The issue of bank failure due to low level of liquidity has been an age-long challenge bedeviling the Nigerian banking sector. Hence, this study examined the linkage between money market and the liquidity of some selected quoted banks in Nigeria. Specifically, the study assessed the impact of deposit money banks’ working capital on savings deposits in Nigeria, and it also investigated how the interbank call rate influences monetary policy rate in Nigeria. The research used secondary data from 2014 till 2023 of five (5) selected banks including First Bank PLC, Guaranteed Trust Bank, Zenith Bank, United Bank for Africa PLC, and Access Bank PLC for its analyses. Findings showed that, first, there was a significant and positive relationship between savings deposit rates and working capital, and secondly, monetary policy rate does not have a statistically significant impact on the interbank call rate. The study thus recommended that as savings deposit rates significantly influence working capital, policymakers should focus on mechanisms that stabilize these rates to ensure consistent liquidity conditions. The study further recommended that understanding the differential impact of various financial indicators on bank liquidity can help policymakers design more targeted and effective monetary policies. For instance, if savings deposit rates significantly influence working capital, policymakers should focus on mechanisms that stabilize these rates to ensure consistent liquidity conditions.
Published in | Journal of Finance and Accounting (Volume 13, Issue 1) |
DOI | 10.11648/j.jfa.20251301.12 |
Page(s) | 14-28 |
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), 2025. Published by Science Publishing Group |
Liquidity, Working Capital, Inter Bank Call Rate, Savings Deposit Rate, Monetary Policy Rate
SAVINGS DEPOSIT | TREASURY BILL | PRIME LENDING | MAX LENDING | INTERBANK CALL RATE | MPR | |
---|---|---|---|---|---|---|
Mean | 3.493697 | 7.441261 | 15.14193 | 28.57840 | 12.32916 | 13.52941 |
Median | 3.780000 | 9.110000 | 16.08000 | 28.31000 | 10.73000 | 13.50000 |
Maximum | 5.280000 | 14.93000 | 18.23000 | 31.56000 | 64.58000 | 18.75000 |
Minimum | 1.250000 | 0.000000 | 11.13000 | 25.07000 | 0.000000 | 11.00000 |
Std. Dev. | 1.030757 | 4.457431 | 2.211634 | 1.872554 | 9.529954 | 1.987827 |
Skewness | -0.819605 | -0.135781 | -0.587006 | 0.114057 | 2.085911 | 1.285068 |
Kurtosis | 3.048773 | 1.564817 | 1.850867 | 1.694879 | 10.36455 | 4.240044 |
Jarque-Bera | 13.33489 | 10.57858 | 13.38161 | 8.703747 | 355.2186 | 40.37725 |
Probability | 0.001272 | 0.005045 | 0.001242 | 0.012883 | 0.000000 | 0.000000 |
Sum | 415.7500 | 885.5100 | 1801.890 | 3400.830 | 1467.170 | 1610.000 |
Sum Sq. Dev. | 125.3704 | 2344.506 | 577.1763 | 413.7622 | 10716.76 | 466.2721 |
Observations | 119 | 119 | 119 | 119 | 119 | 119 |
Series: SAVINGS DEPOSIT, TREASURY BILL, PRIME LENDING, | ||||
MAX LENDING, INTERBANK CALL RATE, MPR | ||||
Date: 07/17/24 Time: 07:10 | ||||
Sample: 1 119 | ||||
Method | Statistic | Prob.** | ||
