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Department of Finance and Tax

Credit default swaps in a roll-over risk framework

Abstract

dc:description.abstract

Spreads between swap legs referencing floating cashflows of different tenors have widened significantly since the global financial crisis of 2008. This frequency basis can be explained by the presence of “roll-over risk”. Defining the roll-over risk state variables in an affine form, this dissertation prices a credit default swap using an “affine transform” methodology. This price is then compared to that obtained from a traditional Monte Carlo simulation approach. The former is shown to produce accurate results with greater computational efficiency, providing a useful way to price complex financial instruments when the state variables are defined in an appropriate form.

Degree

thesis:*
Grantor
Department of Finance and Tax
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Petersen, Nicholas
Advisor dc:contributor.advisor
  • Backwell, Alex

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/36001
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/36001

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Petersen, Nicholas. Credit default swaps in a roll-over risk framework. Department of Finance and Tax, 2021. http://hdl.handle.net/11427/36001