Optimal Insurance Design Under a Value-at-Risk Framework
Ching-Ping Wang (),
David Shyu () and
Hung-Hsi Huang ()
The Geneva Papers on Risk and Insurance Theory, 2005, vol. 30, issue 2, 161-179
Abstract:
This study designs an optimal insurance policy form endogenously, assuming the objective of the insured is to maximize expected final wealth under the Value-at-Risk (VaR) constraint. The optimal insurance policy can be replicated using three options, including a long call option with a small strike price, a short call option with a large strike price, and a short cash-or-nothing call option. Additionally, this study also calculates the optimal insurance levels for these models when we restrict the indemnity to be one of three common forms: a deductible policy, an upper-limit policy, or a policy with proportional coinsurance. Copyright Springer Science + Business Media, Inc. 2005
Keywords: value at risk; optimal insurance; deductible; policy limit; coinsurance (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10713-005-4677-0 (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:kap:geneva:v:30:y:2005:i:2:p:161-179
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10713
DOI: 10.1007/s10713-005-4677-0
Access Statistics for this article
The Geneva Papers on Risk and Insurance Theory is currently edited by Michael Hoy and Nicolas Treich
More articles in The Geneva Papers on Risk and Insurance Theory from Springer, International Association for the Study of Insurance Economics (The Geneva Association) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().