A Spectral Approach to Pricing of Arbitrage-Free SABR Discrete Barrier Options
Nawdha Thakoor (),
Désiré Yannick Tangman () and
Muddun Bhuruth ()
Additional contact information
Nawdha Thakoor: University of Mauritius
Désiré Yannick Tangman: University of Mauritius
Muddun Bhuruth: University of Mauritius
Computational Economics, 2019, vol. 54, issue 3, No 11, 1085-1111
Abstract:
Abstract Market volatility smile risk in derivative pricing can be modelled by the Stochastic Alpha Beta Rho (SABR) model. Once calibrated to market data, prices of European and continuously monitored barrier options can be obtained using equivalent Black’s implied volatility approximations. However these prices are only accurate for options with short maturities. On the other-hand, discretely monitored barrier options cannot be priced using this approach and a numerical technique is required. A novel computational method based on a spectral discretisation of the pricing equation is proposed for the solution of these problems. The high accuracy of the method is first established for special cases of the SABR model where analytical solutions are available and the method is then applied to the pricing of discrete barriers under the arbitrage-free SABR model.
Keywords: Option pricing; Arbitrage-free SABR model; Discretely monitored barriers; Spectral discretisation; 35A35; 65M70; 62P05 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10614-018-9868-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:54:y:2019:i:3:d:10.1007_s10614-018-9868-8
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
DOI: 10.1007/s10614-018-9868-8
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().