Locational Spread Options with Stochastic Correlation

Simple item page
dc.contributor.advisorWare, Antony
dc.contributor.authorAli, Syeda Fareeha
dc.contributor.committeememberSwishchuk, Anatoliy
dc.contributor.committeememberZinchenko, Yuriy
dc.date2023-11
dc.date.accessioned2023-05-09T16:02:18Z
dc.date.available2023-05-09T16:02:18Z
dc.date.issued2023-05-05
dc.description.abstractContrary to the common assumption, the correlation between financial derivatives may not be constant across time. This thesis analyses the role of stochastic correlation in modeling for locational spread options for natural gas. We first derive a model with Ornstein–Uhlenbeck process between two spread assets with constant correlation and then a combination of the Ornstein–Uhlenbeck and Jacobi process is used to model a stochastic correlation. The Margrabe formula is employed to evaluate options prices with constant correlation, the solution for which is used to compare with Monte Carlo simulations for stochasticity. Comparing the results, we find out why stochastic correlation is more important in real markets.
dc.identifier.citationAli, S. F. (2023). Locational spread options with stochastic correlation (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.
dc.identifier.urihttp://hdl.handle.net/1880/116191
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/dspace/41036
dc.language.isoen
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgary
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectMathematical Finance
dc.subject.classificationEducation--Mathematics
dc.titleLocational Spread Options with Stochastic Correlation
dc.typemaster thesis
thesis.degree.disciplineMathematics & Statistics
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accesssetbystudentI do not require a thesis withhold – my thesis will have open access and can be viewed and downloaded publicly as soon as possible.
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ucalgary_2023_ali_syeda.pdf
Size:
720.27 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.62 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Open Theses and Dissertations