The types of investment that are undertaken by pension institutions, especially private pension funds has been a debate in most countries. The desire of whether to invest in alternatives investment such as infrastructural or government securities may be a matter of policy guidelines issued by the government authorities. The objective of this study was to investigate the effect of the types of investment of private pension funds on the economic output in Ghana. The motivation behind this research was the fact that other researchers focused more on public pension schemes without recourse to the private sector of administering pension in Ghana. This is a quantitative research study that employed Ordinary Least Squared method using quarterly data set from National Pension Regulation Authority ranging from 2018-2023. The findings revealed that the investment of private pension funds in government securities has influenced the economic output of Ghana significantly. Thus, for every unit increased of investment in the purchase of the government securities had a 0.4409 increase in economic activities of the country. Likewise, other assets such bank securities and equities have all had a positive and significant impact on the economy. The study recommends that the private pension fund assets allocation spectrums are widened to promote diversification, reduce risk and to influence the economic output.
| Published in | Economics (Volume 15, Issue 3) |
| DOI | 10.11648/j.eco.20261503.12 |
| Page(s) | 70-80 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Private Pension, Investment, Portfolio, Assets Allocation, Pensions
Variables | Mean | Std. Deviation | Minimum | Maximum |
|---|---|---|---|---|
GDPpen | 0.0020 | 0.0006 | 0.0013 | 0.0032 |
logGOG | 0.0030 | 0.0011 | 0.0018 | 0.0053 |
logLGSAS | 0.0187 | 0.0119 | 0.0081 | 0.0395 |
logCB | 0.0463 | 0.0262 | 0.0250 | 0.1103 |
logBS | 0.0320 | 0.0111 | 0.0161 | 0.0544 |
logCIS | 0.0907 | 0.0361 | 0.0445 | 0.1525 |
logE | 0.0981 | 0.0395 | 0.0491 | 0.1778 |
AI | 15.526 | 28.613 | 0.000 | 91.396 |
logCa | 0.1883 | 0.1870 | 0.0312 | 0.8164 |
INFL | 16.864 | 14.032 | 7.600 | 50.46 |
FX | 6.5347 | 1.8873 | 5.2848 | 11.563 |
YEARS/QTRS | logGOG | logLASGA | logCB | logBS | logCIS | logE | AI | CASH |
|---|---|---|---|---|---|---|---|---|
2023 Q1 | 0.72 | 0.11 | 0.04 | 0.04 | 0.02 | 0.02 | 0.00 | 0.04 |
2022 Q4 | 0.73 | 0.12 | 0.05 | 0.02 | 0.02 | 0.02 | 0.00 | 0.04 |
2022 Q3 | 0.73 | 0.13 | 0.05 | 0.03 | 0.02 | 0.02 | 0.00 | 0.02 |
2022 Q2 | 0.71 | 0.15 | 0.05 | 0.03 | 0.03 | 0.02 | 0.00 | 0.02 |
2022 Q1 | 0.67 | 0.15 | 0.05 | 0.05 | 0.03 | 0.02 | 0.02 | 0.01 |
2021 Q4 | 0.67 | 0.13 | 0.06 | 0.07 | 0.03 | 0.01 | 0.00 | 0.03 |
2021 Q3 | 0.60 | 0.20 | 0.04 | 0.08 | 0.04 | 0.03 | 0.00 | 0.02 |
2021 Q2 | 0.63 | 0.19 | 0.04 | 0.07 | 0.02 | 0.04 | 0.00 | 0.01 |
2021 Q1 | 0.64 | 0.18 | 0.04 | 0.08 | 0.02 | 0.04 | 0.00 | 0.01 |
2020 Q4 | 0.64 | 0.17 | 0.04 | 0.08 | 0.02 | 0.04 | 0.00 | 0.00 |
2020 Q3 | 0.70 | 0.11 | 0.02 | 0.12 | 0.02 | 0.01 | 0.00 | 0.01 |
2020 Q2 | 0.68 | 0.11 | 0.03 | 0.13 | 0.02 | 0.02 | 0.00 | 0.01 |
2020 Q1 | 0.66 | 0.11 | 0.03 | 0.12 | 0.02 | 0.02 | 0.02 | 0.01 |
2019 Q4 | 0.72 | 0.07 | 0.03 | 0.09 | 0.02 | 0.02 | 0.05 | 0.01 |
2019 Q3 | 0.61 | 0.07 | 0.09 | 0.09 | 0.02 | 0.02 | 0.07 | 0.03 |
2019 Q2 | 0.59 | 0.08 | 0.11 | 0.08 | 0.02 | 0.02 | 0.06 | 0.03 |
2019 Q1 | 0.60 | 0.08 | 0.11 | 0.08 | 0.02 | 0.02 | 0.06 | 0.03 |
2018 Q4 | 0.60 | 0.08 | 0.11 | 0.08 | 0.02 | 0.02 | 0.06 | 0.03 |
Variables | P-Value | Conclusion |
|---|---|---|
GDPpen | 0.4597 | Not Stationary |
logGOG | 0.0312 | Stationary |
logLGSAS | 0.145 | Not stationary |
logCB | 0.7341 | Not stationary |
logBS | 0.0288 | Stationary |
