EconPapers    
Economics at your fingertips  
 

Efficient valuation and exercise boundary of American fractional lookback option in a mixed jump-diffusion model

Zhaoqiang Yang
Additional contact information
Zhaoqiang Yang: Classic Library Reference Room, P. R. China2Lanzhou University of Finance and Economics, Lanzhou Gansu, P. R. China

International Journal of Financial Engineering (IJFE), 2017, vol. 04, issue 02n03, 1-29

Abstract: This study presents an efficient method for pricing the American fractional lookback option in the case where the stock price follows a mixed jump diffusion fraction Brownian motion. By using Itô formula and Wick–Itô–Skorohod integral, a new market pricing model is built. The fundamental solutions of stochastic parabolic partial differential equations are estimated under the condition of Merton assumptions. The explicit integral representation of early exercise premium and the critical exercise price are also given. Numerical simulation illustrates some notable features of American fractional lookback options.

Keywords: Mixed jump-diffusion fractional Brownian motion; Wick–Itô–Skorohod integral; fundamental solutions; optimal exercise boundary (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S2424786317500335
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:wsi:ijfexx:v:04:y:2017:i:02n03:n:s2424786317500335

Ordering information: This journal article can be ordered from

DOI: 10.1142/S2424786317500335

Access Statistics for this article

International Journal of Financial Engineering (IJFE) is currently edited by George Yuan

More articles in International Journal of Financial Engineering (IJFE) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:ijfexx:v:04:y:2017:i:02n03:n:s2424786317500335