Normal approximation for call function via Stein’s method
Suporn Jongpreechaharn and
Kritsana Neammanee
Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 14, 3498-3517
Abstract:
A Collateralized dept Obligation (CDO) is a cause of the Hamburger crisis in the USA. We use call function for pricing the CDO. In this paper, we first give uniform and non uniform bounds on normal approximation for the call function without correction term. In this part, we assume that the third and fourth moments of random variables exist, respectively. Second, we present uniform and non uniform bounds on normal approximation for the call function with a correction term under the assumption that the sixth moments of random variables is finite. Our techniques are Stein’s method and the zero bias transformation.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2018.1476716 (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:48:y:2019:i:14:p:3498-3517
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2018.1476716
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 ().