scholarly journals Insurance Industry and Non-Agriculture Sector of Nepal: An Empirical Study

2013 ◽  
Vol 3 (1) ◽  
pp. 43-60 ◽  
Author(s):  
Hom Nath Gaire
Keyword(s):  
Insurance Industry ◽  
Unit Root Test ◽  
Least Square Method ◽  
Least Square ◽  
Annual Data ◽  
Strong Positive Correlation ◽  
Causality Test ◽  
Agriculture Sector ◽  
Real Gdp ◽  
Integration Test

In this paper, an attempt has been made to analyse relationship between Nepalese insurance industry and the non-agriculture sector using the annual data of the period of 1997 to 2010. In order to accomplish this goal, unit root test, co-integration test, granger causality test, and ordinary least square method of regression analysis have been performed. The empirical result from the co-integration tests clearly shows that there is a long-run relationship between total premium collection and Resources/Liabilities of Nepalese insurance industry vis-á-vis non-agriculture real GDP. Likewise, the null hypotheses that the total premium collection and Resource/Liabilities does not granger cause non-agriculture and real GDP of Nepal and was rejected. Moreover, estimated coefficients of regression models also indicate that there is strong positive correlation between the insurance industry and non-agriculture sector of Nepal. DOI: http://dx.doi.org/10.3126/bj.v3i1.7510 Banking Journal Vol.3(2) 2013 pp.43-60

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.

Financial inclusion and economic growth nexus: Evidence from SAARC countries

2020 ◽  
pp. 026272802096460
Author(s):  
Dharmendra Singh ◽  
Nikola Stakic
Keyword(s):  
Economic Growth ◽  
Regional Cooperation ◽  
Financial Inclusion ◽  
Least Square ◽  
Annual Data ◽  
Causality Test ◽  
Ordinary Least Square ◽  
Regression Methods ◽  
Long Run ◽  
Integration Test

This article examines the nexus between financial inclusion index and economic growth in all eight South Asian Association for Regional Cooperation (SAARC) countries, using annual data from 2004 to 2017. In order to determine the possible long-run relationship between these variables, the study adopted the Pedroni panel co-integration test and two types of co-integration regression methods, the Fully Modified Ordinary Least Square (FMOLS) and the Dynamic Ordinary Least Square (DOLS) methods. The Pedroni panel co-integration test confirms the existence of a long-run relationship between financial inclusion and economic growth in the SAARC countries. The coefficients of FMOLS and DOLS indicate that the index of financial inclusion and selected control variables together support economic growth. In addition, the Granger causality test confirmed bi-directional causality between FI and economic growth.

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.

scholarly journals The drivers of economic growth in China and India: globalization or financial development?

2017 ◽  
Vol 16 (1) ◽  
pp. 54-84 ◽  
Author(s):  
Magda Kandil ◽  
Muhammad Shahbaz ◽  
Mantu Kumar Mahalik ◽  
Duc Khuong Nguyen
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Emerging Market ◽  
Annual Data ◽  
Test Results ◽  
Causality Test ◽  
Content Type ◽  
China And India ◽  
Integration Test ◽  
The Impact

Purpose Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by endogenizing capital and inflation and drawing comparisons between the two fastest growing emerging market economies. Design/methodology/approach In the long run, co-integration test results indicate that financial development increases economic growth in China and India. Findings The results also reveal that globalization accelerates economic growth in India but, surprisingly, impairs economic growth in China, as it increases competition for exports. The results furthermore disclose that acceleration in capitalization and inflation, as a proxy for aggregate demand, are positively linked to economic growth in China and India. Originality/value Causality test results indicate that both financial development and economic growth are interdependent. In contrast, causality runs from higher economic growth to increased globalization in India, while the results do not support long-term causality between globalization and economic growth in China.

scholarly journals HINTERLAND MEDAN CITY BETWEEN BINJAI CITY: A GRAVITATION APPROACH

2019 ◽  
Vol 17 (1) ◽  
pp. 1
Author(s):  
Muhammad Nasir
Keyword(s):  
Impulse Response Function ◽  
Unit Root Test ◽  
Gravity Models ◽  
Causality Test ◽  
Hierarchical Relationship ◽  
Integration Test ◽  
Variable Population ◽  
Vecm Granger Causality ◽  
Relationship Of ◽  
The City