ADF - Fisher Chi-square | 72.6918 | 0.0000 | ||
ADF - Choi Z-stat | -4.83725 | 0.0000 | ||
** Probabilities for Fisher tests are computed using an asymptotic Chi | ||||
-square distribution. All other tests assume asymptotic normality. | ||||
Intermediate ADF test results UNTITLED | ||||
Series | Prob. | Lag | Max Lag | Obs |
SAVINGS DEPOSIT | 0.7898 | 11 | 12 | 107 |
TREASURY BILL | 0.0526 | 0 | 12 | 118 |
PRIME LENDING | 0.0017 | 0 | 12 | 118 |
MAX LENDING | 0.0556 | 0 | 12 | 118 |
INTERBANK CALL RATE | 0.4872 | 1 | 12 | 117 |
MPR | 0.0000 | 0 | 12 | 118 |
Dependent Variable: WORKING CAPITAL | ||||
Method: Least Squares | ||||
Date: 07/17/24 Time: 07:22 | ||||
Sample: 1 119 | ||||
Included observations: 119 | ||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
C | 26.99870 | 0.592327 | 45.58075 | 0.0000 |
SAVINGSDEPOSIT | 0.452158 | 0.162667 | 2.779659 | 0.0063 |
R-squared | 0.061948 | Mean dependent var | 28.57840 | |
Adjusted R-squared | 0.053930 | S.D. dependent var | 1.872554 | |
S.E. of regression | 1.821361 | Akaike info criterion | 4.053709 | |
Sum squared resid | 388.1306 | Schwarz criterion | 4.100417 | |
Log likelihood | -239.1957 | Hannan-Quinn criter. | 4.072676 | |
F-statistic | 7.726505 | Durbin-Watson stat | 0.254718 | |
Prob(F-statistic) | 0.006342 |
Dependent Variable: INTERBANK CALL RATE | ||||
Method: Least Squares | ||||
Date: 07/17/24 Time: 07:21 | ||||
Sample: 1 119 | ||||
Included observations: 119 | ||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
C | 4.668308 | 6.017925 | 0.775734 | 0.4395 |
MPR | 0.566237 | 0.440118 | 1.286558 | 0.2008 |
R-squared | 0.013950 | Mean dependent var | 12.32916 | |
Adjusted R-squared | 0.005522 | S.D. dependent var | 9.529954 | |
S.E. of regression | 9.503605 | Akaike info criterion | 7.357883 | |
Sum squared resid | 10567.26 | Schwarz criterion | 7.404591 | |
Log likelihood | -435.7941 | Hannan-Quinn criter. | 7.376850 | |
F-statistic | 1.655232 | Durbin-Watson stat | 1.410370 | |
Prob(F-statistic) | 0.200788 |
AIC | Akaike Information Criterion |
ARDL | Autoregressive Distributive Lag |
CRR | Cash Reserve Ratio |
CBN | Central Bank of Nigeria |
ECM | Error Correction Model |
MPR | Monetary Policy Rate |
OMO | Open Market Operations |
OLS | Ordinary Least Squares |
SC | Schwarz Criterion |
Year | Month | InterBankCallRate | MRR | MPR | TreasuryBill | SavingsDeposit | PrimeLending | MaxLending |
---|---|---|---|---|---|---|---|---|
2023 | 1 | 10.35 | 17.5 | 1.39 | 4.29 | 13.67 | 27.63 | |
2023 | 2 | 12.54 | 17.5 | 2.09 | 4.3 | 13.62 | 28.75 | |
2023 | 3 | 14.75 | 18 | 3.81 | 4.58 | 13.97 | 28.08 | |
2023 | 4 | 15.8 | 18 | 5.73 | 4.59 | 14.05 | 28.59 | |
2023 | 5 | 12.31 | 18.5 | 2.98 | 5.13 | 14.07 | 28.31 | |
2023 | 6 | 11.66 | 18.5 | 3.87 | 5.18 | 13.85 | 28.94 | |
2023 | 7 | 6.73 | 18.75 | 4.45 | 5.24 | 13.98 | 27.38 | |
2023 | 8 | 3.89 | 18.75 | 5.13 | 5.26 | 13.99 | 27.59 | |
2023 | 9 | 12.73 | 18.75 | 5.29 | 5.26 | 14.32 | 27.24 | |
2023 | 10 | 7.2 | 18.75 | 5.39 | 5.26 | 14.39 | 28.97 | |
2023 | 11 | 19.39 | 18.75 | 7.73 | 5.26 | 14.05 | 27.61 | |
