scholarly journals How do Capital Goods Index, Metal Index and Oil and Gas Index explain the rising Auto Index?

2021 ◽  
Vol 9 (10) ◽  
pp. 1608-1616
Author(s):  
Kanika Gupta
Keyword(s):  
Oil And Gas ◽  
Capital Goods ◽  
Correction Model ◽  
Vector Error Correction ◽  
Indian Economy ◽  
Vector Error ◽  
Long Run ◽  
Metal Index ◽  
Relationship Of ◽  
The Relationship

Abstract: The automobile sector holds a noteworthy position in the Indian economy. Resurgence of the sector from the shortterm slump it experienced in 2019 and the advent of electronic vehicle revolution is certain to bring about remarkable changes in the industry. Additionally, sector’s image as a bellwether of economic conditions makes it an all the more intriguing sphere to study. The paper examines the relationship between auto index, capital goods index, metal index and oil and gas index. All the indices have followed an upward trajectory in the past years. The aim is to study if these movements are related to each other through tools of Johansen Tests of Cointegration and Vector Error Correction Model (VECM). The result confirms a long-run direct relationship between the auto index and capital goods index. However, such a relationship of the auto index with the other two indices in the study remains uncertain. The data does not clearly support a conclusion in their case. Keywords: Automobile sector, Indian economy, auto index, capital goods index, metal index, oil and gas index, VECM

scholarly journals Analysis of Internal and External Determinant Variables towards Profitability of Islamic Banking in Indonesia (2014-2020)

2021 ◽  
Vol 4 (1) ◽  
pp. 18-34
Author(s):  
Febri Ramadhani ◽  
Muhammad Rizkan
Keyword(s):  
Negative Relationship ◽  
Banking System ◽  
Islamic Banking ◽  
Correction Model ◽  
Factors Affecting ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Relationship Of

Indonesia is a country that adheres to a dual banking system, namely conventional and Islamic Banking. The growth rate of Islamic banking in the last three years is higher than conventional banking. However, in total assets, Islamic banking is still far behind conventional banking. Therefore, it is necessary to study further the performance of Islamic banking reflected in its profitability. So, it becomes an alternative input in determining Islamic banking policies. This study aims to know the factors affecting the profitability (ROA) of Islamic Banking in Indonesia. The data used are the 2014-2020 monthly data in the amount of 79 data. The method used in this study is a Vector Error Correction Model (VECM) to determine the effect of long-run and short-run relationships. The results of the study showed that the long-run relationship of the NPF variable affected and was significant positive toward ROA, CAR affected and was significant negative toward ROA, while the inflation variable had a negative relationship and not significant toward ROA. The results of the short-run relationships showed that the NPF and CAR variables positively affected ROA, while the inflation variable did not significantly affect the ROA.

scholarly journals Savings Mobilization and Financial Development during the Multicurrency Regime Period in Zimbabwe

2017 ◽  
Vol 9 (3(J)) ◽  
pp. 152-162
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Financial Development ◽  
Time Series Data ◽  
Empirical Literature ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Subject ◽  
The Relationship

This paper seeks to investigate the relationship between savings and financial development in Zimbabwe using both autoregressive distributive lag (ARDL) and vector error correction model (VECM) approaches for comparison purposes with monthly time series data from January 2009 to August 2015. Four distinct hypotheses emerged from the literature and these are the savings-led financial development, financial development-led savings, feedback effect and the insignificant/no relationship hypothesis. The existence of diverging and contradicting views in empirical literature on the subject matter is evidence that the linkage between savings and financial development is still far from being concluded. Both F-Bounds and Johansen co-integration tests observed that there is a long run relationship between savings and financial development in Zimbabwe. What is even more unique about this study is that both ARDL and VECM noted the presence of a bi-directional causality relationship between savings and financial development in the short and long run in Zimbabwe. The implication of this study is that in order to increase economic growth, Zimbabwe authorities should increase savings mobilization efforts in order to boost financial development, which in turn attracts more savings inflow into the formal financial system.

scholarly journals An Econometric Analysis of Inflation and Unemployment in Lebanon: A Vector Error Correction Model (VECM)

2018 ◽  
Vol 10 (2) ◽  
pp. 133
Author(s):  
Mohammad Khanssa ◽  
Wafaa Nasser ◽  
Abbas Mourad
Keyword(s):  
Phillips Curve ◽  
Vector Error Correction Model ◽  
Econometric Modeling ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Causality Relationship ◽  
The Relationship

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.

scholarly journals The Trade-Off Between Tourism and Pollution for Japanese Economic Growth

Tourism ◽  
2021 ◽  
Vol 69 (3) ◽  
pp. 381-394
Author(s):  
Giovanni Bella ◽  
Carla Massidda
Keyword(s):  
Economic Growth ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Correction Model ◽  
Trade Off ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Polluting Emissions ◽  
The Relationship

This paper proposes a vector error correction model to investigate the relationship between polluting emissions and GDP levels in Japan, in the period 1970-2014, and tests the validity of the Environmental Kuznets Curve (EKC) hypothesis driven by tourist arrivals. Our results validate the existence of two different causality channels among the selected variables. In particular, we find that a trade-off might exist between increasing the number of tourists, which drives economic growth, and the pattern of a sustainable development, due to the increase of polluting emissions. The analysis allows us to propose appropriate policy strategies to promote a robust and sustainable long run economic growth.

scholarly journals Does Uncertainty Matter for Trade - Economic Growth Nexus in Indonesia?

