overview of major new ideas and results in the three domains.
- Coverage of all aspects of quantitative finance including models, computational methods and applications
- Provides an overview of new ideas and results
- Contributors are leaders of the field
Academics, researchers, and practitioners in quantitative finance, financial risk management; economics, and other areas of math, science and engineering
- No. of pages:
- © North Holland 2009
- 5th December 2008
- North Holland
- Hardcover ISBN:
- eBook ISBN:
City University of Hong Kong, Kowloon
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.