Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/18384
Title: Volatility smile extrapolation with an artificial neural network
Author: Richter, Mark Michael
Tutor: García-Villoria, Alberto  
Others: Universitat Oberta de Catalunya
Abstract: I use a multi-layer feedforward perceptron, with backpropagation learning implemented via stochastic gradient descent, to extrapolate the volatility smile of Euribor derivatives over low-strikes by training the network on parametric prices.
Keywords: Foundation Degree in Systems Informatics
volatility smile
neural network
Document type: info:eu-repo/semantics/bachelorThesis
Issue Date: 27-Dec-2012
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
Appears in Collections:Bachelor thesis, research projects, etc.

Files in This Item:
File Description SizeFormat 
mrichtermTFG1212memoria.pdfMemòria del projecte final1,09 MBAdobe PDFThumbnail
View/Open