Cumulative Prospect Theory for piecewise continuous distributions
Marc Gürtler and
Julia Stolpe
Finance Research Letters, 2017, vol. 22, issue C, 5-10
Abstract:
We extend the continuous Cumulative Prospect Theory by considering piecewise continuous distributions with a finite number of jump discontinuities. Such distributions are always relevant when outcomes depend on continuously distributed random variables and the dependency is defined by a piecewise continuous function. For example, such outcomes occur within the framework of financial engineering. We show how to apply the model to a broad class of piecewise continuous outcome functions that includes outcomes of guarantee certificates.
Keywords: Continuous Cumulative Prospect Theory; Piecewise continuous distributions; Financial engineering; Guarantee certificates (search for similar items in EconPapers)
JEL-codes: C65 D81 G13 (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.sciencedirect.com/science/article/pii/S1544612317302891
Full text for ScienceDirect subscribers only
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:eee:finlet:v:22:y:2017:i:c:p:5-10
DOI: 10.1016/j.frl.2017.05.009
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().