scholarly journals Financial market performance: An influence of personal remittances

2017 ◽  
Vol 14 (2) ◽  
pp. 268-273
Author(s):  
Kunofiwa Tsaurai

This study examined the relationship between banking sector development and personal remittances in Zambia using the vector error correction model (VECM) approach with annual time series secondary data ranging from 1980 to 2014. Literature has found out that the relationship between financial sector development and remittances is fourfold: (1) financial sector development influences remittances inflow into the receiving country, (2) remittances positively influences financial sector development, (3) there is a feedback relationship between financial sector development and remittances inflow and (4) there is no or negligible relationship between the two variables. The study found out that there existed a long run causality relationship running from either banking sector development towards personal remittances or from personal remittances towards banking sector development in Zambia during the period under study. The short run causality from either side to another could not be confirmed in this study. It is against this background that the current study encourages Zambian authorities to stimulate banking sector development in order to increase personal remittances inflow. They should also design sustainable remittances harnessing policies as that will go a long way in as far as promoting banking sector development is concerned.

2014 ◽  
Vol 4 (3) ◽  
pp. 44-50
Author(s):  
Kunofiwa Tsaurai

The study investigates if there is a causality relationship between banking sector development and FDI inflows in Botswana. Though quite a number of authors have written on the subject, there appears to be no consensus on the directional causality between banking sector development and FDI inflows into the host country. At the moment, three dominant perspectives exist regarding the relationship between banking sector development and FDI inflows into the host country. The first perspective says that banking sector development attracts FDI inflows into the host country. The second perspective suggests that there is a positive feedback effect between banking sector development and FDI inflows whilst the third perspective maintains that there is no direct causality relationship between the two variables. The results from this study are consistent with the third perspective that says there is no direct causality relationship between banking sector development and FDI net inflows. This confirms that the long run relationship between banking sector development and FDI net inflows is an indirect one and the two set of variables affect each other indirectly through other factors in Botswana.


2018 ◽  
Vol 10 (2) ◽  
pp. 133
Author(s):  
Mohammad Khanssa ◽  
Wafaa Nasser ◽  
Abbas Mourad

This paper uses econometric modeling to test the nature of the relationship between unemployment and inflation in Lebanon throughout the period 1993-2014. It takes the Phillips curve relationship as a reference for the tests. Cointegration, Granger causality and VECM were used to test the relationship both in the short and in the long run. The study resulted in finding out that the Phillips curve relationship doesn’t hold in Lebanon in the short run and came to a conclusion that there is a one-way causality relationship in the long run from unemployment to inflation and not in the opposite direction.


2017 ◽  
Vol 9 (2) ◽  
pp. 243
Author(s):  
Patience Nkala ◽  
Asrat Tsegaye

Consumption has been and remains the main contributor to gross domestic product (GDP) growth in South Africa. Household debt on the other side has remained high over the years. These two economic indicators are a reflection of the well-being of an economy. This study thus examined the relationship between household debt and consumption spending, for the period between 1994 and 2013. The Johansen cointegration technique and the Vector error correction model (VECM) were utilised to test the long run and short run relationships between the variables. The Granger causality test was also employed to test the direction of causality between the variables. Results from this study have revealed that a relationship exists between household debt and consumption spending in South Africa and they have also showed that this relationship flows from household debt to consumption spending. The implications of these results are that consumption spending may be increased through other measures rather than through increasing debt. The study therefore recommends that policy makers avail more investment opportunities for households and to also create employment in a bid to increase the income of households which can then be used to increase household consumption rather than the use of debt.


2015 ◽  
Vol 4 (4) ◽  
pp. 327-333
Author(s):  
Nouman Badar ◽  
Munib Badar

This paper examines the long and short term relationship of financial sector development on economic growth of Pakistan where development of financial sector is detected by the variables truly depicts the efficiency of financial sector i.e. Money Supply, size of Advances, Private sector Credit growth and Bank’s equity with economic growth which is pronounced by Gross Domestic Product in this study. Data of almost 22 years ranges from 1992 to 2013 of overall banking industry is taken to obtain results by employing Johnson and Jusellious co integration technique to detect long run association while Granger Casualty test is used to determine cause and effect relationship and to measure short term dynamics Vector Error correction model is used. The result shows that both long and short run relationship exists between growth of financial sector and economy of Pakistan.


Author(s):  
Hanan Naser

This study examines the economic and environmental impact of large financial developments in Bahrain from year 2006 to 2016. To do so, the relationship between energy consumption, oil prices, market shares, dividend yields, and economic growth has been investigated using Vector Error Correction Model (VECM). The key findings are summarized as follow: (1) Long run relationship exists between the suggested variables. (2) Both energy and financial markets are significant in the long run relationship, and positively affect the economic growth of Bahrain. (3) According to the estimated ECM term, the model is stable in the short run. (4) Decline in oil price has negative significant drawback on the economic growth of Bahrain. Accordingly, it is recommended that policy makers in Bahrain focuses on implement strong strategies that aim at encouraging investments in non-oil sectors without impeding energy sector or economic growth in order to move towards sustainability.


2020 ◽  
Vol 14 (2) ◽  
pp. 202-212
Author(s):  
NWOSA Philip Ifeakachukwu

This article examines the link between globalisation, economic growth and income inequality in Nigeria using annual secondary data over the period 1981–2018. Specifically, it attempts to examine the following questions: (a) What is the direction of causation among globalisation, economic growth and inequality? (b) What is the impact of globalisation and economic growth on inequality? (iii) Do trade globalisation and financial globalisation have differential impacts on inequality in Nigeria? The article used both vector error correction modelling (VECM) and auto-regressive distributed lag (ARDL) techniques. The VECM results show a unidirectional causality from inequality and globalisation to economic growth in the long run, whereas a unidirectional causation was observed from inequality to economic growth in the short run. The ARDL estimate shows that globalisation and economic growth are significant determinants of inequality in Nigeria. Furthermore, it is observed that trade and financial globalisation influenced income inequality differently. In the light of these findings, the article recommends that the foreign direct investment should be channelled towards empowering the poor, and the dividends of economic growth should be evenly distributed to reduce the income inequality gap.


2015 ◽  
Vol 1 (1) ◽  
pp. 14 ◽  
Author(s):  
Faith M. Zimunya ◽  
Mpho Raboloko

<p><em>The paper identifies the factors that are influential in determining the growth of household debt in Botswana. Understanding the relationship between household debt and other economic indicators is an important step towards formulating focused and effective policies that control the effects of household debt on the whole economy. Using quarterly data from the first quarter of 1994 to the second quarter of 2012,</em><em> </em><em>the paper employs the Vector Error Correction Model (VECM) to analyse the influence of </em><em>G</em><em>ross </em><em>D</em><em>omestic </em><em>P</em><em>roduct (GDP) per capita, interest rates, inflation, household consumption and money supply on household debt. The findings indicate that GDP per capita, interest rates and money supply determine changes in household debt in the long-run. Further analysis shows that lagged household debt, interest rates and money supply influence changes in household debt in the short-run.</em></p><p><em><br /></em></p>


Author(s):  
Onime, Bright Enakhe ◽  
E. Kalu, Ijeoma

The burgeoning remittances into Nigeria and their effect on the economy have received renewed attention in recent times. Literature has suggested the existence of a relationship between remittances and food security. The extent to which this is true for Nigeria is uncertain. Using Vector Error Correction Model (VECM), this study examined the link between remittances and food security using secondary data for the period 1980 to 2018. Findings revealed a robust long and short-run relationship between remittances and food security. In the short-run, a positive and significant relationship was found between remittances and food security in the current period such that a 1 per cent increase in remittances was associated with a 5.08 per cent improvement in food security. In the long-run, a cointegrated relationship was observed as the error correction term depicting this relationship was well-behaved, properly signed and significant indicating that any previous period deviation in long-run equilibrium is corrected in the current period at an adjustment speed of 28.8 per cent. In addition, the Granger test suggests a unidirectional causality running from remittances to food security such that past values of remittances determined food security during the period investigated. Consequent to the findings, the study recommended with a caveat, the design and proper implementation of a diaspora and remittances policy to cater for the welfare of Nigerians in the diaspora to improve remittance receipts and by implication, food security. However, since remittances alone cannot guarantee food security in Nigeria, this study further recommends a holistic and multidimensional approach to address the food security challenge and close the food deficit gap.


2020 ◽  
Vol 12 (2) ◽  
pp. 56
Author(s):  
Afangideh U. J. ◽  
Garbobiya T. S. ◽  
Umar F. B. ◽  
Usman N.

This paper examines the Impact of inflation on financial sector development in Nigeria using quarterly data from 2002-2017. Financial sector development is proxied using money supply as a share of GDP (M2/GDP).The Auto-Regressive Distributive lag (ARDL) model is employed to carry out the estimation given the weakness of the Engle-Granger residual-based cointegration technique to test the long-run and short-run effects of the impacts of inflation on financial sector development. The results of the estimation reveal that there is a positive and statistically significant relationship between inflation and financial sector development in Nigeria. There is need to test for threshold effects of inflation on financial development in Nigeria.


Author(s):  
Anthony Ilegbinosa Imoisi

Monetary and Fiscal policies are instruments which the government of any nation can employ to effectively achieve the desired growth of their respective economies. This study investigates the extent to which monetary policies can promote economic growth in Nigeria from 1980-2017. Secondary data were used from the Statistical Bulletin of the apex bank in Nigeria (CBN) and National Bureau of Statistics. Unit root test, Johansen co-integration and the vector error correction model (VECM) were employed in analyzing the data collected for this study. The result showed that approximately 62% of GDP is explained by variables in the model while 38% is accounted for and explained by other variables not included in the model but are captured by the error term. In addition, monetary policies did not have a significant impact on Nigeria’s economic growth in the short run, but significantly affected the country’s growth in the long run.


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