scholarly journals INTEREST RATE, MONEY SUPPLY AND GROWTH OF MORTGAGE FINANCING AMONG COMMERCIAL BANKS IN KENYA

2021 ◽  
Vol 6 (2) ◽  
pp. 1-11
Author(s):  
Chanzu Luyali ◽  
Julius Bichanga ◽  
M Gekara
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Commercial Banks ◽  
Time Series Data ◽  
Negative Impact ◽  
Model Specification ◽  
Series Data ◽  
Unique Contribution ◽  
The Government

Purpose: The purpose of this study was to investigate the effects of interest rate and money supply on the growth of mortgage financing among Commercial banks in Kenya. Materials and methods: The study adopted a descriptive research design. The population contained 35 loan lending commercial banks over a period between 1985 and 2019. Secondary data was used from desired financial statements available to the public of the singular commercial banks and other posted reports of financial institutions and establishments in conformity with the study. Time-series data were analyzed using STATA version 13 software, regression analysis and model specification tests. The hypothesis was tested using the multiple regression approach a significance level of 0.05 was used. Results: The study found that interest rate (coef= -0.0822, p= 0.007) and money supply (coef= 0.548, p= 0.00) have significant effects on the growth of mortgage financing among Kenyan commercial banks. Unique contribution to theory, practice and policy: Kenya's central bank should put in place mechanisms to guarantee that interest rates and money supply do not have adverse impacts on bank mortgage financing. The government should guarantee currency stability since currency fluctuations may have a negative impact on commercial bank mortgage borrowing. The classical theory is therefore relevant in our research since interest rates impact mortgages when capital demand increases. The quantity theory of money demand also holds that individuals want cash based on the transactions they need.

scholarly journals Inflation and Commercial Banks Operation in Tanzania

2020 ◽  
pp. 22-28
Author(s):  
Zuhura Mohamed Abdallah ◽  
Safia Yahya Saadat
Keyword(s):  
Interest Rates ◽  
Commercial Banks ◽  
Time Series Data ◽  
Positive Impact ◽  
Financial Sector ◽  
Bank Lending ◽  
Series Data ◽  
Monitoring And Control ◽  
Long Run ◽  
The Government

This paper addresses connection of inflation and commercial banks operation by using quarterly time series data from 2008 to 2017. The study precisely shows relationship of inflation and customer savings in the commercial banks; and bank lending to customers using Vector Error Correction Model. The study reveals that there is existence of long run relationship among customer saving and inflation; and bank lending and inflation. The study reveals positive impact of customer saving and bank lending on inflation. The government of Tanzania should increase expenditure to necessary activities so as to expand banks operations because it is a crucial sector in the financial sector. However, the government should have continuous monitoring and control of the inflation to prevent financial sector shakiness. Additionally, Commercial banks should put much control on lending by increasing interest rates and choosing borrower with good character.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI INFLASI DI INDONESIA

2016 ◽  
Vol 5 (2) ◽  
pp. 137
Author(s):  
Chairannisa Arjunita
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Money Supply ◽  
Inflation Targeting ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Series Data

This study aims to  analyze the effect of interest rate, money supply,exchange rate and inflation targeting framework policy on inflation in Indonesia.The type of this research are descriptive and associative using time series data fromthe first quarter of 1997 until the fourth quarter of 2015 with documentation datacollected technique. Data were analyzed with multiple linear regression model, theprerequisite test (multicolinearity, autocorrelation and heteroscedasticity), t test, andF test. The result shows that (1) Interest Rates has positive and significant effect oninflation in Indonesia. (2) Money Supply has positive and not significant effect oninflation in Indonesia. (3) Exchange rate has negative and not significant effect oninflation in Indonesia.  (4) Inflation Targeting Framewrok Policy has positive andsignificant effect on inflation in Indonesia.

scholarly journals PENGARUH FAKTOR – FAKTOR EKONOMI TERHADAP INFLASI DI INDONESIA PASCA-KRISIS KEUANGAN

2017 ◽  
Vol 21 (2) ◽  
pp. 73-84
Author(s):  
Jechlien Melinda Reawaruw
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Financial Crisis ◽  
Money Supply ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Negative Effect ◽  
The Government ◽  
Positive Effect

This study aimed to identify the influenceof Interest Rate, Money Supply, and Exchange Rate to inflationin Indonesia after Financial Crisis 2008 with quantitative approach and analyzed using OLS (Ordinary Least Square). Data Methods in this research used time series data in the period 2008:1 until 2015:2. The result of this research indicate that Interest Rate, Money Supply, and Exchange Rate simultaneously effect the inflationin Indonesia after Financial Crisis 2008. Interest Rate has a positive effect 2.755885%, Money Supply has a positive effect 1.28E-06%, and Exchange Rate have a negative effect 0.000841%. Bank Indonesia as an institution that is responsible for determining the inflatin target has a very important role and coordinate with the government in implementing fiscal policy and monetary policy appopriately.

scholarly journals An Econometric Analysis of Food Security and Agricultural Credit Facilities in Nigeria

