Optimal Retirement Wealth Allocation under Volatile Interest Rates: A GARCH-Based Analysis
Manasi Goral and
A. S. Talawar
International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 2, 342-351
Abstract:
Managing post-retirement wealth effectively is crucial for ensuring financial security in uncertain market conditions. Traditional pension investment models assume constant interest rates, which fail to capture real-world financial volatility. This study develops an optimal investment strategy for post-retirement wealth management under stochastic interest rates, modeled using EGARCH and GJR-GARCH frameworks. By leveraging GARCH-type models, we estimate volatility dynamics and optimize asset allocation strategies. The Hamilton-Jacobi-Bellman (HJB) equation is applied within a stochastic control framework to derive the optimal investment policy. Sensitivity analysis is conducted to assess the impact of different risk aversion levels on portfolio allocation. The results demonstrate that accounting for stochastic interest rate volatility improves wealth sustainability in the post-retirement phase.
Keywords: GARCH models; HJB equation; Optimal asset allocation; Pension wealth management; Stochastic interest rates (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST25122240 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST25122240/IJSRST25122240 Full text (application/pdf)
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:etm:ijsrst:v12:y2025:i2:id:674
DOI: 10.32628/IJSRST25122240
Access Statistics for this article
More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().