Should I stay or go? Valuation of multiple premium payment options for participating life insurance contracts
Hsiaoyin Chang () and
Hato Schmeiser ()
Additional contact information
Hsiaoyin Chang: University of St. Gallen
Hato Schmeiser: University of St. Gallen
Review of Managerial Science, 2025, vol. 19, issue 10, No 3, 3039-3072
Abstract:
Abstract Participating life insurance contracts with investment guarantees typically possess various embedded options. In this paper, we focus on common options with early exercise features, i.e., paid-up options, resumption options, surrender options and the combinations among them. The valuation of these options depends strongly on the exercise strategy applied by the policyholder. We extend the Least Square Monte Carlo (LSMC) method to approximate an optimal exercise strategy and to determine multiple optimal exercise points while incorporating two stochastic sources (asset and interest rate risk). In addition, these findings are compared to results based on two other exercise assumptions. In contrast to earlier studies on this topic, we show in our model setup that premium-payment options can pose a severe risk for life insurers if not priced properly and hence are of great value for policyholders if used strategically. Moreover, we demonstrate that introducing fees for exercising premium-payment options only slightly reduces the option price necessary to finance adequate risk management measures.
Keywords: Participating life insurance contracts; Embedded option pricing; Stochastic interest rate; Risk-neutral valuation; Least Square Monte Carlo (search for similar items in EconPapers)
JEL-codes: E17 G13 G22 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11846-025-00841-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:rvmgts:v:19:y:2025:i:10:d:10.1007_s11846-025-00841-w
Ordering information: This journal article can be ordered from
http://www.springer.com/business/journal/11846
DOI: 10.1007/s11846-025-00841-w
Access Statistics for this article
Review of Managerial Science is currently edited by R. Ewert and W. Kürsten
More articles in Review of Managerial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().