References (25)



A Stochastic Approach to the Valuation of Barrier Options in Heston’s Stochastic Volatility Model

Susanne Griebsch

University of Technology, Sydney; Financial Research Network (FIRN)

Kay F. Pilz


May 16, 2013

In the valuation of continuous barrier options the distribution of the first hitting time plays a substantial role. In general, the derivation of a hitting time distribution poses a mathematically challenging problem for continuous but otherwise arbitrary boundary curves. When considering barrier options in the Heston model the non-linearity of the variance process leads to the problem of a non-linear hitting boundary. Here, we choose a stochastic approach to solve this problem in the reduced Heston framework, when the correlation is zero and foreign and domestic interest rates are equal. In this context one of our main findings involves the proof of the reflection principle for a driftless Itô process with a time-dependent variance. Combining the two results, we derive a closed-form formula for the value of continuous barrier options. Compared to an existing pricing formula, our solution provides further insight into how the barrier option value in the Heston model is constructed. Extending the results to the general Heston framework with arbitrary correlation and drift, we obtain approximations for the joint random variables of the Itô process and its maximum in a weak sense. As a consequence, an approximate formula for pricing barrier options is established. A numerical case study is also performed which illustrates the agreement in results of our developed formulas with standard finite difference methods.

Number of Pages in PDF File: 36

Keywords: Heston model, barrier options, reflection principle

Open PDF in Browser Download This Paper

Date posted: February 8, 2012 ; Last revised: May 27, 2013

Suggested Citation

Griebsch, Susanne and Pilz, Kay F., A Stochastic Approach to the Valuation of Barrier Options in Heston’s Stochastic Volatility Model (May 16, 2013). Available at SSRN: https://ssrn.com/abstract=2001148 or http://dx.doi.org/10.2139/ssrn.2001148

Contact Information

Susanne Griebsch (Contact Author)
University of Technology, Sydney ( email )
Haymarket, Ultimo
PO Box 123
Sydney, NSW 2007
Financial Research Network (FIRN)
C/- University of Queensland Business School
St Lucia, 4071 Brisbane
HOME PAGE: http://www.firn.org.au

Kay F. Pilz
RIVACON ( email )
Im Apfelgrund 4
Friedrichsdorf, 61381
HOME PAGE: http://www.rivacon.com
Feedback to SSRN

Paper statistics
Abstract Views: 1,231
Downloads: 431
Download Rank: 51,481
References:  25