2023 | 12 | 16.99 | 18.75 | 8.93 | 5.28 | 14.17 | 26.62 | |
2022 | 1 | 14.31 | 11.5 | 2.49 | 1.25 | 11.68 | 27.65 | |
2022 | 2 | 9.3 | 11.5 | 2.3 | 1.25 | 11.78 | 30.73 | |
2022 | 3 | 11.33 | 11.5 | 1.75 | 1.28 | 11.84 | 26.61 | |
2022 | 4 | 8.67 | 11.5 | 1.74 | 1.28 | 11.83 | 27.79 | |
2022 | 5 | 8.38 | 13 | 2.47 | 1.37 | 11.96 | 27.37 | |
2022 | 6 | 11.1 | 13 | 2.41 | 1.38 | 12.29 | 27.61 | |
2022 | 7 | 13 | 14 | 2.76 | 1.42 | 12.1 | 27.61 | |
2022 | 8 | 15 | 14 | 3.83 | 2.93 | 12.23 | 28.3 | |
2022 | 9 | 0 | 15.5 | 5.68 | 4.08 | 12.23 | 28.06 | |
2022 | 10 | 0 | 15.5 | 6.49 | 3.77 | 12.23 | 28.06 | |
2022 | 11 | 12.25 | 16.5 | 6.5 | 3.93 | 13.17 | 28.14 | |
2022 | 12 | 12 | 16.5 | 4.35 | 4.13 | 13.85 | 29.13 | |
2021 | 1 | 4.4 | 11.5 | 0.52 | 1.86 | 11.25 | 28.3 | |
2021 | 2 | 11.43 | 11.5 | 1.49 | 1.79 | 11.21 | 28.54 | |
2021 | 3 | 10.1 | 11.5 | 2 | 1.86 | 11.13 | 28.74 | |
2021 | 4 | 30 | 11.5 | 2 | 1.86 | 11.24 | 28.64 | |
2021 | 5 | 15.23 | 11.5 | 2.5 | 1.83 | 11.29 | 28.39 | |
2021 | 6 | 16.57 | 11.5 | 2.5 | 1.81 | 11.67 | 29.05 | |
2021 | 7 | 12.38 | 11.5 | 2.5 | 1.82 | 11.57 | 27.99 | |
2021 | 8 | 13.45 | 11.5 | 2.5 | 1.82 | 11.62 | 28 | |
2021 | 9 | 13.21 | 11.5 | 2.5 | 1.28 | 11.73 | 27.1 | |
2021 | 10 | 13.33 | 11.5 | 2.5 | 1.28 | 11.61 | 27.1 | |
2021 | 11 | 11.53 | 11.5 | 2.5 | 1.83 | 11.8 | 27.26 | |
2021 | 12 | 0 | 11.5 | 2.49 | 1.25 | 11.68 | 27.58 | |
2020 | 1 | 5.74 | 13.5 | 3.45 | 3.89 | 14.97 | 30.77 | |
2020 | 2 | 8.91 | 13.5 | 3 | 3.89 | 15.04 | 30.63 | |
2020 | 3 | 10.29 | 13.5 | 2.39 | 3.89 | 14.71 | 30.48 | |
2020 | 4 | 7.33 | 13.5 | 1.91 | 3.69 | 14.92 | 30.73 | |
2020 | 5 | 4.35 | 12.5 | 2.47 | 3.83 | 14.73 | 30.69 | |
2020 | 6 | 5.75 | 12.5 | 1.94 | 3.78 | 15.65 | 30.57 | |
2020 | 7 | 6.25 | 12.5 | 1.3 | 3.78 | 12.1 | 28.42 | |
2020 | 8 | 7.38 | 12.5 | 1.17 | 3.78 | 11.76 | 29.51 | |
2020 | 9 | 2 | 11.5 | 1.1 | 2.41 | 11.55 | 28.45 | |
2020 | 10 | 0 | 11.5 | 0.86 | 1.87 | 11.31 | 28.36 | |
2020 | 11 | 0 | 11.5 | 0.03 | 1.84 | 11.6 | 28.85 | |
2020 | 12 | 1.25 | 11.5 | 0.03 | 2.04 | 11.35 | 28.31 | |
2019 | 1 | 15 | 14 | 10.98 | 4.07 | 16.01 | 30.48 | |
2019 | 2 | 16.45 | 14 | 10.91 | 4.07 | 16.08 | 30.56 | |
2019 | 3 | 11.5 | 13.5 | 10.42 | 3.97 | 14.92 | 30.83 | |
2019 | 4 | 13.98 | 13.5 | 10.24 | 3.91 | 18.23 | 30.89 | |
2019 | 5 | 5.14 | 13.5 | 10 | 3.9 | 15.33 | 31.07 | |
2019 | 6 | 8.38 | 13.5 | 9.93 | 3.93 | 15.8 | 31.04 | |
2019 | 7 | 6.52 | 13.5 | 9.92 | 3.93 | 15.46 | 31.07 | |
2019 | 8 | 8 | 13.5 | 10.89 | 3.93 | 15.4 | 31.04 | |
2019 | 9 | 11.61 | 13.5 | 11.1 | 3.2 | 15.15 | 31.43 | |
2019 | 10 | 6.37 | 13.5 | 10.03 | 3.93 | 15.07 | 30.56 | |
2019 | 11 | 0 | 13.5 | 6.73 | 3.31 | 14.91 | 29.4 | |
2018 | 1 | 15.58 | 14 | 12.27 | 4.07 | 17.5 | 31.39 | |
2018 | 2 | 26.19 | 14 | 11.88 | 4.07 | 17.53 | 31.4 | |
2018 | 3 | 15.16 | 14 | 11.84 | 4.07 | 17.35 | 31.55 | |
2018 | 4 | 3.1 | 14 | 11.43 | 4.07 | 17.24 | 31.56 | |
2018 | 5 | 25.43 | 14 | 10 | 4.07 | 17.08 | 31.29 | |
2018 | 6 | 5 | 14 | 10.11 | 4.07 | 16.78 | 31.17 | |
