Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/93343
Title: A study of the heston stochastic volatility model
Authors: Gauci, Jonathan (2013)
Keywords: Stochastic analysis
Kalman filtering
Stochastic programming
Issue Date: 2013
Citation: Gauci, J. (2013). A study of the heston stochastic volatility model (Bachelor's dissertation).
Abstract: The aim of this dissertation is to provide an introduction to stochastic differential equations followed by the study of stochastic volatility models. This will enable us to analyze the dynamics of the S&P500 index under the stochastic volatility assumption. In particular, the Heston stochastic volatility model will be developed. Also, some properties of the Heston stochastic volatility model will be looked into and the model will be implemented on the S&P500 index data. To estimate the parameters of the model, the Kalman and Extended Kalman filters will be studied. A discussion on the method used and the results extracted will follow in the end.
Description: B.SC.(HONS)STATS.&OP.RESEARCH
URI: https://www.um.edu.mt/library/oar/handle/123456789/93343
Appears in Collections:Dissertations - FacSci - 1965-2014
Dissertations - FacSciSOR - 2000-2014

Files in This Item:
File Description SizeFormat 
BSC(HONS)STATISTICS_ Gauci_Jonathan_2013.PDF
  Restricted Access
3 MBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.