• 제목/요약/키워드: Cointegration and error-correction

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The Impact of Product Distribution and Information Technology on Carbon Emissions and Economic Growth: Empirical Evidence in Korea

  • Lee, Jung Wan
    • The Journal of Asian Finance, Economics and Business
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    • 제1권3호
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    • pp.17-28
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    • 2014
  • The paper deals with the impact of the product distribution and information technology sectors on energy resource use, carbon emissions and economic growth by examining the long-run equilibrium relationships and Granger causal relationships among these variables in South Korea. The quarterly time series data from the first quarter of 1970 to the third quarter of 2010 (163 observations) are collected and retrieved from the Bank of Korea database. The paper examines the long-run equilibrium relationships using cointegration techniques and Granger causality using vector error correction models. Test results indicate a long-run equilibrium relationship exists among these variables. In testing directional causality, both the product distribution and the information technology sectors show direct effects on economic growth but only marginal effects on carbon emissions.

Lead-Lag Relationships between Import Commodity Prices and Freight Rates: The Case of Raw Material Imports of Korea

  • Kim, Chi-Yeol;Park, Kwang-So
    • Journal of Korea Trade
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    • 제23권2호
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    • pp.34-45
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    • 2019
  • Purpose - This study investigates the lead-lag relations between the prices of major commodities imported into Korea and corresponding shipping freight rates. This paper aims to provide implications for cross-market causal relations between related economic segments. Design/Methodology - For economic long-run equilibrium between commodity prices and freights, a Johansen (1988) cointegration test is employed first. Then, Granger (1987) causality tests are performed under the vector error correction model (VECM) framework. Findings - The results indicate that the direction of causality varies by raw materials, which is attributable to different economic mechanisms in the corresponding shipping transportation sectors. In addition, the significance of causality becomes blurred during the post-2008 period. Practical Implication - Corporate managers in commodity trading, steelmaking, power generation, and oil refinery sectors can take advantage of the findings in this study as identifying leading economic indicators can be helpful for decision making in both short- and long-term strategies. Originality/value - This study is the first attempt to analyze the inter-relations between commodity prices and corresponding freight rates focusing on raw material imports of Korea.

Long-Run Exchange Rates, Price Levels, and Purchasing Power Parity: Cointegration Tests of Five Korea Trading Partners' Currencies

  • Gong, Jai-Sik
    • 재무관리논총
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    • 제6권1호
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    • pp.313-334
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    • 2000
  • In this paper, we obtained some supportive evidence for the long-run PPP relationship concerning the Korean Won currency. Previous tests of PPP in the bilateral exchange rates of the Korean Won rate vis-a-vis the U.S. Dollar have been exposed to the lack of power problem. We argue that their failure to find PPP relation in Korean Won rates was due to the low power of Augmented Dickey-Fuller tests or the Engle-Granger two-step tests applied to the Korean exchange rate data with short sample period. En attempting to alleviate this low power problem, we used the error-correction model test and the Johansen test for bilateral long-run equilibrium relationships between exchange rates and price indices from Korea's major trading partners. It is surprising that our evidence supporting for long-run PPP in Korean Won rate contrasts sharply with Bahmani-Oskooee, Moshen and Rhee, Hyun-Jae(1992)'s.

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VECM모형을 이용한 국내 희유금속의 수요예측모형 (A Study on Demand Forecasting Model of Domestic Rare Metal Using VECM model)

  • 김홍민;정병희
    • 품질경영학회지
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    • 제36권4호
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    • pp.93-101
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    • 2008
  • The rare metals, used for semiconductors, PDP-LCS and other specialized metal areas necessarily, has been playing a key role for the Korean economic development. Rare metals are influenced by exogenous variables, such as production quantity, price and supplied areas. Nowadays the supply base of rare metals is threatened by the sudden increase in price. For the stable supply of rare metals, a rational demand outlook is needed. In this study, focusing on the domestic demand for chromium, the uncertainty and probability materializing from demand and price is analyzed, further, a demand forecast model, which takes into account various exogenous variables, is suggested, differing from the previously static model. Also, through the OOS(out-of-sampling) method, comparing to the preexistence ARIMA model, ARMAX model, multiple regression analysis model and ECM(Error Correction Mode) model, we will verify the superiority of suggested model in this study.

