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 COINTEGRATING RELATION BETWEEN EXCHANGE RATE AND GOLD PRICE

2017 ◽  
Vol 5 (10) ◽  
pp. 263-269
Author(s):  
Ranjusha ◽  
Devasia ◽  
Nandakumar
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Unit Root Test ◽  
Gold Price ◽  
Series Data ◽  
Annual Data ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Relationship

The very purpose of this paper is to analyse the relationship between gold price and Rupee – Dollar exchange rate in India. The study utilises the annual data of exchange Rate (ER) and Gold Price (GP) from 1970 to 2015 to determine the relationship. Different econometric tools like Unit root test, Johansen co integration test, Vector error correction model, Granger causality test are used for detecting the long run relation, if any between the mentioned variables. The result shows that there exists a long run cointegrating relation between the variables. That is we can stabilise the Gold Price movement by controlling the exchange rate fluctuations. Likewise it also shows that Exchange rate doesn’t Granger cause to Gold price and vice versa. It means that the time series data of one vasriable cannot be used to predict another.

scholarly journals The Effect of Liquidity on Financial Performance: Evidence from Turkish Retail Industry

2016 ◽  
Vol 8 (4) ◽  
pp. 63 ◽  
Author(s):  
Kartal Demirgünes
Keyword(s):  
Financial Performance ◽  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Retail Industry ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
Dynamic Ols ◽  
Retail Merchandising

The aim of this study is to analyse the effect of liquidity on financial performance (<em>in terms of</em> profitability) by using a time-series data of Turkish retail industry (consisting of Borsa Istanbul (BIST) listed retail merchandising firms) in the period of 1998.Q1-2015.Q3. The stationarity of series and the co-integration relationship between them are tested by the unit root test of Carrioni-i-Silvestre et al. (2009) and the co-integration test of Maki (2012), respectively. Co-integration coefficients are estimated by Stock and Watson (1993) dynamic OLS method. Finally, causal relationships between the series are tested by Hacker and Hatemi (2012) bootstrap causality test. Results of Maki (2012) test show that the series are co-integrated in the long-run. While long-run parameters estimated posit a significantly positive relationship between financial performance and liquidity, causality test does not indicate any direction of causality between the series.

Trade Openness, Foreign Direct Investment and Economic Growth: Empirical Evidence from India

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Brajaballav Pal
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Trade Openness ◽  
Unit Root Test ◽  
Series Data ◽  
Long Run ◽  
Integration Test ◽  
The Government

This paper examines the relationship among GDP, foreign direct investment and trade openness for India using time series data from 2001 to 2016. In this study unit root test is used to solve the problem of stationery and to determine the order of integration between the variables. Johnson co-integration test suggests that there is a long run equilibrium relationship among the variables by considering relationship between Gross Domestic Product (GDP), Foreign Direct Investment (FDI) and Trade Openness (TO). The result indicates that trade openness exerts influence on foreign direct investment. The government and policy makers should take up strategies to attract foreign investment so as to promote economic growth.

scholarly journals Nexus Between Tourism, Environmental Degradation, and Economic Growth: Evidence From Non-Linear ARDL and Causality Estimation

2021 ◽  
Author(s):  
Muhammad Amir ◽  
Muhammad Siddique ◽  
Kamran Ali ◽  
Azaz Ali Ather Bukhari ◽  
Naila Kausar
Keyword(s):  
Economic Growth ◽  
Environmental Degradation ◽  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Tourism Demand ◽  
Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
Non Linear

Abstract The purpose of this study is to assess the asymmetric associations of environmental degradation, and economic growth with Pakistan's tourism demand. To fulfil this purpose, “non-linear autoregressive distributed lag” (NARDL) modelling was performed on the time series data collected from Pakistan for 26 years. The unit root test, co-integration test, long-run estimation, and NARDL estimations were applied to the data to generate findings. The present study revealed the presence of significant asymmetric associations between environmental degradation and tourism demand and economic growth and tourism demand. It is found that the increase and decrease in economic growth cause the tourism demand of Pakistan to increase. Results further indicate that the increase in environmental degradation in Pakistan causes its tourism demand to reduce. The current study tends to be theoretically significant and practically beneficial for Pakistan's policymakers. It will help them realize the role of economic growth of the country and environmental degradation in shaping Pakistan's tourism demand and thus help them develop and implement better policies for the growth of the tourism sector.

