• 제목/요약/키워드: VECM Model

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The Relationship Between Urbanization, Education, and GDP Per Capita in Indonesia

  • HARYANTO, Tri;ERLANDO, Angga;UTOMO, Yoga
    • The Journal of Asian Finance, Economics and Business
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    • 제8권5호
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    • pp.561-572
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    • 2021
  • This study aims to analyze the causality between GDP per capita, urbanization, and education. This also aims to determine the long-term and short-term relationships between economic urbanization, education, and GDP per capita by applying Vector Error Correction Model (VECM). Data was obtained from the World Bank and UNDP from 1990 to 2018. The estimation results showed that economic growth and education on urbanization have the strongest causality in VECM. Therefore, they are pull factors with a significant effect in the long and the short term. Some suggestions concerning policy implications were stated, and they include: forming area-based urbanization, where cities within one area are integrated, to get the impact of an agglomeration economy. Also, the government needs to accelerate the distribution of infrastructure and public facilities in various regions to avoid population density in one area due to urbanization, and government needs to pay attention to easier access to education and more equitable ones in various regions. On the contrary, after education is evenly distributed in all regions, the government needs to pay attention to transportation access and infrastructure.

The Role of FDI in Economic Development in Vietnam + 5 Nations: Empirical Evidence between 1986-2020

  • Long Ma, LE
    • The Journal of Asian Finance, Economics and Business
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    • 제10권2호
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    • pp.203-212
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    • 2023
  • This research work aims to investigate the role of FDI in Economic Development by assessing its relationship with GDP per capita in Vietnam +5 from 1986-2020. Through descriptive statistical, correlation matrix analysis, and econometric models, including Vector Error Correction Model (VECM) and Feasible Generalized Least Squares (FGLS) estimation methods using Stata 15.1. The VECM estimation method results show that FDI positively impacts Economic Development in the short run while not finding a long-run relationship. In addition, it is found that a clear relationship between Exports and Economic Development in both the short run and the long run. Meanwhile, CO2 emissions and Employment Opportunities have no clear relationship with Economic Development in the short run. However, the relationship is reversed in the long run, as the empirical study in Vietnam. The results of the FGLS estimation method show that FDI, CO2 emissions, and Exports have a significant and positive impact on Economic Development in five selected Southeast Asian countries without Employment Opportunities in the long run. From these findings, the author proposes some policy implications of attaching FDI to sustainable Economic Development in Vietnam next time.

Information Transmission of Volatility between WTI and Brent Crude Oil Markets

  • Kang, Sang Hoon;Yoon, Seong-Min
    • 자원ㆍ환경경제연구
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    • 제22권4호
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    • pp.671-689
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    • 2013
  • Transmission mechanisms of volatility between two crude oil markets (WTI and Brent markets) have drawn the attention of numerous academics and practitioners because they both play crucial roles in portfolio and risk management in crude oil markets. In this context, we examined the volatility linkages between two representative crude oil markets using a VECM and an asymmetric bivariate GARCH model. First, looking at the return transmission through the VECM test, we found a long-run equilibrium and bidirectional relationship between two crude oil markets. However, the estimation results of the GARCH-BEKK model suggest that there is unidirectional volatility spillover from the WTI market to the Brent market, implying that the WTI market tends to exert influence over the Brent market and not vice versa. Regarding asymmetric volatility transmission, we also found that bad news volatility in the WTI market increases the volatility of the Brent market. Thus, WTI information is transmitted into the Brent market, indicating that the prices of the WTI market seem to lead the prices of the Brent market.