Regional economy explains that there is an urban hierarchical relationship, cities that have higher hierarchy will serve cities that are below it as well as cities that are in the hierarchy undersupplying cities that are in the hierarchy above them, so there is a gravitational relationship between the two. This study aims to determine the gravitational relationship of Medan city to the hinterland of the city of Binjai. Furthermore, this study also wants to explain its influence on economic growth in both cities. This analysis tools used are descriptive statistics, gravity models, unit root test, co-integration test, optimal lag, VECM, Granger causality test, impulse response function, and variance decomposition. The results showed that the city of Medan has a gravity style greater than the gravitational style of the city of Binjai. The VECM estimation results show that the gravitational variable in the city of Binjai in lag -1 and lag-2 has a positive and significant effect on the economy of Medan city. Then the economic variable of the city of Binjai itself in lag-1, the population of the city of Medan in lag-2 and the gravity of the city of Medan in lag-2 had a positive and significant effect on the economy of Binjai city. While the variable population of Binjai city in lag -1 and residents of the city of Medan in lag -1 negatively affected the economy of Binjai city.

scholarly journals Islamic Finance and Economic Growth Nexus: An Econometric Analysis

2019 ◽  
Vol 2 (1) ◽  
pp. 11-22
Author(s):  
Kashif Raza ◽  
Rashid Ahmad ◽  
Muhammad Abdul Rehman Shah ◽  
Muhammad Umar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Unit Root Test ◽  
Least Square ◽  
Series Data ◽  
Islamic Finance ◽  
Causality Test ◽  
Economic Agents ◽  
Fixed Capital Formation

Researchers have written chain of research papers about the dynamics of financial development and economic growth. The financial capital plays a productive role when it delivers to economic agents who are facing shortage or excess of funds.  This study explores the linkages among Islamic financing and economic growth for Pakistan, by using annual time series data from 2005-2018. Islamic banks’ financing funds used as a proxy of Islamic financing, Gross Domestic Product (GDP), Gross Fixed Capital Formation (GFCF), labor force (LF),Broad money(M) and Trade openness (TO) to presents real sector of an economy. For the exploration, the unit root test, Ordinary least square technique and Granger causality test are applied. The results validate a substantial causal relationship of Islamic financing and GDP, which supports the Schumpeter’s supply-leading view. The results indicate that Islamic finance contributed towards economic growth.  

scholarly journals Causal Relationship between Foreign Direct Investment and Economic Growth in Nigeria: 1970-2013

2015 ◽  
Vol 7 (11) ◽  
pp. 230 ◽  
Author(s):  
Uwazie I. U. ◽  
Igwemma A. A. ◽  
Nnabu Bernard Eze
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Unit Root ◽  
Direct Investment ◽  
Developing Economies ◽  
Unit Root Test ◽  
Annual Data ◽  
Policy Reforms ◽  
Causality Test ◽  
Long Run

Foreign direct investment is presumed to play immense role in economic growth in both developed and developing economies. This assumption has motivated the army of studies to actually determine the nexus between foreign direct investment and economic growth in Nigeria. But these studies were not unified on the direction of the causation, hence the need for the study. To effectively analyze the result, the study employs vector error correction model method of causality to analyze the annual data for the periods of 1970 to 2013. The Augmented Dickey-Fuller (ADF) unit root test show presence of unit root at level but stationary after first difference. The Johansen cointegration test confirms that the variables are cointegrated while the granger causality test affirms that foreign direct investment and economic growth reinforce each other in the short run in Nigeria. Also, it is reported that foreign direct investment granger cause economic growth both in the short and long run in Nigeria. Based on these findings, the study advocates the adoption of aggressive policy reforms to boost investors’ confidence and promotion of qualitative human capital development to lure FDI into the country. It also suggests the introduction of selective openness to allow only the inflow of FDI that have the capacity to spillover to the economy. These will attract FDI and boost economic growth in Nigeria.

