Money Supply and Private Sector Funding in Nigeria: A Multi-Variant Study

2020 ◽  
Vol 4 (1) ◽  
pp. 24-41
Author(s):  
Zaagha Alexander Sulaiman
Keyword(s):  
Private Sector ◽  
Central Bank ◽  
Interest Rates ◽  
Money Supply ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Medium Scale ◽  
Integration Test ◽  
Causality Tests

This study examined the effect of money supply on private sector funding in Nigeria. The purpose of the study was to examine the extent to which monetary policy affect private sector funding in Nigeria. Time series data was sourced from Central Bank of Nigeria Statistical Bulletin from 1985-2018. Credit to private sector, credit to core private sector and credit to small and medium scale enterprises sector was used as dependent variables while narrow money supply, broad money supply, large money supply, private sector demand deposit was used as independent variables. Ordinary Least Square (OLS), Augmented Dickey Fuller Test, Johansen Co-integration test, normalized co-integrating equations, parsimonious vector error correction model and pair-wise causality tests were used to conduct the investigations and analysis. The empirical findings revealed that money supply explains 82.1 percent variation on credit to core private sector, 85.2 percent and 23.4 percent of the variation in credit to private sector and credit to small and medium scale enterprises sector. The study conclude that money supply has significant relationship with credit to private sector, credit to core private sector and credit to small and medium scale enterprises sector. From the findings, the study recommends that Central Bank of Nigeria should induce the variations of the amount of money changes through the nominal interest rates. That the monetary authorities should ensure adequate quantity of money supply that positively affect private sector funding in Nigeria.

scholarly journals Deposit Money Bank Policy and Private Sector Funding: A Multi-Dimensional Study from Nigeria

2020 ◽  
Vol 4 (1) ◽  
pp. 18-35
Author(s):  
Zaagha Alexander Sulaiman ◽  
Murray Monday Ebike
Keyword(s):  
Rural Communities ◽  
Private Sector ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Vector Error Correction ◽  
Medium Scale ◽  
Integration Test ◽  
Augmented Dickey Fuller ◽  
Causality Tests

This study empirically examined the effect of deposit money banks policy on private sector funding in Nigeria. Time series data was sourced from Central Bank of Nigeria Statistical Bulletin from 1985-2018. Credit to private sector, credit to core private sector and credit to small and medium scale enterprises was used as dependent variables while liquidity ratio and loan to deposit ratio was used as independent variables. Ordinary Least Square (OLS), Augmented Dickey Fuller Test, Johansen Co-integration test, normalized co-integrating equations, parsimonious vector error correction model and pair-wise causality tests were used to conduct the investigations and analysis. The empirical findings revealed that deposit money banks policy explains 40.8 percent variation on credit to core private sector, 28.1 percent and 58.9 percent of the variation in credit to core private sector and credit to small and medium scale enterprises sector.  The study conclude that deposit money banks policy has no significant relationship with credit to private sector and credit to core private sector but has significant relation with credit to small and medium scale enterprises sector. From the findings, the study recommends compliance to deposit money banks policies; this will enhance effective financial intermediation and increase funding of the private sector. There is also need for the regulatory authorities to harmonize the various deposit money banks policies with the objective of enhancing private sector funding. There is need to decentralize the operation of the deposit money banks in the urban cities. Policies should be formulated to extend the operation of the deposit money banks to the rural communities, this will enable the institutions to mobilize much deposit and increase credit to the private sector.

scholarly journals Analysis of Effect Macro Variable on International Trade of Indonesia

2016 ◽  
Vol 6 (2) ◽  
pp. 228
Author(s):  
Evania Rahma Octavia ◽  
Dwi Wulandari
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Price Index ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Series Data ◽  
The Exchange Rate ◽  
Macro Variables

This study aims to determine the effect of macro variables which include Indonesia's real gross domestic income, money supply, consumer price index and interest rates on international trade mediated by the exchange rate of rupiah against the dollar. This type of research is descriptive research with quantitative approach. Determination of the sample based on quarterly time series data 2010-2014. This study uses path analysis. The results showed domestic gross product, the money supply, and interest rates together  have a significant effect on the exchange rate but the consumer price index do not have significant effect on the exchange rate. The results also show that the exchange rate has no significant effect on imports and exports. 

scholarly journals Influence of Bank Credits on the Nigerian Economy

2019 ◽  
Vol 5 (1) ◽  
pp. 1-9
Author(s):  
Idachaba Odekina Innocent ◽  
Olukotun G. Ademola ◽  
Elam Wunako Glory
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Banking Sector ◽  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Long Run ◽  
Integration Test ◽  
Lending Rate ◽  
Negative Effect

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.

scholarly journals Do the Monetary Policy Makers Follow Rules? Testing Taylor’s Rule for Nepal

2019 ◽  
Vol 42 (1-2) ◽  
pp. 34-42
Author(s):  
Khagendra Katuwal
Keyword(s):  
Interest Rate ◽  
Central Bank ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Least Square Method ◽  
Least Square ◽  
Series Data ◽  
Output Gap ◽  
Treasury Bills ◽  
Augmented Dickey Fuller

