Dynamic Liability-Driven Investment under Sponsor’s Loss Aversion
Dong-Hwa Lee and
Joo-Ho Sung ()
Additional contact information
Dong-Hwa Lee: Pension Research Division, National Pension Research Institute, Sejong 30116, Republic of Korea
Joo-Ho Sung: School of Management, Kyung Hee University, Seoul 02447, Republic of Korea
Risks, 2024, vol. 12, issue 2, 1-14
Abstract:
This paper investigates a dynamic liability-driven investment policy for defined-benefit (DB) plans by incorporating the loss aversion of a sponsor, who is assumed to be more sensitive to underfunding than overfunding. Through the lens of prospect theory, we first set up a loss-aversion utility function for a sponsor whose utility depends on the funding ratio in each period, obtained from stochastic processes of pension assets and liabilities. We then construct a multi-horizon dynamic control optimization problem to find the optimal investment strategy that maximizes the expected utility of the plan sponsor. A genetic algorithm is employed to provide a numerical solution for our nonlinear dynamic optimization problem. Our results suggest that the overall paths of the optimal equity allocation decline as the age of a plan participant reaches retirement. We also find that the equity portion of the portfolio increases when a sponsor is less loss-averse or the contribution rate is lower.
Keywords: liability-driven investment; defined-benefit pension plan; loss aversion; prospect theory (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-9091/12/2/38/pdf (application/pdf)
https://www.mdpi.com/2227-9091/12/2/38/ (text/html)
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:gam:jrisks:v:12:y:2024:i:2:p:38-:d:1338348
Access Statistics for this article
Risks is currently edited by Mr. Claude Zhang
More articles in Risks from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().