scholarly journals Co-integration of Groundnut Markets in India with Special Reference to Karnataka State

2020 ◽  
pp. 14-22
Author(s):  
Akshata Nayak ◽  
H. Lokesha ◽  
C. P. Gracy
Keyword(s):  
Market Integration ◽  
Unit Root Test ◽  
Groundnut Oil ◽  
Step Method ◽  
Causality Test ◽  
Price Series ◽  
Long Run ◽  
Oil Markets ◽  
Integration Test ◽  
The Government

Aims: Market integration is an indicator that explains how different markets are related to each other. The main aim of the paper is to examine the market integration of groundnut seed and oil markets in India.  Study Design: This paper examines the market integration in six major groundnut oil markets and four groundnut pod markets using monthly wholesale prices of groundnut. Methodology: Test for stationarity was done using Dickey Fuller Test. The Engle-Granger two-step method is used to test for co-integration between the variables. Johansen co-integration test was applied to analyse the long run equilibrium among the groundnut markets. Results: Unit root test indicated that the price series in each location are non-stationary at their levels and stationary at their first differences. The Granger causality test indicated that all the market pairs are well co-integrated, some of the markets have bidirectional relationship and some have unidirectional relationship at five per cent level of significance, which implies that the groundnut prices have an equally long run association. Conclusion: In overall, the study suggests that regional markets for groundnut in India are strongly co-integrated. Therefore, the Government can stabilize the price in one key market and rely on commercialization to produce a similar outcome in other markets. This reduces the cost of stabilization considerably.

scholarly journals HINTERLAND MEDAN CITY BETWEEN BINJAI CITY: A GRAVITATION APPROACH

2019 ◽  
Vol 17 (1) ◽  
pp. 94
Author(s):  
Muhammad Nasir
Keyword(s):  
Confidence Level ◽  
Time Series Data ◽  
Impulse Response Function ◽  
Unit Root Test ◽  
Gravity Models ◽  
Series Data ◽  
Causality Test ◽  
Integration Test ◽  
Relationship Of ◽  
The City

Regional economy explains that there is an urban hierarchical relationship, cities that have higher hierarchy will serve cities that are below it as well as cities that are in hierarchy under supplying cities that are in the hierarchy above them, so there is a gravitational relationship between the two. This study aims to determine the gravitational relationship of Medan city to the hinterland of the city of Binjai. Furthermore, this study also wants to explain its influence on economic growth in both cities. This study uses time series data from 1990-2016, taken from North Sumatera BPS test equipment and analysis tools used are descriptive statistics, gravity models, unit root test, co-integration test, optimal lag, VECM, granger causality test, impulse response function and variance decomposition. The results showed that the city of Medan has a gravity style greater than the gravitational style of the city of Binjai. This is because the city of Medan has a larger area, population, income per capita compared to the city of Binjai. The VECM estimation results show that the gravitational variable in the city of Binjai in lag -1 and lag-2 has a positive and significant effect on the economy of Medan city with a confidence level of 95%. Then the economic variable of the city of Binjai itself in lag-1, the population of the city of Medan in lag-2 and the gravity of the city of Medan in lag-2 had a positive and significant effect on the economy of Binjai city with a confidence level of 95%. While the variable population of Binjai city in lag -1 and residents of the city of Medan in lag -1 negatively affected the economy of Binjai city with a confidence level of 95%.

scholarly journals Dynamic Relationships among Crude oil price, exchange rate and BSE Sensex

2018 ◽  
Vol 13 (02) ◽  
Author(s):  
Roshan Kumar ◽  
Manisha Gupta
Keyword(s):  
Crude Oil ◽  
Stock Prices ◽  
Time Series Data ◽  
Research Work ◽  
Unit Root Test ◽  
Series Data ◽  
Causality Test ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Integration Test

The study examined Dynamic relationship among crude oil prices, exchange rates and stock prices in India for the duration January 2006 to December 2016 using daily data. The research work include the testing for a unit root test in time series data, then it testing the number of co-integrating vectors in the system. In the next step we use the johansen co integration test to examine the relationship among variables. At the last Granger causality test is used to estimating the direction of causality among the variables

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