Cointegration Analysis with Mixed-Frequency Data of Quarterly GDP and Monthly Coincident Indicators

  • Seong, Byeongchan
    • 응용통계연구
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    • 제25권6호
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    • pp.925-932
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    • 2012
  • The article introduces a method to estimate a cointegrated vector autoregressive model, using mixed-frequency data, in terms of a state-space representation of the vector error correction(VECM) of the model. The method directly estimates the parameters of the model, in a state-space form of its VECM representation, using the available data in its mixed-frequency form. Then it allows one to compute in-sample smoothed estimates and out-of-sample forecasts at their high-frequency intervals using the estimated model. The method is applied to a mixed-frequency data set that consists of the quarterly real gross domestic product and three monthly coincident indicators. The result shows that the method produces accurate smoothed and forecasted estimates in comparison to a method based on single-frequency data.

Econometric Analysis of the Determinants of Real Effective Exchange Rate in the Emerging ASEAN Countries

  • RAKSONG, Saranya;SOMBATTHIRA, Benchamaphorn
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.731-740
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    • 2021
  • This research aims to investigate the determinants of real effective exchange rate in emerging ASEAN countries, including Indonesia, Malaysia, Philippines, Thailand, and Vietnam. The research was conducted by using quarterly time series data set from 1980Q1 to 2020Q3. Cointegration and the error correction model (ECM) methods were applied to test the long run and short run relationship of the real effective exchange rate and its determinants. The results indicate that the ratio of foreign direct investment to GDP and the government spending have significantly positive impact on real effective exchange rate in the Emerging ASEAN countries. The trade opening had influencing real effective exchange rate in most the Emerging ASEAN countries, except Vietnam. In addition, the international reserve (INR) had significant long-run impacts variables on real effective exchange rate in Malaysia, Thailand and Vietnam. In the short run equilibrium, the error collection term suggest that Indonesia and Malaysia are the fastest speed adjustment to equilibrium. In addition, the term of trade influence the real effective exchange rate in Indonesia, Malaysia, and the Philippines but it is not in Thailand and Vietnam. However, FDI is a major factor of the real effective exchange rate in Vietnam, but not for other countries.

Do Real Interest Rate, Gross Domestic Savings and Net Exports Matter in Economic Growth? Evidence from Indonesia

  • SUJIANTO, Agus Eko;PANTAS, Pribawa E.;MASHUDI, Mashudi;PAMBUDI, Dwi Santosa;NARMADITYA, Bagus Shandy
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.127-135
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    • 2020
  • This study aims to measure the effects of real interest rate (RIR), gross domestic savings (GDS), and net exports (EN) shocks on Indonesia's economic growth (EG). The focus on Indonesia is unique due to the abundant resources available in the nation, but they are unsuccessful in boosting economic growth. This study applied a quantitative method to comprehensively analyze the correlation between variables by employing Vector Autoregression Model (VAR) combined with Vector Error Correction Model (VECM). Various procedures are preformed: Augmented Dickey-Fuller test (ADF), Optimum Lag Test, Johansen Cointegration Test, Granger Causality Test, as well as Impulse Response Function (IRF) and Error Variance Decomposition Analysis (FEVD). The data were collected from the World Bank and the Asian Development Bank from 1986 to 2017. The findings of the study indicated that economic growth responded positively to real interest rate shocks, which implies that when the real interest rate experiences a shock (increase), the economy will be inclined to growth. While, economic growth responded negatively to gross domestic savings and net export shocks. Policymakers are expected to consider several matters, particularly the economic conditions at the time of formulating policy, so that the prediction effectiveness of a policy can be appropriately assessed.

ARIMA와 VAR·VEC 모형에 의한 부산항 물동량 예측과 관련성연구 (Study on the Forecasting and Relationship of Busan Cargo by ARIMA and VAR·VEC)

  • 이성윤;안기명
    • 한국항해항만학회지
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    • 제44권1호
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    • pp.44-52
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    • 2020
  • 세계적인 장기경기침체 속에서 보다 정확한 물동량 예측은 항만정책 수행에 중요하다. 따라서, 본 연구에서는 부산항 컨테이너 물동량(수출입화물과 환적화물)을 단변량 모형인 ARIMA 뿐만 아니라 인과관계가 있을 것으로 예상되는 경제규모(한국, 중국, 미국의 국내총생산), 금리수준 그리고 경기변동을 고려한 벡터자기회귀모형과 벡터오차수정모형을 활용하여 추정하고 비교하였다. 측정자료는 2014년 1월부터 2019년 8월까지 월별 부산항 컨테이너 물동량이다. 분석결과에 의하면, 수출입물동량 시계열은 비교적 안정적(stationary)이어서 VAR에 의해 추정하였고 환적화물은 불안정적(non-stationary)하지만, 경제규모, 금리 및 경기변동과 공적분(장기적인 균형관계)를 띠고 있어 VEC모형으로 추정하였다. 추정결과, 안정적인 수출입화물 추정에서는 단변량 모형인 ARIMA가 우수하고 추세가 있는 환적화물은 다변량모형인 VEC모형이 보다 예측력이 우수한 것으로 나타나고 있다. 특히 수출입화물은 우리나라 경제규모와 관련이 있고, 환적화물은 중국과 미국 경제규모와 밀접한 관련이 있다. 또한 중국 경제규모가 미국에 비하여 더 밀접하게 나타나고 있어 환적화물 증대전략에 시사점을 주고 있다.