2021 ◽  
Vol 67 (1) ◽  
pp. 147
Author(s):  
Panky Tri Febiyansah ◽  
Bintang Dwitya Cahyono ◽  
Rio Novandra
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Output Growth ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Impact ◽  
The Relationship

This paper aims to test the impact of uncertainty on the causal relationship among exports, imports, and economic growth in Indonesia. The relationship is constructed by examining the presence of FDI-adjusted exports and imports (trade) and the output link using conditional variances-covariances derived from the generalized autoregressive conditional heteroskedastic (GARCH) process in a vector error correction model (VEC-GARCH model). Using evidence in Indonesia, the model exposes the uni-directional nexus from trade performance to trade-adjusted output growth in the absence of uncertainty. The volatility effects are evident in the causal relationship between trade and output. The finding shows that the uncertainty effects hamper the trade-economic growth nexus. Incorporated with the long-run causality, trade still causes output even after containing the contributions of volatility. The significant role of imports highlights the higher demand for intermediate capital products and the inclusion of technology in strengthening economic growth.

scholarly journals The Relationship between Coal Consumption and Economic Growth in Indonesia

2018 ◽  
Vol 2 (1) ◽  
pp. 12
Author(s):  
Irwandi Irwandi
Keyword(s):  
Economic Growth ◽  
Control Variable ◽  
Coal Consumption ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Export Tax ◽  
The Relationship

Indonesia is one of the largest coal producer countries in the world. In the previous research, it is stated that coal producer countries are able to affect economic growth. The purpose of the study is to investigate the co-integration and causal relationships between coal consumption and income in Indonesia for the period of 1965-2016 using Granger causality test based on Vector Error Correction Model (VECM) employing population as the control variable in bivariate system. The Augmented Dicky-Fuller (ADF) and Phillips-Perron (PP) tests were used to determine the variable stationarity. From Johansen’s co-integration tests, it is indicated that there is a long-run relationship between the variables. The empirical study shows that there is no causal relationship between coal consumption and economic growth in Indonesia since coal consumption in fact cannot affect economic growth in Indonesia. Export tax becomes government revenues earned from energy sectors including coal.

scholarly journals Price Discovery Mechanism in Spot and Futures Market of Agricultural Commodities: The Case of India

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Minakshi .
Keyword(s):  
Price Discovery ◽  
Emerging Market ◽  
Futures Prices ◽  
Correction Model ◽  
Vector Error Correction ◽  
Spot Prices ◽  
Vector Error ◽  
Long Run ◽  
The Relationship

There has been increasing focus by emerging market researchers, policymakers and regulators for investigating price discovery, relationship between future and physical market and accessible trading and risk management instruments for the benefit of various stakeholders and thus contributing to the development of literature. The central question of this paper is examining the role of influence of one market on the other and the role of each market segment in price discovery in the Indian context. Johansen Vector Error Correction Model (VECM) has been employed to examine the relationship between the spot and futures prices. The cointegration results do not confirm the existence of long-run relationship between spot and futures prices. It is thus, implied that futures prices unlikely serve as market expectations of subsequent spot prices of selected agri-commodities in India and do not help in price discovery process.

scholarly journals Savings Mobilization and Financial Development during the Multicurrency Regime Period in Zimbabwe

2017 ◽  
Vol 9 (3) ◽  
pp. 152
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Financial Development ◽  
Time Series Data ◽  
Empirical Literature ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Subject ◽  
The Relationship

This paper seeks to investigate the relationship between savings and financial development in Zimbabwe using both autoregressive distributive lag (ARDL) and vector error correction model (VECM) approaches for comparison purposes with monthly time series data from January 2009 to August 2015. Four distinct hypotheses emerged from the literature and these are the savings-led financial development, financial development-led savings, feedback effect and the insignificant/no relationship hypothesis. The existence of diverging and contradicting views in empirical literature on the subject matter is evidence that the linkage between savings and financial development is still far from being concluded. Both F-Bounds and Johansen co-integration tests observed that there is a long run relationship between savings and financial development in Zimbabwe. What is even more unique about this study is that both ARDL and VECM noted the presence of a bi-directional causality relationship between savings and financial development in the short and long run in Zimbabwe. The implication of this study is that in order to increase economic growth, Zimbabwe authorities should increase savings mobilization efforts in order to boost financial development, which in turn attracts more savings inflow into the formal financial system.

scholarly journals Inflation, Unemployment and NAIRU Estimate in Indonesia: Phillips Curve Approach

2018 ◽  
Vol 51 (3-4) ◽  
pp. 24-32
Author(s):  
Nurul Hafnati ◽  
Sofyan Syahnur
Keyword(s):  
Phillips Curve ◽  
Wald Test ◽  
Analysis Model ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Relationship

The present study was carried out to analyze the relationship between inflation and unemployment in NAIRU estimate in Indonesia through Phillips curve approach during 25 years data from 1991-2016. The analysis model used in this research was Vector Error Correction Model (VECM) as attempts to determine the long run and short run relationships between inflation and unemployment matters in Indonesia. The results of Granger causality test indicated two-way relationship between inflation and unemployment in Indonesia. The formulated results on long run estimate pointed out that unemployment delivered negative and significant effects on inflation. Nonetheless, Wald Test designated that there was a short run relationship between inflation and unemployment

scholarly journals Free Trade: Does Myopic Policy Overlook Long-Term Gains?

2017 ◽  
Vol 22 (2) ◽  
pp. 65-88
Author(s):  
Maryiam Haroon
Keyword(s):  
Trade Liberalization ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Myopic Policy ◽  
The Relationship

This article analyzes the correlation between trade liberalization and welfare in Pakistan from 1986 to 2015. Using consumption expenditure as a measure of welfare, we estimate the relationship using a vector error correction model. The empirical results show that trade liberalization does not have an immediate correlation with welfare: it takes some time for liberalization policies to enhance welfare. The findings also suggest that trade liberalization can help reduce poverty, decrease inequality and increase enrollment levels in the long run. But in the short run, trade liberalization has led to higher income inequality.

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