logCIS | 0.1106 | Not Stationary |
logE | 0.0404 | Stationary |
AI | 0.0008 | Stationary |
logCa | 0.1525 | Not stationary |
INFL | 0.0934 | Not stationary |
FX | 0.0915 | Not stationary |
Variables | W | P-values |
|---|---|---|
GDPpen | 0.903587 | 0.0663731 |
logGOG | 0.913441 | 0.0989478 |
logLGSAS | 0.742114 | 0.00025763 |
logCB | 0.769019 | 0.00057267 |
logBS | 0.956909 | 0.543233 |
logCIS | 0.920433 | 0.131573 |
logE | 0.932426 | 0.21419 |
AI | 0.590033 | 5.40E-06 |
logCa | 0.726855 | 0.00016676 |
INFL | 0.664428 | 3.17E-05 |
FX | 0.644857 | 1.95E-05 |
DPV | GOG | LGSAS | CORP. DEBT | BANK SEC. | CIS | EQUITY | AI | CASH | INFL | EXCH | |
|---|---|---|---|---|---|---|---|---|---|---|---|
DPV | 1 | ||||||||||
logGOG | 0.983 | 1 | |||||||||
logLGSA | 0.918 | 0.883 | 1 | ||||||||
logCB | 0.356 | 0.212 | 0.262 | 1 | |||||||
logBS | -0.31 | -0.29 | -0.079 | -0.593 | 1 | ||||||
logCIS | 0.907 | 0.871 | 0.863 | 0.383 | -0.2 | 1 | |||||
logE | 0.653 | 0.538 | 0.731 | 0.603 | -0.233 | 0.573 | 1 | ||||
AI | -0.45 | -0.46 | -0.353 | -0.324 | 0.372 | -0.53 | -0.221 | 1 | |||
logCa | 0.23 | 0.195 | -0.004 | 0.514 | -0.511 | 0.167 | 0.026 | -0.26 | 1 | ||
INFL | -0.64 | -0.64 | -0.409 | -0.418 | 0.675 | -0.42 | -0.404 | 0.136 | -0.41 | 1 | |
EXCH | -0.63 | -0.63 | -0.41 | -0.399 | 0.644 | -0.41 | -0.416 | 0.106 | -0.39 | 0.982 | 1 |
Variables | Coefficient | Std. Error | t-ratio | p-value | |
|---|---|---|---|---|---|
Const | 0.000129331 | 0.000124689 | 1.037 | 0.3341 | |
LogGOG | 0.440915 | 0.0254323 | 17.34 | 0.0001 | *** |
logLGSAS | 0.00295469 | 0.00112281 | 2.632 | 0.0338 | ** |
logCORPDEBT | 0.00261495 | 0.000755321 | 3.462 | 0.0105 | ** |
logBANKSEC | 0.00292465 | 0.00140843 | 2.077 | 0.0765 | * |
logCIS | 0.00155229 | 0.000605516 | 2.564 | 0.0374 | ** |
logEQUITY | 0.00116508 | 0.000495266 | 2.352 | 0.0509 | * |
AI | 4.70890e-07 | 4.05862e-07 | 1.160 | 0.2840 | |
logCASH | 7.60139e-05 | 3.96583e-05 | 1.917 | 0.0968 | * |
INFL | −1.22635e-06 | 3.57463e-06 | −0.3431 | 0.7416 | |
EXCH | 8.96041e-07 | 2.41884e-05 | 0.03704 | 0.9715 |
Statistics | Value | Statistics | Value |
|---|---|---|---|
Sum squared resid | 18.14324 | S.E. of regression | 1.609935 |
R-squared | 0.999766 | Adjusted R-squared | 0.999431 |
F(10, 7) | 2985.676 | P-value (F) | 9.91e-12 |
Log-likelihood | −25.61223 | Akaike criterion | 73.22446 |
Schwarz criterion | 83.01855 | Hannan-Quinn | 74.57493 |
Rho | −0.151192 | Durbin-Watson | 2.186242 |
Statistics | Value | Statistics | Value |
|---|---|---|---|
Mean dependent var | 0.002012 | S.D. dependent var | 0.000620 |
Sum squared resid | 1.13e-08 | S.E. of regression | 0.000040 |
BS | Bank Securities |
CB | Corporate Bonds |
CIS | Collective Investment Schemes |
DDEP | Domestic Debt Exchange Programme |
E | Equity |
FX | Foreign Exchange |
GDP | Gross Domestic Product |
GDPpen | Gross Domestic Product per Total Private Investment |
GOG | Government of Ghana |
Ift | Inflation rate |
LGSAS | Local Government and Statutory Agencies Bonds |
NPRA | National Pensions Regulatory Authority |
OECD | Organization for Economic Cooperation and Development |
OLS | Ordinary Least Squares |
SEC | Securities and Exchange Commission |
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APA Style
Agblobi, A. D., Asigbey, E., Ofosua, O. R. (2026). The Types of Investment Assets Held by Private Pension Funds and Their Impact on Economic Output. Economics, 15(3), 70-80. https://doi.org/10.11648/j.eco.20261503.12
ACS Style
Agblobi, A. D.; Asigbey, E.; Ofosua, O. R. The Types of Investment Assets Held by Private Pension Funds and Their Impact on Economic Output. Economics. 2026, 15(3), 70-80. doi: 10.11648/j.eco.20261503.12
@article{10.11648/j.eco.20261503.12,
