scholarly journals Interest Rate Deregulation and Performance of Deposit Money Banks: Time Series Evidence from Nigeria

Author(s):  
Awa Michael Uduma ◽  

This work investigated the relationship between interest rate deregulation and performance of Nigerian deposit money banks for the period 1996-2018. Interest rate deregulation was disaggregated into prime lending rate, maximum lending rate, 3-months deposit rate and over 12-months deposit rate while return on assets (ROA) was used as a proxy for deposit money banks’ performance. Data on the above variables were sourced from the Central Bank of Nigeria Statistical Bulletin (2018 edition) and the World Bank data base. The data were tested for stationarity using the Dickey-Fuller (D-F) test, for long-run relationship using Bound’s co-integration test, and for reliability of ARDL results using serial correlation, heteroscedasticity and normality tests. The results of the tests revealed that all the variables were integrated of order zero or one, and that a long-run relationship exists between the variables. Consequently, ARDL model for parameter estimation process revealed that only prime lending rate was positively related to ROA of banks while none of the explanatory variables was statistically significant. The researcher then submitted that there is no significant relationship between interest rate deregulation and the performance of Nigerian deposit money banks for the period considered. Hence, deposit money banks should strive to mobilize adequate savings from surplus spenders by offering them deposit rates that are capable of inducing savers to increase their savings and boost the availability of loanable funds. Also, there is urgent need to restructure the Nigerian financial system whereby policies by the monetary authorities will achieve pre-determined goals. In essence, to make interest rate policies meaningful, there is need to curtail financial transactions that escape the banking system.

2020 ◽  
Vol 5 (Special) ◽  
pp. 82-93
Author(s):  
Osagie Osifo ◽  
Esther Ikavbho Evbayiro-Osagie

Foreign diversification offers prospective market opportunities which afford firms prospects for greater growth and penetration of global markets. This study investigated the effect of foreign diversification on performance of quoted deposit money banks in selected Sub-Sahara African countries; Botswana, Ghana, Kenya, Malawi, Mauritius, Namibia, Nigeria, South Africa, Uganda, Zimbabwe and Zambia. The study employs secondary data collected and computed from sampled deposit money banks annual audited financial statements. Employing the use of descriptive statistics, correlation analysis, panel unit root analysis, co-integration test, multivariate panel data analysis and the system- GMM for a period of 2007 – 2017, the data were estimated with the aid of Eviews 9.0 econometric statistical package. Using dependent variables (Net interest margin and Tobin Q), explanatory variables of foreign diversification, bank’s size and bank’s age respectively. The findings revealed that foreign diversifications have negative and significant effect on all the performance indicators (NIM and TOBIN Q) used in the study. The explanatory variable (foreign diversification) was significant at 1% significance level. The findings from robustness check showed that the coefficients of foreign diversification are also largely negative for most of the banks. This study therefore recommends, amongst others, banks should consider diversification as a long run strategy for promoting growth and other forms of expansions. This can be achieved by promoting more regional banking integration within the sub-region. Given that formalities are already on the ground to facilitate entry and establishment within economies in the regional blocs, diversification in this direction will involve less institutional obstacles


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Moses Nzuki Nyangu ◽  
Freshia Wangari Waweru ◽  
Nyankomo Marwa

PurposeThis paper examines the sluggish adjustment of deposit interest rate categories with response to policy rate changes in a developing economy.Design/methodology/approachSymmetric and asymmetric error correction models (ECMs) are employed to test the pass-through effect and adjustment speed of deposit rates when above or below their equilibrium levels.FindingsThe findings reveal an incomplete pass-through effect in both the short run and long run while mixed results of symmetric and asymmetric adjustment speed across the different deposit rate categories are observed. Collusive pricing arrangement behavior is supported by deposit rate categories that adjust more rigidly upwards than downwards, while negative customer reaction behavior is supported by deposit rate categories that adjust more rigidly downwards than upwards.Practical implicationsEven though the findings indicate an aspect of increased responsiveness over the period, the sluggish adjustment of deposit rates imply that monetary policy is still ineffective and not uniform across the different deposit rate categories.Originality/valueTo the best of the authors' knowledge, this is the first study to empirically examine both symmetric and asymmetric adjustment behavior of deposit interest rate categories in Kenya. The findings are key to policy makers as they provide insights on how long it takes to adjust different deposit rate categories to monetary policy decisions. In addition, the behavior of deposit rates partly explains why interest rates capping was imposed in Kenya in 2016.


2017 ◽  
Vol 9 (8) ◽  
pp. 40
Author(s):  
Donald A. Otieno ◽  
Rose W. Ngugi ◽  
Nelson H. W. Wawire

Debate on the stochastic behaviour of stock market returns, 3-month Treasury Bills rate, lending rate and their cointegrating residuals remains unsettled. This study examines the stochastic properties of the macroeconomic variables, stock market returns and their cointegrating residuals using an Autoregressive Fractionally Integrated Moving Average (ARFIMA) model. It also investigates Granger causality between the two measures of interest rate and stock market returns. The study uses monthly data from 1st January 1993 to 31st December 2015. The results indicate that the 3-month Treasury Bills rate, lending rate and stock market returns are fractionally integrated which implies that shocks to the variables persist but eventually disappear. The results also reveal that the cointegrating residuals are fractionally integrated which suggests that a new and harmful long-run equilibrium might be established when each of the measures of interest rate is driven away from stock market returns. Additionally, the results indicate that the 3-month Treasury Bills rate and lending rate negatively Granger cause stock market returns in the long run. This suggests that stocks and Treasury Bills are competing investment assets. On the other hand, ARFIMA-based Granger causality reveals that stock market returns lead the 3-month Treasury Bills rate and lending rate with a negative sign in the short run. This implies that a prosperous stock market results into a favorable macroeconomic environment. A key contribution of this study is that it is the first to empirically examine fractional cointegration and ARFIMA-based Granger Causality between interest rate and stock market returns in Kenya.


