Asset allocation efficiency from dynamic and static strategies in underfunded pension funds

This study attempts to conduct a comparative analysis between dynamic and static asset allocation to achieve the long-term target return on asset liability management (ALM). This study conducts asset allocation using the ex ante expected rate of return through the outlook of future economic indicato...

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Main Authors: Chunsuk Park, Dong-Soon Kim, Kaun Y. Lee
Format: Article
Language:English
Published: Emerald Publishing 2022-02-01
Series:Seonmul yeongu
Subjects:
Online Access:https://www.emerald.com/insight/content/doi/10.1108/JDQS-10-2021-0025/full/pdf?title=asset-allocation-efficiency-from-dynamic-and-static-strategies-in-underfunded-pension-funds
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author Chunsuk Park
Dong-Soon Kim
Kaun Y. Lee
author_facet Chunsuk Park
Dong-Soon Kim
Kaun Y. Lee
author_sort Chunsuk Park
collection DOAJ
description This study attempts to conduct a comparative analysis between dynamic and static asset allocation to achieve the long-term target return on asset liability management (ALM). This study conducts asset allocation using the ex ante expected rate of return through the outlook of future economic indicators because past economic indicators or realized rate of returns which are used as input data for expected rate of returns in the “building block” method, most adopted by domestic pension funds, does not fully reflect the future economic situation. Vector autoregression is used to estimate and forecast long-term interest rates. Furthermore, it is applied to gross domestic product and consumer price index estimation because it is widely used in financial time series data. Based on asset allocation simulations, this study derived the following insights: first, economic indicator filtering and upper-lower bound computation is needed to reduce the expected return volatility. Second, to reach the ALM goal, more stocks should be allocated than low-yielding assets. Finally, dynamic asset allocation which has been mirroring economic changes actively has a higher annual yield and risk-adjusted return than static asset allocation.
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spelling doaj.art-524a613237c84c5aab204657d26279952022-12-22T03:23:27ZengEmerald PublishingSeonmul yeongu1229-988X2713-66472022-02-0130122210.1108/JDQS-10-2021-0025680035Asset allocation efficiency from dynamic and static strategies in underfunded pension fundsChunsuk Park0Dong-Soon Kim1Kaun Y. Lee2Chung-Ang University, Seoul, Republic of KoreaChung-Ang University, Seoul, Republic of KoreaChung-Ang University, Seoul, Republic of KoreaThis study attempts to conduct a comparative analysis between dynamic and static asset allocation to achieve the long-term target return on asset liability management (ALM). This study conducts asset allocation using the ex ante expected rate of return through the outlook of future economic indicators because past economic indicators or realized rate of returns which are used as input data for expected rate of returns in the “building block” method, most adopted by domestic pension funds, does not fully reflect the future economic situation. Vector autoregression is used to estimate and forecast long-term interest rates. Furthermore, it is applied to gross domestic product and consumer price index estimation because it is widely used in financial time series data. Based on asset allocation simulations, this study derived the following insights: first, economic indicator filtering and upper-lower bound computation is needed to reduce the expected return volatility. Second, to reach the ALM goal, more stocks should be allocated than low-yielding assets. Finally, dynamic asset allocation which has been mirroring economic changes actively has a higher annual yield and risk-adjusted return than static asset allocation.https://www.emerald.com/insight/content/doi/10.1108/JDQS-10-2021-0025/full/pdf?title=asset-allocation-efficiency-from-dynamic-and-static-strategies-in-underfunded-pension-fundsdynamic and static asset allocationshortfall riskexpected rate of return by asset classinput databuilding blocktarget rate of returnvar modelfilteringg110g230
spellingShingle Chunsuk Park
Dong-Soon Kim
Kaun Y. Lee
Asset allocation efficiency from dynamic and static strategies in underfunded pension funds
Seonmul yeongu
dynamic and static asset allocation
shortfall risk
expected rate of return by asset class
input data
building block
target rate of return
var model
filtering
g110
g230
title Asset allocation efficiency from dynamic and static strategies in underfunded pension funds
title_full Asset allocation efficiency from dynamic and static strategies in underfunded pension funds
title_fullStr Asset allocation efficiency from dynamic and static strategies in underfunded pension funds
title_full_unstemmed Asset allocation efficiency from dynamic and static strategies in underfunded pension funds
title_short Asset allocation efficiency from dynamic and static strategies in underfunded pension funds
title_sort asset allocation efficiency from dynamic and static strategies in underfunded pension funds
topic dynamic and static asset allocation
shortfall risk
expected rate of return by asset class
input data
building block
target rate of return
var model
filtering
g110
g230
url https://www.emerald.com/insight/content/doi/10.1108/JDQS-10-2021-0025/full/pdf?title=asset-allocation-efficiency-from-dynamic-and-static-strategies-in-underfunded-pension-funds
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AT dongsoonkim assetallocationefficiencyfromdynamicandstaticstrategiesinunderfundedpensionfunds
AT kaunylee assetallocationefficiencyfromdynamicandstaticstrategiesinunderfundedpensionfunds