author = {Andrews Doeh Agblobi and Emmanuel Asigbey and Ohene Rachel Ofosua},
title = {The Types of Investment Assets Held by Private Pension Funds and Their Impact on Economic Output},
journal = {Economics},
volume = {15},
number = {3},
pages = {70-80},
doi = {10.11648/j.eco.20261503.12},
url = {https://doi.org/10.11648/j.eco.20261503.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eco.20261503.12},
abstract = {The types of investment that are undertaken by pension institutions, especially private pension funds has been a debate in most countries. The desire of whether to invest in alternatives investment such as infrastructural or government securities may be a matter of policy guidelines issued by the government authorities. The objective of this study was to investigate the effect of the types of investment of private pension funds on the economic output in Ghana. The motivation behind this research was the fact that other researchers focused more on public pension schemes without recourse to the private sector of administering pension in Ghana. This is a quantitative research study that employed Ordinary Least Squared method using quarterly data set from National Pension Regulation Authority ranging from 2018-2023. The findings revealed that the investment of private pension funds in government securities has influenced the economic output of Ghana significantly. Thus, for every unit increased of investment in the purchase of the government securities had a 0.4409 increase in economic activities of the country. Likewise, other assets such bank securities and equities have all had a positive and significant impact on the economy. The study recommends that the private pension fund assets allocation spectrums are widened to promote diversification, reduce risk and to influence the economic output.},
year = {2026}
}
TY - JOUR T1 - The Types of Investment Assets Held by Private Pension Funds and Their Impact on Economic Output AU - Andrews Doeh Agblobi AU - Emmanuel Asigbey AU - Ohene Rachel Ofosua Y1 - 2026/08/22 PY - 2026 N1 - https://doi.org/10.11648/j.eco.20261503.12 DO - 10.11648/j.eco.20261503.12 T2 - Economics JF - Economics JO - Economics SP - 70 EP - 80 PB - Science Publishing Group SN - 2376-6603 UR - https://doi.org/10.11648/j.eco.20261503.12 AB - The types of investment that are undertaken by pension institutions, especially private pension funds has been a debate in most countries. The desire of whether to invest in alternatives investment such as infrastructural or government securities may be a matter of policy guidelines issued by the government authorities. The objective of this study was to investigate the effect of the types of investment of private pension funds on the economic output in Ghana. The motivation behind this research was the fact that other researchers focused more on public pension schemes without recourse to the private sector of administering pension in Ghana. This is a quantitative research study that employed Ordinary Least Squared method using quarterly data set from National Pension Regulation Authority ranging from 2018-2023. The findings revealed that the investment of private pension funds in government securities has influenced the economic output of Ghana significantly. Thus, for every unit increased of investment in the purchase of the government securities had a 0.4409 increase in economic activities of the country. Likewise, other assets such bank securities and equities have all had a positive and significant impact on the economy. The study recommends that the private pension fund assets allocation spectrums are widened to promote diversification, reduce risk and to influence the economic output. VL - 15 IS - 3 ER -