z-logo
open-access-imgOpen Access
Optimal portfolios for the DC pension fund with mispricing under the HARA utility framework
Author(s) -
Zilan Liu,
Yijun Wang,
Ya Huang,
Jieming Zhou
Publication year - 2022
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2021228
Subject(s) - hamilton–jacobi–bellman equation , portfolio , dynamic programming , pension , economics , financial market , pension fund , mutual fund separation theorem , selection (genetic algorithm) , computer science , econometrics , mathematical optimization , mathematical economics , financial economics , mathematics , bellman equation , finance , artificial intelligence
This paper studies the optimal portfolio selection for defined contribution (DC) pension fund with mispricing. We adopt the general hyperbolic absolute risk averse (HARA) utility to describe the risk performance of the pension fund managers. The financial market comprises a risk-free asset, a pair of mispriced stocks, and the market index. Using the dynamic programming approach, we construct the Hamilton-Jacobi-Bellman (HJB) equation and obtain the explicit expressions for optimal portfolio choices with two methods. Finally, numerical analysis is presented to illustrate the sensitivity of the optimal portfolios to parameters of the financial market and contribution process. 200 words.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom