• 제목/요약/키워드: VAR모형

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Changes in Real Exchange Rate and Business Fluctuations: A Comparative Study of Korea and Japan (실질환율변동의 경기변동효과: 한국과 일본의 비교연구)

  • Kwak, Tae Woon
    • International Area Studies Review
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    • v.13 no.3
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    • pp.309-330
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    • 2009
  • This paper analyzes comparatively the effects of changes in real effective exchange rates on the business fluctuations of the cases of Korea and Japan employing structural vector auto-regression(S-VAR) model which uses quarterly data for the five variables of real effective exchange rates, GDP gap, real interest rates, oil prices, inflation rates for the period of 1980-2006. The paper employes impulse-response analysis and variance decompositions. The paper finds that real exchange rate depreciations are contractionay for the case of Korea while they are expansionary for the case of Japan. These results are consistent with the prevailing empirical results that real exchange rate depreciations are contractionary for developing countries while expansionary for advanced countries.

우리나라 항만에서의 액체화물 관계 분석

  • Lee, Gwang-Un;Shin, Chang-Hoon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.201-202
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    • 2019
  • 세계의 주요 자원중 하나인 원유는 산업의 가장 기초적인 부분을 담당하고 있다. 대한민국은 대표적인 원유수입국이며 원유 자원 등을 수입을 하지 못한다면 내수 및 가공후 수출에 큰 위험으로 다가온다. 그렇기에 원유 수입 등의 액체화물 수입이 필수적이다. 차별성을 두기위해 액체화물 항만간의 경쟁을 확인하고자 울산, 대산, 여수광양항을 선정하였다. 항만들은 석유화학단지를 보유하고 있는 항만이며 원유는 수입후 정제를 통해 석유정제품, 화학생산공업품의 물품을 생산한다. 시계열 데이터를 이용한 VAR 모형을 이용하였다. 이를 수행하기 위해 단위근 검정을 실시하였으며 토다 야마모토 인과 검정을 통한 항만간의 관계를 확인하였다.

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Forecasting Total Marine Production through Multiple Time Series Model

  • Cho, Yong-Jun
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.1
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    • pp.63-76
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    • 2006
  • Marine production forecasting in fisheries is a crucial factor for managing and maintaining fishery resources. Thus this paper aims to generate a forecasting model of total marine production. The most generally method of time series model is to generate the most optimal single forecasting model. But the method could induce a different forecasting results when it does not properly infer a model To overcome the defect, I am trying to propose a single forecasting through multiple time series model. In other word, by comparing and integrating the output resulted from ARIMA and VAR model (which are typical method in a forecasting methodology), I tried to draw a forecasting. It is expected to produce more stable and delicate forecasting prospect than a single model. Through this, I generated 3 models on a yearly and monthly data basis and then here I present a forecasting from 2006 to 2010 through comparing and integrating 3 models. In conclusion, marine production is expected to show a decreasing tendency for the coming years.

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Evidence of Difference on the Results of VAR Analysis Impacted the Time Frequency and Time Span of Time Series Data (시계열 자료의 관찰빈도 및 기간이 VAR 분석결과에 미치는 영향 차이 검증 - 한국 환율과 주가를 중심으로 -)

  • Hwang, Yun Seop;Yoo, Seung Jick;Kim, Soo Eun
    • International Area Studies Review
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    • v.13 no.1
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    • pp.81-102
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    • 2009
  • The discussion of the relationship between macro-economic variables is very important research topic. the most economic variables discussed in connection with the liberalization of capital is the exchange rate and stock prices and these two variables have a relationship of mutual influence are identified. However, the results on the time frequency and the time span of a variable appear differently. Therefore, the purpose of this research describes a cause that the result of prior research varied and presents more reliable research methodology. In this research, when the time frequency and span varied, the VAR analysis of the exchange rate and stock prices appeared differently. So, we use the Monte Carlo simulation method in order to performing our purpose. Our research supports the existing research said the ratio that each coefficient VAR model contained 95% confidence interval of estimated coefficient in Monte Carlo simulation is higher when it is applied more the long term and frequent observation.