2019 ◽  
Vol 5 (1) ◽  
pp. 1-9
Author(s):  
Idachaba Odekina Innocent ◽  
Olukotun G. Ademola ◽  
Elam Wunako Glory

The aim of this study is to examine the influence of bank credits on the Nigerian economy using time series data covering the period from 1980 to 2017.Gross domestic product was used as proxy for the economy while credits to the private sector, public sector and prime lending rate were used as proxies of Banks credits. Unit root test was used to test stationary which reveals that all the variables were stationary at first difference. The regression analysis result shows that credit to the private sector have positive effect on Nigerian economy while credit to public sector and prime lending rate have negative effect on the Nigerian economy. The result of co-integration test presented reveals that there exist among the variables co-integration which means long-run analysis. It is recommended that, policy makers should focus attention on long-run policies to promote economic growth such as development of modern banking sector, efficient financial market, infrastructures.


2020 ◽  
Vol V (III) ◽  
pp. 22-33
Author(s):  
Ghulam Yahya Khan ◽  
Muhammad Masood Anwar ◽  
Aftab Anwar

This study explores the nexus amongst trade openness and economic growth for Pakistan for 1981-2019. Trade-openness is a dependent variable, and it is measured as imports plus exports to GDP ratio. Economic growth, Foreign Direct Investment, Inflation, Exchange rate, and interest rate are taken as explanatory variables. Co-integration approach by Johansen and Juselius (1988, 1991) has been used for long-run relationships. Results indicate that Trade-Openness has significantly affected the economic growth and other control variables of the study for Pakistan. There exist bidirectional Granger Causality in the selected variables.


2020 ◽  
Vol V (IV) ◽  
pp. 24-33
Author(s):  
Ghulam Yahya Khan ◽  
Muhammad Masood Anwar ◽  
Aftab Anwar

This study explores the nexus amongst trade openness and economic growth for Pakistan for 1981-2019. Trade-openness is a dependent variable, and it is measured as imports plus exports to GDP ratio. Economic growth, Foreign Direct Investment, Inflation, Exchange rate, and interest rate are taken as explanatory variables. Co-integration approach by Johansen and Juselius (1988, 1991) has been used for long-run relationships. Results indicate that Trade-Openness has significantly affected the economic growth and other control variables of the study for Pakistan. There exist bidirectional Granger Causality in the selected variables.


Author(s):  
Aloysius Deno Hervino

This research aimed to estimate the short run and long run (steady state) model on credit market, which influenced on risk hindering behavior by debtor, and taking banking regulation into model as a shock. Analyzing on investment credit market is related with asymmetric information problem and dynamic decision. This research was using Autoregressive Distributed Lag Error Correction Model (ARDL-ECM) to analyze this behavior because all variables were integrated on different level. In the short run, the debtor behaviors is only influenced by real interest rate on rupiah working capital, and in the long run his behavior influenced by real interest rate on rupiah working capital, and expected on real national income. But debtor behavior do not influence by real interest rate on rupiah investment credit in short and long run. Banking regulation do not influence the investment credit risk hindering behavior on debtor. On average, every change in explanatory variables need 24 days by debtor to adjust his behavior on investment credit market.


2017 ◽  
Vol 14 (1) ◽  
pp. 114
Author(s):  
Aloysius Deno Hervino

This research aimed to estimate the short run and long run (steady state) model on credit market, which influenced on risk hindering behavior by debtor, and taking banking regulation into model as a shock. Analyzing on investment credit market is related with asymmetric information problem and dynamic decision. This research was using Autoregressive Distributed Lag Error Correction Model (ARDL-ECM) to analyze this behavior because all variables were integrated on different level. In the short run, the debtor behaviors is only influenced by real interest rate on rupiah working capital, and in the long run his behavior influenced by real interest rate on rupiah working capital, and expected on real national income. But debtor behavior do not influence by real interest rate on rupiah investment credit in short and long run. Banking regulation do not influence the investment credit risk hindering behavior on debtor. On average, every change in explanatory variables need 24 days by debtor to adjust his behavior on investment credit market.


Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 11
Author(s):  
Afsin Sahin

This paper analyzes the effects of the real policy interest rate on the banking sector lending rate, the deposit rate, real stock prices, and the real exchange rate using the Engle Granger cointegration method (EG), the vector error-correction model (VECM), and the nonlinear vector error-correction model (NVECM) with monthly Turkish data over the period January 2002–April 2018. (1) EG results indicate bivariate cointegration relationships between the real interest rate, lending rates, and the deposit rate. The real interest rate increases all lending rates, mainly the housing rate. However, the long-run coefficient for the real exchange rate is not statistically significant. The pass-through is higher for the deposit rate than for lending rates. Moreoever, real stock prices shrink substantially where the finance sector has been affected the most. (2) VECM results indicate a cointegration relationship between all the variables except for the real exchange rate, which has a statistically non-significant pass-through coefficient. The real interest rate has a noteworthy long-run positive effect on the housing loans lending rate compared to others. The affirmative effect on real stock prices is the highest for the technology sector. The short-run effect of the real interest rate on lending rates, real stock prices and the real exchange rate are statistically non-significant except for the overall stock price index, and the vehicle loans lending rate which has a higher coefficient than the deposit rate. (3) NVECM results allow testing of eleven hypotheses and highlight the symmetric relationship and the valid pass-through effect, and reject the strong exogeneity assumption for all variables.


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