An Exploration of Dynamical Relationships between Macroeconomic Variables and Stock Prices in Korea

  • Lee, Jung Wan;Brahmasrene, Tantatape
    • The Journal of Asian Finance, Economics and Business
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    • 제5권3호
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    • pp.7-17
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    • 2018
  • This paper examines short-run and long-run dynamic relationships between selected macroeconomic variables and stock prices in the Korea Stock Exchange. The data is restricted to the period for which monthly data are available from January 1986 to October 2016 (370 observations) retrieved from the Economic Statistics System database sponsored by the Bank of Korea. The study employs unit root test, cointegration test, vector error correction estimates, impulse response test, and structural break test. The results of the Johansen cointegration test indicate at least three cointegrating equations exist at the 0.05 level in the model, confirming that there is a long-run equilibrium relationship between stock prices and macroeconomic variables in Korea. The results of vector error correction model (VECM) estimates indicate that money supply and short-term interest rate are not related to stock prices in the short-run. However, exchange rate is positively related to stock prices while the industrial production index and inflation are negatively related to stock prices in the short-run. Furthermore, the VECM estimates indicate that the external shock, such as regional and global financial crisis shocks, neither affects changes in the endogenous variables nor causes instability in the cointegrating vector. This study finds that the endogenous variables are determined by their own dynamics in the model.

환율변동성이 우리나라 컨테이너 수출입 물동량에 미치는 영향 분석 (Analysis of the Effect of Exchange Rate Volatility on Export & Import Container Volumes in Korea)

  • 안경애
    • 무역상무연구
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    • 제75권
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    • pp.95-116
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    • 2017
  • The global financial crisis has slowed overall growth in the global economy. In addition, uncertainty is increasing in the world economy due to the Trade protectionism, sluggish world trade, and a rise in the rate of interest caused by expansion of fiscal spending by major countries. In this study, we analyzed various factors affecting the container import and export volume, which has a high correlation with export and import of commodities in international trade. In particular, we will examine how exchange rate fluctuations and domestic and overseas economic conditions affect container imports and exports. For the empirical analysis, monthly time series data were used from January 2000 to January 2017. We use the Error Correction Model (VECM) for the empirical analysis and the GARCH model for the exchange rate fluctuation. As a result, container export and import volume had a negative relationship with exchange rate and exchange rate volatility, which had a positive effect on domestic and international economic conditions. However, the effects are different before and after the financial crisis.

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The COVID-19 Pandemic and Instability of Stock Markets: An Empirical Analysis Using Panel Vector Error Correction Model

  • ABDULRAZZAQ, Yousef M.;ALI, Mohammad A.;ALMANSOURI, Hesham A.
    • The Journal of Asian Finance, Economics and Business
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    • 제9권4호
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    • pp.173-183
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    • 2022
  • The objective of this research is to examine the influence of the COVID-19 pandemic on stock markets in a few developing and developed countries. This study uses daily data from January 2020 to May 2021 and obtained from World Health Organization and Thomson Reuters. The secondary data was evaluated through panel econometric methodology that includes different unit root tests, and to analyze the long-run relationship between variables, panel cointegration techniques were applied. The long-run causality among variables was examined through Panel Vector Error Correction Model. The overall findings of this study suggest a long-run association exists between several cases and death with the stock returns of the GCC and other stock markets. Furthermore, the VECM model also identified a long-run causality running from COVID cases and death towards the stock rerun of both sets of stock markets. However, a subsequent Wald test yielded mixed results, indicating no short-run causality between cases and deaths and stock returns in both groups; however, in the case of GCC, several COVID-19 cases are having a causal impact on stock markets, which is notable in light of the fact that the death rate in GCC is significantly lower than in many developed and developing countries.

초대형 원유운반선 운임에 영향을 미치는 주요 요인에 관한 연구 (A Study on Key Factors Affecting VLCC Freight Rate)