2018 ◽  
Vol 12 (1) ◽  
pp. 227-239 ◽  
Author(s):  
Romanus Osabohien ◽  
Adesola Afolabi ◽  
Abigail Godwin
Keyword(s):  
Food Security ◽  
Interest Rates ◽  
Commercial Banks ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Labour Force ◽  
Series Data ◽  
Agricultural Credit ◽  
Development Indicators ◽  
The Government

Background:It is a known fact that the efficiency of credit facility positively contributes to production base of a sector, especially the Nigerian agricultural sector which is recognised as the heartbeat of the economy by employing over 70% of the country’s labour force; this forms the motivation for this study.Objective:This study examined the potential of agricultural credit facilities in terms of commercial bank credit to agriculture and agricultural credit guarantee scheme fund (ACGSF) and their corresponding interest rates to farmers towards increasing agricultural production as the pathway to food security in Nigeria.Method:The study employed the Autoregressive Distribution Lag (ARDL) econometric approach on the time series data sourced from the Central Bank of Nigeria (CBN) statistical bulletin, Food and Agriculture Organisation (FAO) and the World Development Indicators (WDI) for the period 1990-2016.Result:The result from ARDL showed that commercial banks credits and ACGSF increased food security by 8.12% and 0.002% respectively, while population reduces food security by 0.001%.Conclusion:The study concluded that population should be controlled through family planning and adequate financing of the ACFSF by the government and monitor commercial banks leading interest rates on credit facilities.

scholarly journals Inflation volatility as a phenomenon monetary-fiscal combination in Indonesia

2021 ◽  
pp. 305
Author(s):  
Eli Marnia Henira ◽  
Raja Masbar ◽  
Chenny Seftarita
Keyword(s):  
Interest Rates ◽  
Money Supply ◽  
Time Series Data ◽  
Foreign Debt ◽  
Positive Influence ◽  
Effective Control ◽  
Series Data ◽  
Tax Revenues ◽  
Distributed Lag ◽  
The Government

Inflation is generally seen as a monetary phenomenon whose effective control is through the management of the money supply, interest rates, and exchange rates. Another opinion views inflation as a fiscal phenomenon that is controlled through the effectiveness of tax revenues and state expenditures and avoiding a budget deficit that triggers an increase in government external debt. This study aims to examine and analyze the volatility of inflation as a phenomenon monetary-fiscal combination in Indonesia. The analysis was carried out descriptively and quantitatively through the Autoregressive Distributed Lag (ARDL) Model using secondary time series data from the 1st quarter of 2009 to the 2nd quarter of 2020. The results showed the dominance of the positive influence of interest rates from the monetary side and foreign debt from the fiscal side, as well as the ineffective role of tax revenue in reducing inflation in Indonesia. Bank Indonesia needs to streamline policies related to interest rate management in regulating the money supply. The government needs to make efforts to increase the effectiveness of tax revenues and state spending to minimize its foreign debt.

Relationship between Budget Deficit and Economic Growth: Evidence from Ethiopia

2021 ◽  
Vol 2 (2) ◽  
pp. 10-15
Author(s):  
Desalegn Emana
Keyword(s):  
Economic Growth ◽  
Interest Rates ◽  
Budget Deficit ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Negative Relationship ◽  
Nominal Exchange Rate ◽  
Series Data ◽  
Long Run

This study examined the relationship between budget deficit and economic growth in Ethiopia using time series data for the period 1991 to 2019 by applying the ARDL bounds testing approach. The empirical results indicate that budget deficit and economic growth in Ethiopia have a negative relationship in the long run, and have a weak positive association in the short run. In line with this, in the long run, a one percent increase in the budget deficit causes a 1.43 percent decline in the economic growth of the country. This result is consistent with the neoclassical view which says budget deficits are bad for economic growth during stimulating periods. Moreover, in the long run, the variables trade openness and inflation have a positive impact on Ethiopian economic growth, and on the other hand, the economic growth of Ethiopia is negatively affected by the nominal exchange rate in the long run. Apart from this, in the long run, gross capital formation and lending interest rates have no significant impact on the economic growth of the country. Therefore, the study recommends the government should manage its expenditure and mobilize the resources to generate more revenue to address the negative impact of the budget deficit on economic growth.

scholarly journals Daya Tahan Sektor Rumah Tangga Dalam Rangka Menjaga Stabilitas Sistem Keuangan

2018 ◽  
Vol 5 (1) ◽  
pp. 65
Author(s):  
Ita Rakhmawati ◽  
Suhadi Suhadi
Keyword(s):  
Interest Rates ◽  
Time Series Data ◽  
Negative Impact ◽  
Financial System ◽  
Series Data ◽  
Price Stability ◽  
Economic Stability ◽  
Independent Variables ◽  
High Inflation ◽  
The Stability