The study estimates Taylor’s rule for Nepal by using the annual time series data for the period of 1988-2018. As a requirement of Taylor's rule, the output gap has been estimated by using Hodric-Perscott filter. Consumer price index has been used as measure of inflation and 91-days treasury bills rate is taken as the proxy for the short-term interest rate set by central bank of Nepal. The ordinary least square method has been used to estimate the Taylor's equation The results show that. As Augmented Dickey-Fuller test shows that all  the variables used in this study are in level form. The results show that there is a positive relationship of T-bills rule with inflation output gap. Interest rate smoothing is found to be a major concern of central bank of Nepal but follows the Taylor’s rule partially.

scholarly journals Total Imports and Its Components Influence on Inflation in Kenya

2020 ◽  
pp. 54-62
Author(s):  
Evans Ovamba Kiganda ◽  
Margaret Atieno Omondi
Keyword(s):  
Time Series ◽  
Correlation Analysis ◽  
Central Bank ◽  
Granger Causality ◽  
Time Series Data ◽  
Negative Influence ◽  
Variance Decomposition ◽  
Series Data ◽  
Causality Tests ◽  
Granger Causality Tests

Aim: The purpose of this study was to analyze the influence of total imports (TIMP) and its components of commercial imports (CIMP) and government imports (GIMP) on inflation in           Kenya. Study Design: Quantitative approach was employed to analyze the influence of imports on inflation in Kenya. Methodology: Monthly time series data from Central Bank of Kenya for the period 2005 to 2018 was used for analysis involving correlation analysis, variance decomposition, impulse response and Granger causality tests. Results: Results indicated that total imports and commercial imports had negative influence on inflation while government imports did not significantly influence inflation in Kenya. Unidirectional causality from total imports and commercial imports to inflation was noted while there was no causality between government imports and inflation. Conclusion: The study concluded that imports influence inflation in Kenya but commercial imports highly determined total imports influence on inflation in Kenya.

scholarly journals Macroeconomic variables and banking sector development: Evidence from Nigeria

2020 ◽  
Vol 8 ◽  
pp. 288-301
Author(s):  
Ojo Johnson Adelakun ◽  
Babatunde Afolabi ◽  
Uwasejike B Abuh
Keyword(s):  
Interest Rates ◽  
Money Supply ◽  
Banking Sector ◽  
Time Series Data ◽  
Oil Price ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Banking Sector Development ◽  
Bound Test

The study assessed the relationship between Macroeconomic Variables and Development in the Nigerian Banking Sector using annual time series data. Models were specified using Ratio of Credits to Private Sector to Gross Domestic Product (GDP) as a proxy for Banking Sector Development. At the same time, GDP growth rate, Poverty, Exchange Rate, Oil Price, Poverty, Money Supply, Inflation, and Interest rates were the selected Macroeconomic Variables used in the study. Data used were sourced from the Statistical Bulletin of Central Bank of Nigeria (CBN) for various editions and estimated using ARDL Bound Test and Vector Error Correction Mechanism (VECM). The study found that there exists a long-run relationship between Macroeconomic Variables selected and Banking Sector Development. The VECM coefficients revealed that all variables except Interest Rates have negative effects on Banking Sector Development. The VECM (-1), which showed the speed of adjustment, was rightly signed and significant, indicating a long-run causality relationship running from macroeconomic variables to banking sector development. The Impulse response from restricted VAR revealed that Banking Sector responded to the Macroeconomic Variables of which GDPGR and INT were transmitting negatively to Banking Sector Development while others were transmitting positive impulses. However, the variance decomposition found that oil price, followed by GDPGR and poverty, caused more variation in Banking Sector Development. In contrast, inflation and money supply caused the least variation in Banking Sector Development. The study, therefore, concluded that selected Macroeconomic Variables have a significant long-run relationship with Banking Sector Development. It is therefore recommended, among others that, Macroeconomic indicators should be well monitored and controlled using macroeconomic instruments promptly since when they are well managed would lead to a better developed Banking Sector in Nigeria.

scholarly journals Monetary Policy and Nigeria’s Economy: An Impact Investigation

2017 ◽  
Vol 9 (11) ◽  
pp. 218
Author(s):  
Micheal Chidiebere Ekwe ◽  
Amah Kalu Ogbonnaya ◽  
Cordelia Onyinyechi Omodero
Keyword(s):  
Monetary Policy ◽  
Private Sector ◽  
Central Bank ◽  
Money Supply ◽  
Substantial Reduction ◽  
Bank Lending ◽  
Series Data ◽  
Major Objective ◽  
Lending Rate ◽  
The Impact