scholarly journals Impact of gold prices on stock exchange market: a case of Karachi stock exchange market of Pakistan

2016 ◽  
Vol 4 (1) ◽  
pp. 60 ◽  
Author(s):  
Muhammad Shaique Khan ◽  
Abdul Aziz ◽  
Gobind M. Herani
Keyword(s):  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Unit Root Test ◽  
Gold Price ◽  
Series Data ◽  
Exchange Market ◽  
Long Run ◽  
Domestic Capital ◽  
Integration Test

<p>The objective of the study is to examine the long-term relationship between gold prices and KSE-100 index of the Karachi stock market Pakistan. For the foreign and domestic capital investors, it is assumed that the gold is the safest heaven for making investment. On the other handstock markets are considered highly volatile. This study uses monthly data of two hundred forty eight months from October 1993 to May 2014. Time-series data of both variables Karachi Stock Exchange 100 index (KSE-100) and gold prices have been collected from the official website of Karachi stock market and Forex.com. To achieve the aims of the study, several econometric tests have been applied such as unit root test by using Augmented Dickey-Fuller test, Johnson Co-integration test and Vector Auto-regressive Model (VAR). This study finds that there is no long-run relationship between KSE 100 index and gold prices. It is concluded investors should not consider KSE 100 index and gold prices as close alternatives rather they should make their decisions on subjective knowledge by aligning them with empirical evidence. While making decisions about gold prices last month’s price must be taken into consideration because current gold price is significantly influenced by last month’s gold price. Whilst making decision regarding KSE 100 index last two months’ fluctuations taken into consideration.</p>

scholarly journals Government Capital Expenditure and Private Sector Investment in Nigeria

2019 ◽  
Vol 6 (1) ◽  
pp. 71-82
Author(s):  
Felix Gbenga Olaifa ◽  
Oluwasegun Olawale Benjamin
Keyword(s):  
Human Capital ◽  
Private Sector ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Unit Root Test ◽  
Private Investment ◽  
Series Data ◽  
Private Sector Investment ◽  
Integration Test ◽  
Physical Assets

This paper analyses the relationship between government capital expenditure and private investment in Nigeria using time series data spanning from 1981 to 2016. Government capital expenditure was disaggregated into different components and ADF unit root test was employed to establish the stationarity properties of the variables in the model. The result of Johanson co-integration test revealed that the variables have long run relationship. Co-integration regression results suggested that capital expenditure on physical assets and defense displaced private sector investment while government capital expenditure on human capital and public debt servicing promote private sector investment in Nigeria. Furthermore, the results of T-Y causality revealed the bidirectional causality private sector investment and government capital expenditure in Nigeria. Based on these findings, the paper recommends that government capital expenditure should be channel to human capital in order to promote private sector investment in Nigeria. In addition, the Nigerian government should pay more attention to capital expenditure on physical assets since it has a significant impact on private sector investment. Lastly, Nigeria government should address the issue of budget delay, corruption, and mismanagement in Nigerian institutions.

scholarly journals Effect of Foreign Aids on Economic Growth in Nigeria

2020 ◽  
pp. 194-204
Author(s):  
Isiaka Najeem Ayodeji ◽  
Makinde Wasiu Abiodun
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Unit Root Test ◽  
Secondary Data ◽  
Least Square ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Impact

This study investigated the impact of foreign aids on economic growth in Nigeria using time series data spanned from 1990 to 2017. The research considered the secondary data that were gathered from CBN statistical bulletin 2017 and World Bank Data Indictors. Ordinary Least Square techniques was adopted in the study and used Augmented Dickey-Fuller Unit Root Test, co integration test, granger causality test, ECM to estimates data employed. The findings revealed that all the variables employed were stationary at first difference and integrated at the same order1(I), the co-integration test shows that variables are co-integrated at one co-integrating equation which means that there is a long run relationship. The Error Correction Model established that the error that caused disequilibrium in the short run is being corrected in the long-run at a speed of adjustment at 6%. The findings revealed real gross domestic product responds inversely to changes in official development assistance and foreign direct investment. Based on these findings the study concluded that foreign aids have a significant impact on economic growth in Nigeria. Different diagnostic tests are applied in order to confirm the major assumption of multiple regression analysis like multicollinearity, heteroskedasticity and autocorrelation. Therefore, the study recommends among others that government needs to formulate strong and effective education and healthcare policies to facilitate and attract investment in the sectors and improve their efficiency in the long-run that will influence productivity.

