• 제목/요약/키워드: Cointegration vector

검색결과 95건 처리시간 0.019초

Analysis of Multivariate Financial Time Series Using Cointegration : Case Study

  • Choi, M.S.;Park, J.A.;Hwang, S.Y.
    • Journal of the Korean Data and Information Science Society
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    • 제18권1호
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    • pp.73-80
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    • 2007
  • Cointegration(together with VARMA(vector ARMA)) has been proven to be useful for analyzing multivariate non-stationary data in the field of financial time series. It provides a linear combination (which turns out to be stationary series) of non-stationary component series. This linear combination equation is referred to as long term equilibrium between the component series. We consider two sets of Korean bivariate financial time series and then illustrate cointegration analysis. Specifically estimated VAR(vector AR) and VECM(vector error correction model) are obtained and CV(cointegrating vector) is found for each data sets.

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다변량 비정상 계절형 시계열모형의 예측력 비교 (Comparison of Forecasting Performance in Multivariate Nonstationary Seasonal Time Series Models)

  • 성병찬
    • Communications for Statistical Applications and Methods
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    • 제18권1호
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    • pp.13-21
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    • 2011
  • 본 논문에서는 계절성을 가지는 다변량 비정상 시계열자료의 분석 방법을 연구한다. 이를 위하여, 3가지의 다변량 시계열분석 모형(계절형 공적분 모형, 계절형 가변수를 가지는 비계절형 공적분 모형, 차분을 이용한 벡터자기회귀모형)을 고려하고, 한국의 실제 거시경제 자료를 이용하여 3가지 모형의 예측력을 비교한다. 공적분 모형은 단기적 예측에서 우수하였고, 장기적 예측에서는 차분을 이용한 벡터자기회귀모형이 우수하였다.

Analysis of the relationship between garlic and onion acreage response

  • Lee, Eulkyeong;Hong, Seungjee
    • 농업과학연구
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    • 제43권1호
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    • pp.136-143
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    • 2016
  • Garlic and onion are staple agricultural products to Koreans and also are important with regard to agricultural producers' income. These products' acreage responses are highly correlated with each other. Therefore, it is necessary to test whether there is a cointegration relationship between garlic acreage and onion acreage when one tries to estimate the acreage response's function. Based upon the test result of cointegration, it is confirmed that there is no statistically significant cointegration relationship between garlic acreage and onion acreage. In this case, vector autoregressive model is preferred to vector error correction model. This study investigated the dynamic relationship between garlic and onion acreage responses using vector autoregressive (VAR) model. The estimated results of VAR acreage response models show that there is a statistically significant relationship between current and lagged acreage of more than one lag. Therefore, it is recommended that government should consider the long-run period's relationship of each product's acreage when it plans a policy for stabilizing the supply and demand of garlic and onion. For the price variables, garlic price only affects garlic acreage response while onion price affects not only onion acreage response but also garlic acreage response. This implies that the stabilizing policy for onion price could have bigger effects than that for garlic price stabilization.

Tests for Seasonal Cointegrating Vectors

  • Seong, Byeong-C.;Cho, Sin-S.;Ahn, Sung-K.
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2003년도 추계 학술발표회 논문집
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    • pp.275-279
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    • 2003
  • We obtain the asymptotic distributions of tests statistics for various types of seasonal cointegration based on GRR estimators of Ahn and Cho (2003). These tests are useful in testing for restrictions about cointegrating vectors after Chi-square tests for CCI and common PCIV in Ahn and Cho (2003) or tests for the known CCI and the known PCIVs have been performed.

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A Feasible Two-Step Estimator for Seasonal Cointegration

  • Seong, Byeong-Chan
    • Communications for Statistical Applications and Methods
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    • 제15권3호
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    • pp.411-420
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    • 2008
  • This paper considers a feasible two-step estimator for seasonal cointegration as the extension of $Br{\ddot{u}}ggeman$ and $L{\ddot{u}}tkepohl$ (2005). It is shown that the reducedrank maximum likelihood(ML) estimator for seasonal cointegration can still produce occasional outliers as that for non-seasonal cointegration even though the sizes of them are not extreme as those in non-seasonal cointegration. The ML estimator(MLE) is compared with the two-step estimator in a small Monte Carlo simulation study and we find that the two-step estimator can be an attractive alternative to the MLE, especially, in a small sample.

주가지수간의 동태적 통합 및 인과관계 분석 (Dynamic Integration and Causal Relationships between Stock Price Indexes)

  • 김태호;박지원
    • 응용통계연구
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    • 제17권2호
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    • pp.239-252
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    • 2004
  • 국내외 시장간에 정보의 이동이 신속해지고 유사 시장간에 상호 연관성이 심화되면서 한미간 주가동조화현상은 강화된 것으로 알려져 있다. 본 연구에서는 한미 증시간에 어떠한 역학관계가 존재하는가를 총체적으로 결정해 보았다. 분석 결과 주가가 전반적으로 비슷한 동향을 보이는 시기에는 한미 증시간의 인과관계가 상대적으로 복잡한 반면, 한미 간의 주가가 상이 한 동향을 보이는 시기에는 인과관계가 단순한 것으로 나타났다. 특히 나스닥지수로 부터 국내 주가지수로의 인과관계가 뚜렷이 존재하는 것으로 판명되어 IT산업 불황기에 침체에 빠진 국내 증시가 첨단산업이 주축을 이룬 나스닥시장의 동향에 민감한 현실이 그대로 입증되고 있다.