수입 수산물과 국내산 수산물의 가격간 유통단계별 인과성 분석 : 명태, 갈치, 조기 냉동품을 대상으로 (A Causality Analysis of the Prices between Imported Fisheries and Domestic Fisheries in Distribution Channel)

  • 차영기;김기수
    • 수산경영론집
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    • 제40권2호
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    • pp.105-126
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    • 2009
  • This study applies the cointegration theory to analyse the causality of the prices between imported fisheries and domestic fisheries in distribution channel. We've focused on the prices of import, wholesale and retail about the frozen Alaska pollack, hairtail and croaker which take up high portion and are popular among most of the consumers. In process of analysis, the unit root test was adopted to find the stability of time series data prior to the cointegration test. If the time series data was found as stable one in unit root test, we should analyse the VAR model. If unstable, the cointegratioin test was adopeted to find the long-run equilibrium relationship between the data. When the long-run equilibrium relationship was found among the price of the import, wholesale and retail price, the VECM model was adoped. If not, the differenced VAR model was adopted. The main findings of this study could be summarized as follows ; First, according to the result of the analysis on VAR model, time series data of frozen Alaska pollack was found as stable and has causality relationship and close effect was existing among the import, wholesale and retail price. Second, the data of frozen hairtail was found as an unstable one in unit root test and the result of cointegration test showed the long-run equilibrium relationship at lag 1. From the results of VECM model, we could find that the coefficient of error correction is effective, and the sign is negative(-). It means that the existence of adjustment tendency to long-run equilibrium after a short-run deviation. But the short-run causality of the prices were not found except the price of wholesale. Third, according to the results of differenced VAR model, data from frozen croaker did not have the stability and long-run equilibrium. Moreover, it was found that the import price has a weak causality on the retail price. Because of having difficulties in collecting data, the result of this paper could not explain the relationship among the prices of import, wholesale and retail perfectly. However, it more or less contributed to a long-lasted debate on the direction of causality of price-setting in academic research and provided a useful guide for the policy makers in charge of the price-setting of fisheries products as well.

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공적분과 인과관계 분석을 통한 국제원유시장의 지역화 연구 (A Study on Regionalization in the World Crude Oil Markets Using Cointegration and Causality Analysis)

  • 김진수;허은녕;김연배
    • 자원ㆍ환경경제연구
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    • 제16권2호
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    • pp.213-237
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    • 2007
  • 국제원유시장의 지역화에 대한 논의는 에너지 정책을 수렵하는데 중요한 자료를 제공한다. 특히 우리나라와 같이 하나의 시장에서 80% 가량의 원유를 수입하고 있는 국가에게는 국제원유시장의 지역화 여부는 중요한 문제이다. 본 연구에서는 이와 같이 중요한 의의를 가지는 국제원유시장의 지역화를 분석하기 위해서 기존 연구의 공적분 분석 방법론과 함께 가격의 선행 관계와 시차를 고려할 수 있는 인과관계 분석 방법론을 사용하였다. 중동시장의 Dubai유, 유럽시장의 Brent유, 미국시장의 WTI유와 동아시아시장의 Tapis유를 대상으로 국제원유시장의 지역화 여부를 분석하였으며, 공적분 관계가 성립하지 않는 가격에 대해서는 시차의 변경을 고려할 수 있는 Hsiao (1981)의 인과관계 분석방법론을 사용하였다. 또한 공적분 관계가 성립하여 장기적인 균형관계에 놓여 있는 가격에 대해서는 벡터오차수정모형을 사용하여 인과관계를 분석하였다. 공적분 분석 결과 Brent, WTI, Tapis 유의 가격은 서로 장기적인 균형관계가 성립하지만 중동시장의 Dubai유와 이들 세 시장의 가격 사이에서는 장기적인 균형관계를 발견할 수 없었다. 그러나 가격의 선행 관계와 시차를 고려할 수 있는 인과관계 분석을 수행한 결과 Dubai 시장을 포함한 국제원유시장은 1주에서 5주의 시차를 가지고 서로의 가격 변화에 영향을 주는 단일화된 시장이라는 결론을 도출할 수 있었다. 따라서 국제원유시장은 하나의 커다란 단일화된 시장이라는 Adelman (1984)의 가설은 타당하다고 할 수 있다.

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