The Impact of Self-Employment on the National Economy (자영업이 국가경제에 미치는 영향)

  • Kim, Woohyoung
    • The Journal of Small Business Innovation
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    • v.20 no.1
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    • pp.19-33
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    • 2017
  • In this paper, we suggest proper policy directions through an analysis onthe impact of changes in self-employment on the national economy. In other words, we intend to identify the current status of self-employment jobs and present policy directions for supporting self-employed workers. In order to grasp the dynamic relationship of variables, we used a VAR model to measure the impact of self-employment job fluctuations and macroeconomic variables on each other. The analysis results demonstrate that an exogenous shock to the ratio of self-employed workers does not show a significant impact on the nominal growth ratio. However, when the analysis was done separately on an exogenous shock to the ratio of self-employed workers with employees and without employees, an increase in the ratio of self-employed workers with employees showed a positive impact on nominal growth. On the other hand, an increase in the ratio of self-employed workers without employees showeda negative impact on nominal growth. In future studies, it will be necessary to do additional analysis on quarterly data to estimate the short-term impact of macroeconomic variables on changes in the ratio of self-employed workers.

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An Analysis of the Co-Movement Effect of Korean, Chinese, Japanese and US Stock Markets: Focus on Global Financial Crisis (한국·중국·일본·미국 주식시장 간 동조화 현상: 글로벌 금융위기 전·후를 중심)

  • Choi, Sung-Uk;Kang, Sang Hoon
    • International Area Studies Review
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    • v.18 no.3
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    • pp.67-88
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    • 2014
  • The Chinese stock market has increasingly strengthened its market power on other stock markets due to rapid growth of its economy. In this context, this study investigated return spillover effect as well as asymmetric volatility spillover effect using a VAR-Bivariate EGARCH model among stock markets(China, US, Japan, Korea). Furthermore, we conjectured the impact of 2008 global financial crisis on the spillover effect of the Chinese stock market. In our empirical results, the Chinese stock market has a weak return spillover effect to other markets(US, Japan, Korea), but after the global financial crisis, its return spillover effect becomes stronger among other stock markets. In addition, the Chinese stock market have strengthened its asymmetric volatility spillover effect on other stock markets after the Global financial crisis. As a result, the Chinese stock market has an strong influence on other stock markets.

금융자산(金融資産) 수익률(收益率)과 기대(期待)인플레이션 - 한국금융시장(韓國金融市場)의 실증연구(實證硏究) -

  • Yu, Il-Seong
    • The Korean Journal of Financial Management
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    • v.10 no.2
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    • pp.137-159
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    • 1993
  • 본 연구에서는 우리나라의 금융자산, 특히 회사채와 주식이 인플레이션과 관련하여 어떠한 행태를 보이는가를 실증적으로 살펴본다. 1976년부터 1992년까지의 기간중 채권 및 주식수익률에 피서가설이 성립하는가의 여부, 주식수익률과 기대인플레이션과 관련된 Fama의 허구성가설 및 Geske & Roll의 역인과성가설 등을 공적분관계검정 및 VAR모형의 예측오차 분산분해등을 통하여 포괄적으로 결정한다. 이를 위하여 본 연구는 다음과 같은 순서로 진행하였다. 첫째, 단순정태회귀분석을 통하여 우리나라 금융시장에서 주식이나 채권이 기대된 인플레이션이나 예상치 못했던 인플레이션에 대해 얼마나 인플레이션방어수단으로 유효한지를 살펴보았다. 우선, 회사채수익률의 경우 피서가설의 성립을 기각하기 어려웠다. 반면, 주식의 경우에는 피서가설이 성립될 수 없음은 물론이고, 대부분의 선진국가들처럼 기대인플레이션에 주식수익률이 만대방향으로 반응하는 것으로 나타났다. 주식수익률을 설명하는 변수에 예상되는 산업생산증가나 통화량증가를 나타내는 변수들을 추가하여도 주식수익률과 기대인플레이션간의 부의 관계는 여전히 유의적인 것으로 남아있었다. 따라서 파마의 주식수익률과 기대인플레이션간의 허위관계가설은 우리나라 주식시장에서는 적용되지 않는 것으로 나타났다. 둘째, 단순정태분석에서 활용된 여러 회귀식들이 가성적회귀관계(假性的回歸關係)를 나타내는 경우를 확인하기 위하여 공적분관계가 형성되는지를 검정하였다. 그 결과, 회사채수익률과 인플레이션은 공적분관계가설이 기각되지 않았으나, 주식수익률과 기대인플레이션간에는 공적분관계가 나타나지 않았다. 공적분관계에 입각하여 오차수정모형을 추정한 결과, 회사채수익률의 변화는 단기적인 인플레이션의 동태를 예측하는데 있어서 도움을 주지만, 기대인플레이션 및 예상산업생산증가률의 변화는 주식실질수익률의 단기적 동해예측에 개별적으로는 도움이 되지 못하였다. 마지막으로 여러 변수들의 관계를 사전적으로 설정하지 않고 VAR 모형의 오차분해를 통하여 인과관제를 분석한 결과, 주식수익률과 기대인플레이션이 허구적(虛構的)인 관계가 아님을 시사하고 있다. 그러나, 주식수익률변동은 예상산업생산증가에 의하여 어느정도 설명이 가능하고 대부분의 경제변수에 대하여는 외생적인 성격을 강하게 보여주고 있어서, 기대인플레이션과의 인과관계에 있어서도 선행적인 위치를 지지하고 있다.