벡터오차수정모형을 이용한 유럽 탄소배출권가격 분석 (The analysis of EU carbon trading and energy prices using vector error correction model)

  • 부기덕;정기호
    • Journal of the Korean Data and Information Science Society
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    • 제22권3호
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    • pp.401-412
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    • 2011
  • 본 연구는 벡터오차수정모형을 이용하여 유럽 탄소배출권 현물가격의 일간 시계열자료를 분석한다. 내생변수로는 탄소배출권가격 이외에 오일가격, 천연가스가격, 전력가격, 석탄가격 등 모두 5개 변수를 고려하며, 분석기간은 유럽 배출권가격의 왜곡이 발생한 제1단계 기간 (2005~2007년)을 피해 제2단계 기간 (2008년 4월 21일~2010년 3월 31일)을 대상으로 하였다. 시계열변수의 안정성 및 공적분 검정 결과, 모든 변수들이 단위근을 갖으며 또한 공적분 벡터가 존재하는 것으로 나타나서 분석모형으로서 벡터자기회귀모형 대신에 벡터오차수정모형을 채택하였다. 분석결과, (1) 오일, 천연가스, 전력 등의 가격이 배출권가격에 대해 원인으로 작용하는 그랜저인과관계가 존재하였다. (2) 충격 반응분석에서 배출권가격은 오일가격의 외생적 충격에 대해 가장 크게 반응하였고, 석탄가격의 충격에 대해서는 초기 상승 후 하락, 전력가격과 천연가스가격의 충격에 대해서는 초기 상승 후 음 (-)으로 감소하는 반응을 보였다. (3) 예측오차 분산분해 분석에서 배출권가격에 대해 가장 큰 영향을 주는 요인은 초기 (3기)에는 오일가격>석탄가격>천연가스가격>전력가격의 순이었으나 이후 (20기)에는 전력가격>오일가격>석탄가격>천연가스가격의 순으로 나타났다.

The Impact of Export Instability on Economic Growth: Evidence from Jordan

  • ABU-LILA, Ziad M.;ALGHAZO, Abdalwahab;GHAZO, Abdallah
    • The Journal of Asian Finance, Economics and Business
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    • 제8권8호
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    • pp.13-19
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    • 2021
  • To provide empirical evidence on the impact of export instability on economic growth in developing countries, this study estimated the neoclassical production function using data of the Jordanian economy for the period 1995-2019. Real exports, real capital, and export instability were the independent variables in the production function. To determine the appropriate methodology for estimating the production function, the study conducted some preliminary tests, including the Augmented-Dickey Fuller (ADF), on the study data. The results of this test indicated that all study variables were stationary at first difference. Therefore, the Johanson cointegration test was applied to determine that there was cointegration between the study variables since the results of the former test indicated that there was one cointegration vector between these variables. The cointegration equation revealed a positive and statistically significant impact of real capital, real exports, and an indicator of export instability on economic growth. The most important policy implications for these results would be reducing the geographical concentration of exports through the expansion of free trade agreements (FTA) to enhance the positive impact of the instability of exports on economic growth. Moreover, the study recommends strengthening export-oriented actions to achieve higher levels of economic growth.

공적분벡터의 안정성에 대한 실증연구 (Statistical Tests and Applications for the Stability of an Estimated Cointegrating Vector)

  • 김태호;황성혜;김미연
    • 응용통계연구
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    • 제18권3호
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    • pp.503-519
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    • 2005
  • 공적분검정은 변수들간의 장기적 균형관계에 따른 공적분벡터가 표본기간 동안 일정하다는 가정하에서 실시된다. 따라서 기존의 연구들은 변수들 사이의 공적분관계를 안정적 장기균형관계로 해석해왔으나 장기균형관계가 존재해도 유일하지 않을 수 있으며, 표본기간 중 중요한 사건이 발생하는 경우 이러한 관계에 영향을 미처 안정성이 반드시 성립될 수 없다는 사실은 간과해왔다. 본 연구에서는 추정된 공적분벡터가 안정성을 유지하는가를 확인하기 위해 추가로 통계적 검정을 실시하였다. 공적분회귀모형 모수의 안정성을 검정하는 방식을 세분${\cdot}$체계화하여 공적분백터의 안정성 및 변동형태를 검색하는 실증분석에 적용시켜 보았다.

The Dynamic Relationship of Domestic Credit and Stock Market Liquidity on the Economic Growth of the Philippines

  • CAMBA, Abraham C. Jr.;CAMBA, Aileen L.
    • The Journal of Asian Finance, Economics and Business
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    • 제7권1호
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    • pp.37-46
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    • 2020
  • The paper examines the dynamic relationship of domestic credit and stock market liquidity on the economic growth of the Philippines from 1995 to 2018 applying the autoregressive distributed lag (ARDL) bounds testing approach to cointegration, together with Granger causality test based on vector error correction model (VECM). The ARDL model indicated a long-run relationship of domestic credit and stock market liquidity on GDP growth. When the GDP per capita is the dependent variable there is weak cointegration. Also, the Johansen cointegration test confirmed the existence of long-run relationship of domestic credit and stock market liquidity both on GDP growth and GDP per capita. The VECM concludes a long-run causality running from domestic credit and stock market liquidity to GDP growth. At levels, domestic credit has significant short-run causal relationship with GDP growth. As for stock market liquidity at first lag, has significant short-run causal relationship with GDP growth. With regards to VECM for GDP per capita, domestic credit and stock market liquidity indicates no significant dynamic adjustment to a new equilibrium if a disturbance occurs in the whole system. At levels, the results indicated the presence of short-run causality from stock market liquidity and GDP per capita. The CUSUMSQ plot complements the findings of the CUSUM plot that the estimated models for GDP growth and GDP per capita were stable.