2018 | 7 | 2.86 | 14 | 10 | 4.07 | 16.83 | 31.09 | |
2018 | 8 | 2.45 | 14 | 10.64 | 4.07 | 16.65 | 30.93 | |
2018 | 9 | 4.57 | 14 | 11 | 4.07 | 16.59 | 30.77 | |
2018 | 10 | 14.18 | 14 | 10.94 | 4.07 | 16.53 | 30.67 | |
2018 | 11 | 7.17 | 14 | 10.91 | 4.07 | 16.64 | 30.8 | |
2018 | 12 | 22.68 | 14 | 0 | 4.07 | 16.17 | 30.52 | |
2017 | 1 | 8.15 | 14 | 13.95 | 4.22 | 16.91 | 28.88 | |
2017 | 2 | 27.46 | 14 | 13.75 | 4.22 | 17.13 | 29.26 | |
2017 | 3 | 13.11 | 14 | 13.6 | 4.23 | 17.43 | 30.18 | |
2017 | 4 | 64.58 | 14 | 13.58 | 4.24 | 17.44 | 30.31 | |
2017 | 5 | 21.29 | 14 | 13.5 | 4.08 | 17.58 | 30.75 | |
2017 | 6 | 13.46 | 14 | 13.5 | 4.08 | 17.59 | 30.94 | |
2017 | 7 | 12.28 | 14 | 13.46 | 4.08 | 17.65 | 30.94 | |
2017 | 8 | 22.63 | 14 | 13.35 | 4.08 | 17.69 | 31.2 | |
2017 | 9 | 20.44 | 14 | 13.2 | 4.08 | 17.88 | 31.39 | |
2017 | 10 | 43.78 | 14 | 13.18 | 4.08 | 17.86 | 31.39 | |
2017 | 11 | 18.78 | 14 | 13.01 | 4.08 | 17.77 | 30.95 | |
2017 | 12 | 9.49 | 14 | 0 | 4.08 | 17.71 | 30.99 | |
2016 | 1 | 2.04 | 11 | 4.12 | 3.29 | 16.54 | 26.77 | |
2016 | 2 | 2.67 | 11 | 4.91 | 3.29 | 16.72 | 26.73 | |
2016 | 3 | 4.32 | 12 | 5.53 | 3.26 | 16.82 | 26.93 | |
2016 | 4 | 3.75 | 12 | 7.27 | 3.54 | 16.77 | 26.88 | |
2016 | 5 | 7.67 | 12 | 8.04 | 3.57 | 16.13 | 26.73 | |
2016 | 6 | 35.26 | 12 | 8.32 | 3.61 | 16.78 | 26.93 | |
2016 | 7 | 31.51 | 14 | 12.34 | 3.89 | 17.14 | 27.06 | |
2016 | 8 | 24.25 | 14 | 14.93 | 3.93 | 17.18 | 27.21 | |
2016 | 9 | 14.5 | 14 | 14 | 4.05 | 17.09 | 27.49 | |
2016 | 10 | 36.42 | 14 | 13.96 | 4.08 | 17.1 | 27.69 | |
2016 | 11 | 15.21 | 14 | 13.99 | 4.28 | 17.06 | 28.53 | |
2016 | 12 | 10.39 | 14 | 13.97 | 4.18 | 17.09 | 28.55 | |
2015 | 1 | 10.21 | 13 | 11.2 | 3.48 | 16.86 | 25.97 | |
2015 | 2 | 23.5 | 13 | 10.88 | 3.47 | 16.77 | 26.33 | |
2015 | 3 | 12.59 | 13 | 10.77 | 3.76 | 16.9 | 26.61 | |
2015 | 4 | 24.24 | 13 | 10.23 | 3.6 | 15.95 | 26.41 | |
2015 | 5 | 10.43 | 13 | 10.03 | 3.6 | 16.08 | 26.43 | |
2015 | 6 | 10.85 | 13 | 9.95 | 3.6 | 17.24 | 26.84 | |
2015 | 7 | 7.79 | 13 | 10 | 3.63 | 17.3 | 27.03 | |
2015 | 8 | 33.26 | 13 | 10 | 3.63 | 17.29 | 27.01 | |
2015 | 9 | 8.12 | 13 | 10.36 | 3.72 | 17.02 | 26.99 | |
2015 | 10 | 3.22 | 13 | 9.11 | 3.71 | 16.84 | 27.01 | |
2015 | 11 | 0.84 | 11 | 5.62 | 3.47 | 16.98 | 27.02 | |
2015 | 12 | 0.77 | 11 | 4.57 | 3.33 | 16.96 | 26.84 | |
2014 | 1 | 10 | 12 | 10.81 | 3.27 | 16.95 | 25.52 | |
2014 | 2 | 10.5 | 12 | 11.82 | 3.26 | 16.93 | 25.83 | |
2014 | 3 | 10.5 | 12 | 11.92 | 3.38 | 16.69 | 25.8 | |
2014 | 4 | 10.5 | 12 | 11.26 | 3.42 | 16.7 | 25.63 | |
2014 | 5 | 10.63 | 12 | 10.13 | 3.41 | 16.5 | 25.76 | |
2014 | 6 | 10.5 | 12 | 9.98 | 3.42 | 16.5 | 26.07 | |
2014 | 7 | 10.5 | 12 | 9.88 | 3.41 | 16.44 | 26.07 | |
2014 | 8 | 11.91 | 12 | 9.95 | 3.24 | 16.6 | 25.07 | |
2014 | 9 | 10.73 | 12 | 9.75 | 3.43 | 16.44 | 25.77 | |
2014 | 10 | 10.98 | 12 | 9.83 | 3.43 | 16.48 | 25.75 | |
2014 | 11 | 8.98 | 13 | 9.82 | 3.43 | 16.47 | 25.74 | |
2014 | 12 | 24.3 | 13 | 10.8 | 3.46 | 15.88 | 25.91 |
YEAR | FIRST BANK | GTB | UBA | ZENITH | ACCESS BANK |