  • 안영균;고병욱
    • 해운물류연구
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    • 제34권4호
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    • pp.545-563
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    • 2018
  • 본 연구의 목적은 VLCC(Very Large Crude Oil Carrier) 운임에 영향을 미치는 주요 결정요인의 장기적 탄성치를 추정하는 것이다. 이를 위해 본 연구는 영국 해운 전문 기업인 클락슨이 공표하는 연간 VLCC 운임을 종속변수로, 원유(Crude oil) 물동량, VLCC 선복량, 벙커유 가격, Libor 금리를 설명변수로 사용하였다. 본 연구는 벡터오차수정모형(Vector Error Correction Model; VECM)을 사용하여 운임 결정 장기균형함수를 추정하였으며, 추정결과 물동량 1.0% 증가 시 운임 6.4% 증가, 선복량 1.0% 증가 시 운임 1.9% 감소, 벙커유 가격 1.0% 증가 시 운임 0.3% 감소, 금리 1.0% 증가 시 운임은 0.18% 증가하는 것으로 나타났다. 벙커유 가격의 경우 일반적인 직관과 반대되는 마이너스(-) 부호로 계수가 추정되었는데, 이는 설명변수 중 벙커유 가격이나 금리 등의 2차 변수가 운임에 미치는 영향력은 적은 반면 직접적인 수급 변수가 운임을 결정하는 주요 요인이기 때문인 것으로 이해된다. 후속연구에서 컨테이너선, 건화물선 등 다른 선종들을 대상으로 연구를 수행하고 다양한 선종별 운임의 결정요인을 비교 분석하는 것이 필요하다.

산업재해 발생이 산업생산성에 미치는 효과 (An Influence of Industrial Accident on Industrial Productivity in Korea)

  • 이재희;임진석;박진백
    • 한국안전학회지
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    • 제36권1호
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    • pp.50-55
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    • 2021
  • This study aims to analyze an influence of industrial accident on industrial productivity. We analyzed relationship among industrial accident, labor force, and industrial productivity using vector error correction model (VECM). The data used in the analysis were the number of industrial accidents, the number of workers, and index of all industry production from January 2008 to June 2017 in Korea. Finally, the industrial accidents have played a role in reducing labor force and industrial productivity.

The Nexus between Urbanization, Gross Capital Formation and Economic Growth: A Study of Saudi Arabia

  • KHAN, Uzma
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.677-682
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    • 2020
  • To investigate the nexus between urban population, gross capital formation, and economic growth in the Kingdom of Saudi Arabia, yearly data was collected from the World Bank for the period 1974- 2018. Basic statistics test and correlation matrix was used to investigate the causal effect among the tested parameters, followed by Augmented Dickey-Fuller (ADF) stationary test, co-integration analysis by Johansen test after that Vector Auto-Correction Model for both short-run and long-run and finally the Granger-Causality tests. Result of unit root test analysis shows that the urban population became stationary at I (0) level while economic growth and gross capital formation became stationary at I (1). Johansen co-integration analysis indicates that there is presence of both long-run and short-run relationship between the three variables in the Kingdom of Saudi Arabia. The result of the VECM Model reflects that both economic growth and gross capital formation have a negative impact on urban population in the short run. According to the Granger-Causality tests, there is unidirectional causality with the urban population by both gross capital formation and economic growth. Also, the result of the Granger Causality tests show that there is unidirectional causality between economic growth and gross capital formations.

정보통신산업 공공 연구개발(R&D)투자의 파급효과 분석 (Impulse Responses Analysis of Government and Public Sector R&D in IT Industry)

  • 양창준;홍정식;고상원
    • 경영과학
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    • 제25권3호
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    • pp.13-26
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    • 2008
  • We investigate the effect of government and public sector R&D Investment at IT Industry on the amount of Production, export and nongovernment R&D Investment at IT Industry. We, firstly, examine the stationarity of each variable by the unit root t-test and perform the co-integration test for the pairs of variables. We use YECM(Vector Error Correction Model) according to the results of co-integration test for the examination of Granger-causality between variables. It is found that there exist an Granger-causality between public sector R&D Investment and nongovernment R&D investment and also between public sector R&D Investment and export. Secondly, we analyze the impulse response of government and public sector R&D Investment at IT Industry on the amount of production, export and nongovernment R&D investment at IT Industry based on VECM model. It is found that the response of the amount of production is highest at 3th period and is lowest at 8th period and that of export shows similar pattern.