Wavelet Methods
Norbert Hilber,
Oleg Reichmann,
Christoph Schwab and
Christoph Winter
Additional contact information
Norbert Hilber: Zurich University of Applied Sciences
Oleg Reichmann: Swiss Federal Institute of Technology (ETH)
Christoph Schwab: Swiss Federal Institute of Technology (ETH)
Christoph Winter: Allianz Deutschland AG
Chapter Chapter 12 in Computational Methods for Quantitative Finance, 2013, pp 159-176 from Springer
Abstract:
Abstract In the previous sections, we developed various algorithms for the efficient pricing of derivative contracts when the price of the underlying is a one-dimensional diffusion, a multidimensional diffusion, a general stochastic volatility or a one-dimensional Lévy process. In this part, we introduce variational numerical methods for pricing under yet more general processes with the aim of achieving linear complexity.
Keywords: Linear Complexity; Time Step Scheme; Local Volatility; Spline Wavelet; Singular Support (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprfcp:978-3-642-35401-4_12
Ordering information: This item can be ordered from
http://www.springer.com/9783642354014
DOI: 10.1007/978-3-642-35401-4_12
Access Statistics for this chapter
More chapters in Springer Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().