---|---|---|---|---|---|
2014 | 11,258,118 | 5,053,387 | 46,293,166 | 9,034,780 | 3,697,221 |
2015 | 31,066,966 | 12,174,536 | 72,767,868 | 6,256,364 | 12,164,132 |
2016 | 78,928,707 | 19,733,974 | 70,756,000 | 8,120,000 | 17,807,000 |
2017 | 17,764,318 | 25,285,350 | 252,003,98 | 9,605,000 | 40,216,000 |
2018 | 62,470,986 | 38,661,271 | 255,944,97 | 7,772,000 | 30,579,000 |
2019 | 27,606,200 | 25,505,000 | 273,074,59 | 10,048,000 | 80,321,000 |
2020 | 55,784,079 | 82,271,000 | 368,282,47 | 30,072,000 | 100,432,895 |
2021 | 132,196,061 | 117,291,00 | 210,300,28 | 25,840,000 | 109,987,000 |
2022 | 228,322,12 | 207,834,00 | 228,609,55 | 20,722,000 | 142,698,000 |
2023 | 211,982,604 | 173,500,86 | 288,761,27 | 21,104,000 | 90,435,964 |
[1] | Adepoju, A. A., Austin, O. C., & Nwachukwu, C. (2019). Money market efficiency and the development of Nigerian financial system. Management Strategies, 12(2), 18-26. |
[2] | Afiemo, O. O. (2013). The Nigerian money market. Understanding Monetary Policy Series, 15(27), 10-23. |
[3] | Agbada, O. A. & Osuji, C. C. (2013). The efficacy of liquidity management and banking performance in Nigeria. International Review of Management and Business Research, 2(1), 2306-9007. |
[4] | Akosah, N. K., Alagidede, I. P., & Schaling, E. (2021). Dynamics of money market interest rates in Ghana: Time-frequency analysis of volatility spillovers. South African Journal of Economics, 89(4), 555-589. |
[5] | Alaeddini, M., Madiès, P., Reaidy, P. J., & Dugdale, J. (2023). Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature. Journal of Economic Surveys, 37(2), 573-654. |
[6] | Archibong, E. U., Nwude, C. A., & Nwude, E. C. (2022). The impact of monetary policy on interbank market rate: Evidence from the Nigerian banking industry. Social Science Journal for Advanced Research, 2(4), 31-41. |
[7] | Ayebaemi, A. E. & Francis, E. A. (2018). Money market instruments and growth of the Nigerian economy: An empirical analysis. Pakistan Journal of Humanities and Social Sciences, 6(1), 30-43. |
[8] | Babarinde, G. F., Popoola, O. T., Abdulmajeed, T. I., &Mohammed, H. K. (2021). Money market and the Nigerian economy (1981-2018): Empirical evidence from FMOLS and granger causality. African Journal of Accounting and Financial Research, 4(1), 64-83. |
[9] | Caballero, J., Fernández, A., & Park, J. (2019). On corporate borrowing, credit spreads and economic activity in emerging economies: An empirical investigation. Journal of International Economics, 118(53), 160-178. |
[10] | Croce, M. M., Nguyen, T. T., Raymond, S., & Schmid, L. (2019). Government debt and the returns to innovation. Journal of Financial Economics, 132(3), 205-225. |
[11] | Dzapasi, F. D. (2020). The impact of liquidity management on bank financial performance in a subdued economic environment: A case of the Zimbabwean banking industry. PM World Journal, 9(1), 1-20. |
[12] | Egbide B. (2009). Working capital management and profitability of listed companies in Nigeria; Nigeria Research Journal of Accountancy (NRJA) 1(1), 44-53. |
