A new method of valuing American options based on Brownian models
Yue Liu,
Aijun Yang,
Jinguan Lin and
Jingjing Yao
Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 20, 4809-4821
Abstract:
This paper investigates the valuation of American option by developing a new technique for solving the optimal stopping problem modeled with Brownian motion. In particular, applying a martingale technique, the value function of option is approximated by specific basis functions. Compared with the traditional approaches, our method is more efficient without losing the accuracy. We show both the theoretical analysis and numerical implements.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1725053 (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:lstaxx:v:50:y:2021:i:20:p:4809-4821
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2020.1725053
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().