EconPapers    
Economics at your fingertips  
 

Combinatorial implications of nonlinear uncertain volatility models: the case of barrier options

Marco Avellaneda and Robert Buff

Applied Mathematical Finance, 1999, vol. 6, issue 1, 1-18

Abstract: Extensions to the Black-Scholes model have been suggested recently that permit one to calculate worst-case prices for a portfolio of vanilla options or for exotic options when no a priori distribution for the forward volatility is known. The Uncertain Volatility Model (UVM) by Avellaneda and Paras finds a one-sided worstcase volatility scenario for the buy resp. sell side within a specified volatility range. A key feature of this approach is the possibility of hedging with options: risk cancellation leads to super resp. sub-additive portfolio values. This nonlinear behaviour causes the combinatorial complexity of the pricing problem to increase significantly in the case of barrier options. In the paper, it is shown that for a portfolio P of n barrier options and any number of vanilla options, the number of PDEs that have to be solved in a hierarchical manner in order to solve the UVM problem for P is bounded by O (n2). A numerically stable implementation is described and numerical results are given.

Keywords: Uncertain Volatility Model; Barrier Options; Pricing (search for similar items in EconPapers)
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/135048699334582 (text/html)
Access to full text is restricted to subscribers.

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:taf:apmtfi:v:6:y:1999:i:1:p:1-18

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAMF20

DOI: 10.1080/135048699334582

Access Statistics for this article

Applied Mathematical Finance is currently edited by Professor Ben Hambly and Christoph Reisinger

More articles in Applied Mathematical Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:apmtfi:v:6:y:1999:i:1:p:1-18