[13] | Ekmekcioglu, E. (2013). Role of financial markets in a global economy and the concept of uncertainty, International Journal of Academic Research in Economics and Management Sciences, 2(4), 199-206. |
[14] | Egugbo, R. U. (2018). Effect of liquidity management on deposit money banks performance in Nigeria, Journal of Managerial Review, 10(4), 1–9. |
[15] | Fry, M. J. (1988). Money and capital or financial deepening in economic development. Journal of Money, Credit and Banking, 10(4), 464-475. |
[16] | Ikpefan O. A. & Osabuohien, E. (2012). Discount houses, money market, and economic growth in Nigeria (1992-1997). Economic Insights-Trends and Challenges, 1(3), 19-30. |
[17] | Ishola, O. P., Oni, A. S., & Kolapo, M. B. (2021). Impact of money market instruments on economic growth in Nigeria. International Journal of Social Science and Human Research, 4(4), 689-697. |
[18] | Isibor, A. A., Adetiloye, K. A., Olokoyo, F. O., Adesina, T. F., Akinjare, V. A., & Udume, M. E. (2022). Achieving sustained performance in the Nigerian oil and gas sector despite exchange rate fluctuations: A VAR approach. International Journal of Energy Economics and Policy, 12(3), 341-351. |
[19] | Isibor, A. A., Alexander, O., Benjamin, E., Godswill, O., Adenike, O., Adedoyin, B., and Kikiyanu, A. (2023). Achieving sustainable economic growth in sub-Saharan Africancountries using the tool of monetary policy effectiveness. Journal of Central Banking Theory and Practice, 12(3), 111-132. |
[20] | Isibor, A. A., Ehikioya, B. I., Mercy, A., Awogbenja, B. B., & Adedoyin, B. (2023). Carbon disclosure, board climate governance and financial performance of listed manufacturing firms in Nigeria. International Journal of Energy Economics and Policy, 13(4), 187-193. |
[21] | Isibor, A. A., Ikpefan, O. A. & Okafor, T. C. (2016). Impact of money market on the liquidity of some selected quoted banks in Nigeria. International Business Management Journal, 10(5): 646-651. |
[22] | Isibor, A. A., Omankhanlen, A. E., Mathias, C. M., Komolafe, D. T., & Okereke, Y. K. (2020). The impact of credit risk management and macroeconomic variables on bank performance in Nigeria. WSEAS Transactions on Business and Economics, 17(94), 947-955. |
[23] | Kehinde, J. S. & Adejuwon K. D (2011). Financial institution as a catalyst to economic development: The Nigerian experience. European Journal of Humanities and Social Sciences. 8(1), 322-324. |
[24] | Khatun, N. (2021). Applications of normality test in statistical analysis. Open journal of statistics, 11(01), 113 - 120. |
[25] | Lian, C., Ma, Y., & Wang, C. (2019). Low interest rates and risk-taking: Evidence from individual investment decisions. The Review of Financial Studies, 32(6), 2107-2148. |
[26] | Maccido, S. M. (2021). Liquidity management and profitability of listed financial institutions on the Nigerian stock exchange, Journal of Statistics and Management, 12(1), 24-33. |
