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African Institute of Financial Markets and Risk Management

Analytical Solution of the Characteristic Function in the Trolle-Schwartz Model

Abstract

dc:description.abstract

In 2009, Trolle and Schwartz (2008) produced an instantaneous forward interest rate model with several stylised facts such as stochastic volatility. They derived pricing formulae in order to price bonds and bond options, which can be altered to price interest rate options such as caplets, caps and swaptions. These formulae involve implementing numerical methods for solving an ordinary differential equation (ODE). Schumann (2016) confirmed the accuracy of the pricing formulae in the Trolle and Schwartz (2008) model using Monte-Carlo simulation. Both authors used a numerical ODE solver to estimate the ODE. In this dissertation, a closed-form solution for this ODE is presented. Two solutions were found. However, these solutions rely on a simplification of the instantaneous volatility function originally proposed in the Trolle and Schwartz (2008) model. This case happens to be the stochastic volatility version of the Hull and White (1990) model. The two solutions are compared to an ODE solver for one stochastic volatility term and then extended to three stochastic volatility terms.

Degree

thesis:*
Grantor
African Institute of Financial Markets and Risk Management
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Van Gysen, Richard John
Advisors dc:contributor.advisor
  • McWalter, Thomas
  • Kienitz, Joerg

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/31328
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/31328

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Van Gysen, Richard John. Analytical Solution of the Characteristic Function in the Trolle-Schwartz Model. African Institute of Financial Markets and Risk Management, 2019. http://hdl.handle.net/11427/31328