The major objective of this study is to empirically analyze the impact of monetary policy on the economy of Nigeria. To achieve this major objective, the study made use of broad money supply (M2) and credit to the private sector (CPS) as the independent variables explaining the dependent variable which is the Gross Domestic Product (GDP). The time series data employed cover the period of 1996 to 2016 and have been collected from the Central Bank of Nigeria Statistical Bulletin. The statistical tool used in this study is the multi regression and student t-test with the aid of statistical package for social sciences (SPSS) to analyze the impact of the individual explanatory variables on the economy. The result indicates that the monetary policy in Nigeria does not have significant impact on the economy. At 5% level of significance, the broad money supply (M2) is 0.36 > 0.05 while the CPS shows 0.22 > 0.05. The result proves that the broad money supply has not been properly regulated and the bank lending rate to the private sectors so high that the economy has been adversely affected. The study therefore, recommends that the Central Bank of Nigeria should put every machinery in place to ensure that the monetary policy is geared towards economic growth through substantial reduction of bank lending rate to the private sector and proper regulation of broad money supply.

scholarly journals Assessment of the Determinants of Balance of Payment in Tanzania

2021 ◽  
Vol 4 (1) ◽  
pp. 62-75
Author(s):  
Magreth Exuper Kingia ◽  
Seif Muba
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Diagnostic Tests ◽  
Time Series Data ◽  
Unit Root Test ◽  
Negative Influence ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square Regression ◽  
The Interest Rate

The purpose of the study was to assess the determinants of the balance of payment in Tanzania. The nature of this study was quantitative where secondary time series data covering a period of thirty-one years between 1990 and 2020 were collected. The study performed descriptive statistics and diagnostic tests such as normality test, unit root test for stationarity, Pearson’s Correlation matrix to check if there is a multicollinearity problem in the data. The diagnostic tests revealed that the data bring unbiased results, therefore the ordinary least square regression was performed and we found that foreign direct investment and inflation rate have a negative and significant influence on the balance of payment, whereas exchange rate has a positive and insignificant influence on the balance of payment, and the interest rate has an insignificant negative influence on the balance of payment. Finally, we recommend that a country have to introduce relative prices of imports in order to improve the inflows of FDI in order to have a favourable balance of payment in a country like Tanzania. Also, Tanzania's central bank must be cautious in its monetary policy and take some beneficial steps to regulate the money supply. To attract the new internal investor, it must keep an eye on interest rates and charge a low-interest rate.

scholarly journals SMALL AND MEDIUM-SCALE ENTERPRISE FINANCING AND INDUSTRIAL GROWTH IN AFRICA

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Uju Regina Ezenekwe ◽  
Amaka G. Metu ◽  
Chekwube Vitus Madichie
Keyword(s):  
Interest Rates ◽  
Time Series Data ◽  
Negative Impact ◽  
Series Data ◽  
Easy Access ◽  
Microfinance Institutions ◽  
Access To Finance ◽  
Industrial Growth ◽  
Medium Scale ◽  
The Impact

Small and medium-scale enterprises (SMEs) have been identified as the engine and foundation of rapid industrial growth. Unfortunately, the potentials of the SMEs to accelerate the process of industrialization in Africa have been undermined by numerous constraints, prominent among which is lack of access to finance. The study examined the impact of SMEs financing on industrial growth in Africa using panel time-series data from all the 15 ECOWAS countries from 1986 – 2016. In implementing the panel data regression, the study engaged in panel unit root using the LLC, IPM, Fisher-type ADF and PP tests, and co-integration tests using the Kao residual-based and Johansen- Fisher combined tests. The study also placed adequate control for any unobserved heterogeneity among the ECOWAS countries, using a well-specified fixed effect in exploiting the time dimension present in the dataset. The result shows that SMEs output significantly affects industrial growth positively while the Deposit Money Banks’ credit to SME’s do not have significant impact on industrial performance during the review period. The result further reveals that interest rates have a significant negative impact on industrial growth. Based on these findings, the study recommends that monetary authorities in ECOWAS countries can encourage easy access to finance by making available interest-free loans using microfinance institutions.

scholarly journals ANALISIS PENGARUH VARIABEL MAKRO EKONOMI TERHADAP INVESTASI ASING LANGSUNG (STUDY KASUS CHINA-INDONESIA).

2017 ◽  
Vol 6 (2) ◽  
pp. 103
Author(s):  
Ririn Martini Rezki ◽  
Yeniwati Yeniwati ◽  
Mike Triani
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Short Term

This research to analyze the influence of macro economic variables impact on Chinese Foreign Direct Investment in Indonesia. The influence of China’s economic growth, Indonesia’s economic growth, interest rates, inflation and exchange rates against Foreign Direct Investment (FDI) China in Indonesia in the long term and short term. Type of this research is descriptive research, the secondary data use form time series data, from 2001Q1 – 2016Q4, taken  from agencies and related institution, the analysis using the Ordinary Least Square (OLS) and Error Correction Model (ECM) to see the influence in a long term and impact in the short term. This research show that Indonesia’s economic growth of China’s economic growth and inflation is have a significant effect in the long term Chinas’s FDI in Indonesia. Variable economic growth of Indonesia’s, interest rates, inflation, exchange rate in the short term influence China’s Foreign Direct Investment in Indonesia. How ever in the long term interest rates and exchange rate do not influence significantly, to China’s FDI in Indonesia.

Sign in / Sign up

Export Citation Format

Share Document