EMPIRICAL ANALYSIS OF INDIA’S FOREIGN TRADE AND ECONOMIC GROWTH

2020 ◽  
Vol 8 (10) ◽  
pp. 105-111
Author(s):  
Khujan Singh ◽  
Anil Kumar
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Significant Implication ◽  
Causality Test ◽  
First Order ◽  
Long Run ◽  
Directional Relation ◽  
Augmented Dickey Fuller ◽  
Vecm Granger Causality

The present study is an attempt to examine long run relationship among India’s GDP, Exports and Imports for which yearly time series data from 1995 to 2018 has been collected. Data for India’s GDP has been collected from RBI website and India’s export and import data has been collected form Ministry of Commerce and Industry website. The Augmented Dickey-Fuller unit root test for stationarity found that studied variables become stationary at first order of difference. While, Johnson cointegration test revealed long run cointegration between India’s GDP, exports and imports. The results of VECM Granger causality test exhibited bi-directional relationship between India’s GDP and India’s exports, whereas uni-directional relation has been found between India’s GDP and India’s imports. These results have significant implication for India’s export import policy and to achieve a target of $5 trillion economy till 2024-2025.

scholarly journals Panel Econometric Analysis on Mobile Payment Transactions and Traditional Banks Effort toward Financial Accessibility in Sub-Sahara Africa

2020 ◽  
Vol 12 (3) ◽  
pp. 895 ◽  
Author(s):  
Cephas Paa Kwasi Coffie ◽  
Hongjiang Zhao ◽  
Isaac Adjei Mensah
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Sustainable Growth ◽  
Series Data ◽  
Mobile Payment ◽  
Cross Sectional ◽  
Mobile Payments ◽  
Long Run

The financial landscape of sub-Sahara Africa is undergoing major changes due to the advent of FinTech, which has seen mobile payments boom in the region. This paper examines the salient role of mobile payments in traditional banks’ drive toward financial accessibility in sub-Sahara Africa by using panel econometric approaches that consider the issues of independencies among cross-sectional residuals. Using data from the World Development Index (WDI) 2011–2017 on 11 countries in the region, empirical results from cross-sectional dependence (CD) tests, panel unit root test, panel cointegration test, and the fully modified ordinary least squares (FMOLS) approach indicates that (i) the panel time series data are cross-sectionally independent, (ii) the variables have the same order of integration and are cointegrated, and (iii) growth in mobile payment transactions had a significant positive relationship with formal account ownership, the number of ATMs, and number of new bank branches in the long-run. The paper therefore confirms that the institutional structure of traditional banks that makes them competitive, irrespective of emerging disruptive technologies, has stimulated overall financial accessibility in the region leading to overall sustainable growth in the financial sector. We conclude the paper with feasible policy suggestions.

scholarly journals BANKING SECTOR LIBERALIZATION AND ECONOMIC GROWTH: CASE STUDY OF PAKISTAN

2016 ◽  
Vol 17 (1) ◽  
pp. 125-139 ◽  
Author(s):  
Najia SAQIB
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Time Series Data ◽  
Series Data ◽  
Omitted Variables ◽  
Financial Systems ◽  
Long Run ◽  
Banking Sector Development ◽  
The Impact

Economic theory suggests that sound and efficient financial systems channel capitals to its most productive uses are beneficial for economic growth. Sound and efficient financial systems are especially important for sustaining growth in developing countries. This paper examines the impact of banking sector liberalization on long-term economic growth in Pakistan by using a time series data for the period 1971–2011. The results show that there exist a significant positive long run relationship between banking sector development and economic growth in the country. The sensitivity analysis also shows that the relationship remain positive and significant no matter what combination of the omitted variables are used in the basic model. Thus, our findings support the core idea that banking sector development stimulates long term economic growth in a country.

Sign in / Sign up

Export Citation Format

Share Document