[27] | Mohamed, J. (2020). Time series modeling and forecasting of Somaliland consumer price index: a comparison of ARIMA and regression with ARIMA errors. American Journal of Theoretical and Applied Statistics, 9(4), 143-153. |
[28] | Ndugbu, M. O., Duruechi, A. H., & Ojiegbe, J. N. (2016). Money market instruments and bank performance in Nigeria. Journal of Economics and Sustainable Development, 7(10), 95- 104. |
[29] | Omankhanlen, A. E., Ilori, N., & Isibor, A. A. (2021). Monetary policies and the achievement of bank profit objective. Journal of Central Banking Theory and Practice, 2(1), 201-220. |
[30] | Schwert, M. (2020). Does borrowing from banks cost more than borrowing from the market? The Journal of Finance, 75(12), 905-947. |
[31] | Tasie, C. Ejiogu, I. & and Chimaobi, I. (2024). Impact of liquidity management on the performance of selected deposit money banks in Nigeria (2015-2022). International Journal of Management Sciences. 12(1), 1-7. |
[32] | Tsintop, U. D. & Bala, T. T. (2023). The impact of money market activities on the economic growth of Nigeria. FUW –International Journal of Management and Social Sciences. 8(2), 1-6. |
[33] | Uruakpa, N. I., Kalu, U. E., & Ufomadu, O. A. (2019). Impact of financial inclusion on economic growth of Nigeria, Journal of Management Review, 8(3), 1-10. |
[34] | Wang, Z., Akbar, M., & Akbar, A. (2020). The interplay between working capital management and a firm’s financial performance across the corporate life cycle. Sustainability, 12(4), 1661. |
APA Style
Okoh, J. I., Areghan, I., Felicia, O., Benjamin, E., Folasade, A., et al. (2025). Impact of Money Market on the Liquidity of Some Selected Quoted Banks in Nigeria. Journal of Finance and Accounting, 13(1), 14-28. https://doi.org/10.11648/j.jfa.20251301.12
ACS Style
Okoh, J. I.; Areghan, I.; Felicia, O.; Benjamin, E.; Folasade, A., et al. Impact of Money Market on the Liquidity of Some Selected Quoted Banks in Nigeria. J. Finance Account. 2025, 13(1), 14-28. doi: 10.11648/j.jfa.20251301.12
@article{10.11648/j.jfa.20251301.12, author = {Jude Idemudia Okoh and Isibor Areghan and Olokoyo Felicia and Ehikioya Benjamin and Adegboye Folasade and Adesina Tolulope and Taiwo Omoyin}, title = {Impact of Money Market on the Liquidity of Some Selected Quoted Banks in Nigeria}, journal = {Journal of Finance and Accounting}, volume = {13}, number = {1}, pages = {14-28}, doi = {10.11648/j.jfa.20251301.12}, url = {https://doi.org/10.11648/j.jfa.20251301.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfa.20251301.12}, abstract = {The issue of bank failure due to low level of liquidity has been an age-long challenge bedeviling the Nigerian banking sector. Hence, this study examined the linkage between money market and the liquidity of some selected quoted banks in Nigeria. Specifically, the study assessed the impact of deposit money banks’ working capital on savings deposits in Nigeria, and it also investigated how the interbank call rate influences monetary policy rate in Nigeria. The research used secondary data from 2014 till 2023 of five (5) selected banks including First Bank PLC, Guaranteed Trust