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Growth Characteristic Models of Collected Artemisia Resources (수집 쑥속 자원의 생육특성 모형)

  • You Ju-Han;Cho Heung-Won;Lee Cheol-Hee
    • Korean Journal of Plant Resources
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    • v.18 no.3
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    • pp.367-373
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    • 2005
  • The purposes of this dissertation were to examine relativity between growth characteristics factors and develop the model of growth characteristics. In the result of statistical summaries of the factors in growth characteristic, the highest level of correlation was in plant height, plant width, petiole and chlorophyll in the case of Artemisia iwayomogi; leaf length, in the case of A. stolonifera;, leaf width, of A. princeps var. orientalis;, diameter, of A. feddei;, leaf thickness, of A. iwayomogi, A. princeps var. orientalis, A. montana, A. stolonifera, A. sylnatica; leaf length and leaf width of the other species. In the case of correlation analysis, leaf width and diameter were most correlative in A. capillaris;, plant height and plant width, in A. montana; plant height and leaf width, in A. stolonifera; leaf length and leaf width, in other species. The results of model analysis of growth characteristics were as follows. A. capillaris proved to be about $79.4\%$ effective ; A. princeps var. orientalis, about $91.7\%$ ; A. montana, about $70.3\%$ ; A. iwayomogi, about $49.0\%$ ; A. stolonifera, about $72.5\%$; A. sylnatica, about $75.0\%$;, A. feddei about $60.4\%$ ; A. rubripes about $54.0\%$.

R&D and Environmental Kuznets Curve Hypothesis: CO2 Case (R&D 투자와 환경쿠즈네츠 곡선 가설: CO2 사례 분석)

  • Kang, Heechan;Hwang, Sangyeon
    • Environmental and Resource Economics Review
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    • v.25 no.1
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    • pp.89-112
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    • 2016
  • In this paper, as a determining factor of the Environment Kuznets Curve hypothesis, we analyzed the impact of technological innovation. In this paper, in order to empirically validate the role of technological innovation to an inverted U-shaped Environments Kuznets Curve hypothesis, we utilize the 2SLS considering relationship between R&D and the GDP per capita. Also, using the Panel VAR (Panel Vector Auto Regression) model to analyze with what time lag R&D per capita has impact on the emissions of greenhouse gases per capita. Empirical results show that R&D per capita(proxy of innovation) is a important factor to explain Environmental Kuznets Curve hypothesis, and that the external shock such as R&D per capita reduces greenhouse gas emissions per capita with about 3 time lag.

Analysis on the Relationship between the San-Nong Expenditure and 'Quality of Life' of Rural Residents in China (중국의 삼농(三農)지출과 농촌주민 '삶의 질'간 관계 분석)

  • Kim, Jong-Sup
    • International Area Studies Review
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    • v.20 no.1
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    • pp.237-250
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    • 2016
  • This paper is to explore the relationship between the San-Nong expenditure and Quality of life of rural residents in China for the period of 1978-2013, using the unit root test, the Granger causality test, the cointegration test, VAR model, and VECM. The results of a study on the relationship between two variables show that an obvious mutually causal relationship exits between the financial expenditure for San-Nong(san) and gross output value of agriculture, forestry, animal husbandry and fishery(apro) in China. But the case of per capita ploor space of newly built residential buildings in rural area(rho) and per capita consumption expenditure of rural households(rli) show that the financial expenditure for San-Nong(san) press for improvement in the quality of life of rural residence, while rho and rli have not yet apparent effect to san. On the other hand, It showed that the financial expenditure for San-Nong(san) and the number of medical personnel(prdo) do not have a causal relationship with each other. Therefore, the government needs to find ways for a variety of San-Nong expenditure to improve the quality of life of rural residents.