The crisis in 1997 is the image of the high rise in inflation in Indonesia. The phenomenon of inflation when it reached 82.40% (Anas, 2006). The early mid-1998 also experienced a weakening of the rupiah against the dollar. Condition stable economy is the desire of each country in comparison with the state of the economy has always fluctuated. Economic stability will create an atmosphere conducive economy. stable climatic conditions in the expected level of welfare is the purpose in each country. One of the efforts to maintain economic stability is through monetary policy. For example, with economic growth, maintain price stability (inflation), the achievement of the balance of payments and the reduction of unemployment (Natsir, 2008). The stability of the financial system of a country of which reflected their price stability, in the sense that there are a great price that can be harmful to society, both consumers and manufacturers that will damage the joints of the economy. However, the implementation of the policy, Bank Indonesia as the monetary authority uses monetary variables such as interest rates and the money supply to cope with economic shocks such as inflation. Besides the need for the government’s role in maintaining the rupiah to avoid turmoil in the economy. The importance of inflation control based on the consideration that the high inflation and unstable negative impact on socio-economic conditions of society. Among the high inflation will cause a decline in the real income of the community so that the standard of living of the people down and eventually make everyone, especially the poor get poorer. From one of the effects of inflation are so wide will impact people’s demands to meet the needs of more and more difficult. Their continuousprice increases being offset by rising income of the communities, it can make sure the Indonesian state would worsen. As a result many people’s needs can not be met, so many things that must be met by way of credit. The number of community needs that must be met will cause world of opportunities for banks to offer credit readily available to meet the needs. The third object of research above (inflation, poverty, and credit) does affect the stability of the financial system? In this study using secondary data from the Badan Pusat Statistik (BPS) and Bank Indonesia (BI) with time series data from the years 2007-2015. The process of data analysis was performed using OLS regression with Eviews 8.0. Based on research, if only partial test of the poverty variable significantly affect the stability of the financial system amounted to 2,023 with α = 10%. Meanwhile, two other variables (inflation and poverty) is not significant to the stability of the financial systemMeanwhile, two other variables (inflation and poverty) is not significant to the stability of the financial system. While the value of R-Square (0.629900), indicating that the three independent variables / free consisting of inflation, poverty and credit simultaneously have the effect that make the stabilization of the financial system increases or decreases. That is jointly independent variables (inflation, poverty and loans) contributed / effect of 62.9% against the stability of the financial system. The rest is the influence of other factors beyond the three independent variables studied.

scholarly journals A Study on Estimation and Prediction of Vector Time Series Model Using Financial Big Data (Interest Rates)

2021 ◽  
Vol 12 (5) ◽  
pp. 309-316
Author(s):  
Jae-Hyun Kim, Chang-Ho An
Keyword(s):  
Time Series ◽  
Interest Rate ◽  
Prediction Model ◽  
Interest Rates ◽  
Time Series Data ◽  
Information Criteria ◽  
Series Data ◽  
Call Rate ◽  
Causality Test ◽  
Vector Autoregressive

Due to the global economic downturn, the Korean economy continues to slump. Hereupon the Bank of Korea implemented a monetary policy of cutting the base rate to actively respond to the economic slowdown and low prices. Economists have been trying to predict and analyze interest rate hikes and cuts. Therefore, in this study, a prediction model was estimated and evaluated using vector autoregressive model with time series data of long- and short-term interest rates. The data used for this purpose were call rate (1 day), loan interest rate, and Treasury rate (3 years) between January 2002 and December 2019, which were extracted monthly from the Bank of Korea database and used as variables, and a vector autoregressive (VAR) model was used as a research model. The stationarity test of variables was confirmed by the ADF-unit root test. Bidirectional linear dependency relationship between variables was confirmed by the Granger causality test. For the model identification, AICC, SBC, and HQC statistics, which were the minimum information criteria, were used. The significance of the parameters was confirmed through t-tests, and the fitness of the estimated prediction model was confirmed by the significance test of the cross-correlation matrix and the multivariate Portmanteau test. As a result of predicting call rate, loan interest rate, and Treasury rate using the prediction model presented in this study, it is predicted that interest rates will continue to drop.

Financial Industry Under Entrepreneurial Ecosystem

2020 ◽  
pp. 132-147
Author(s):  
Xiaomin Du ◽  
Xiangxiang Lang
Keyword(s):  
Developing Countries ◽  
Interest Rates ◽  
Commercial Banks ◽  
Negative Impact ◽  
Bank Performance ◽  
Financial Industry ◽  
Banking Business ◽  
Internet Finance ◽  
The Government ◽  
New Policies

Due to the three functions of cost reduction, disintermediation, and information asymmetry, internet finance continues to impact the traditional banking business in the financial industry, posing a new competitive risk for commercial banks. In developing countries such as China, given the imperfect development of the financial market, the government needs to introduce a series of policies, but new policies will bring the risk of market uncertainty. Due to the double uncertainty of the market and the system in developing countries, commercial banks are caught between competitive and new policy risks. Therefore, exploring the impact of these two risks on the performance of commercial banks is very important to allow commercial banks to discern, resist, and respond to risks. This research uses the data of A-share listed banks for the past 10 years. Empirical research shows that internet finance and interest rate liberalization have a negative impact on bank performance. The liberalization of interest rates further increases the negative impact of internet finance on bank performance.

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. 

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