Bank, Zenith Bank, United Bank for Africa PLC, and Access Bank PLC for its analyses. Findings showed that, first, there was a significant and positive relationship between savings deposit rates and working capital, and secondly, monetary policy rate does not have a statistically significant impact on the interbank call rate. The study thus recommended that as savings deposit rates significantly influence working capital, policymakers should focus on mechanisms that stabilize these rates to ensure consistent liquidity conditions. The study further recommended that understanding the differential impact of various financial indicators on bank liquidity can help policymakers design more targeted and effective monetary policies. For instance, if savings deposit rates significantly influence working capital, policymakers should focus on mechanisms that stabilize these rates to ensure consistent liquidity conditions.}, year = {2025} }
TY - JOUR T1 - Impact of Money Market on the Liquidity of Some Selected Quoted Banks in Nigeria AU - Jude Idemudia Okoh AU - Isibor Areghan AU - Olokoyo Felicia AU - Ehikioya Benjamin AU - Adegboye Folasade AU - Adesina Tolulope AU - Taiwo Omoyin Y1 - 2025/02/10 PY - 2025 N1 - https://doi.org/10.11648/j.jfa.20251301.12 DO - 10.11648/j.jfa.20251301.12 T2 - Journal of Finance and Accounting JF - Journal of Finance and Accounting JO - Journal of Finance and Accounting SP - 14 EP - 28 PB - Science Publishing Group SN - 2330-7323 UR - https://doi.org/10.11648/j.jfa.20251301.12 AB - The issue of bank failure due to low level of liquidity has been an age-long challenge bedeviling the Nigerian banking sector. Hence, this study examined the linkage between money market and the liquidity of some selected quoted banks in Nigeria. Specifically, the study assessed the impact of deposit money banks’ working capital on savings deposits in Nigeria, and it also investigated how the interbank call rate influences monetary policy rate in Nigeria. The research used secondary data from 2014 till 2023 of five (5) selected banks including First Bank PLC, Guaranteed Trust Bank, Zenith Bank, United Bank for Africa PLC, and Access Bank PLC for its analyses. Findings showed that, first, there was a significant and positive relationship between savings deposit rates and working capital, and secondly, monetary policy rate does not have a statistically significant impact on the interbank call rate. The study thus recommended that as savings deposit rates significantly influence working capital, policymakers should focus on mechanisms that stabilize these rates to ensure consistent liquidity conditions. The study further recommended that understanding the differential impact of various financial indicators on bank liquidity can help policymakers design more targeted and effective monetary policies. For instance, if savings deposit rates significantly influence working capital, policymakers should focus on mechanisms that stabilize these rates to ensure consistent liquidity conditions. VL - 13 IS - 1 ER -