• Title/Summary/Keyword: 오차수정모형

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A Study on the Price Discovery of Lean Hog Futures (돈육선물의 가격발견에 관한 연구)

  • Byun, Youngtae
    • Culinary science and hospitality research
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    • v.23 no.2
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    • pp.126-134
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    • 2017
  • The purpose of this paper was to examine the dynamics of the price discovery function between lean hog futures and spot markets using the vector error correction model (VECM). The researcher also investigated the existence of the long-run equilibrium relationship between the lean hog futures and spot markets. Daily time series data of lean hog futures and spot observed in the Korean market during the period from 5 Jan. 2011 to 28 Dec. 2012 were analyzed. To examine the price discovery, this study employed the Gonzalo and Granger's (1995) information ratio and Hasbrock's (1995) information ratio measurement method. The significant findings of the study are summarized as follows. First, lean hog futures and spot market are significantly correlated. Secondly, the lean hog future market plays a more dominant role in price discovery than the spot market. Finally, price discovery measures based on the VECM suggested that the lean hog future market plays a more dominant role in price discovery than the lean hog spot market. This is the important systematic empirical work to find the relationship between the lean hog future and spot market.

The Long-Run Elasticity of Electricity Demand Using Dynamic OLS (동태적 OLS를 이용한 전력수요의 장기 탄력성 연구)

  • Na, In-Gang
    • Environmental and Resource Economics Review
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    • v.9 no.1
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    • pp.49-69
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    • 1999
  • 본 연구는 1983년부터 1996년까지의 월별 자료를 이용하여, 전력 수요의 장기 탄력성을 추정하였다. 공적분모형인 Stock-Watson(1993)의 동태적 OLS(Dynamic OLS) 모형을 이용하여, 전력수요의 장기가격탄력성과 소득탄력성을 추정하였다. 장기균형식을 이용한 결과를 살펴보면, 실질국내총생산의 장기탄력성은 0.23으로 나타났으며, 실질전력요금의 장기탄력성은 -0.12로 추정되었다. 이와 같은 결과는 가격과 소득이 전력수요에 직접적 영향을 미치는 것을 의미한다. 단기오차수정모형에서 오차수정항의 계수는 -0.23으로 추정되었으며, 이는 단기적으로 장기수요곡선을 이탈하였을 경우 단기적 불안정이 새로운 균형을 찾아가는 기간이 약 4.4 개월 걸리는 것을 의미한다.

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법정근로시간 단축이 실근로시간, 고용, 실질임금에 미친 영향

  • Kim, Yu-Seon
    • Korean Journal of Labor Studies
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    • v.14 no.2
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    • pp.1-21
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    • 2008
  • 1989~91년과 2004~7년에 이루어진 법정근로시간 단축이 실근로시간과 고용, 실질임금에 미친 영향을 분석했다. 통상적인 회귀분석과 벡터오차수정 모형을 병행해서 추정한 결과 확인된 사실은 다음과 같다. 첫째, 법정근로시간 단축으로 실근로시간과 월근로일수가 감소했다. 법정근로시간을 10% 단축할 때 실근로시간은 8.0% 감소하고 월근로일수는 3.0% 감소했다. 둘째, 법정근로시간 단축에 따른 실근로시간 단축은 고용증가로 이어졌다. 근로시간을 10% 단축할 때 단기적으로는 고용증가 폭이 미미하지만, 장기적으로 취업자는 8.5%, 노동자는 13.1% 증가했다. 셋째, 실근로시간 단축으로 시간당임금은 증가했다. 즉 실근로시간이 10% 단축될 때 시간당임금은 장기적으로 13.3% 증가했다. 그러나 월임금총액은 유의미한 영향을 받지 않았다.

A Study of New Modified Neyman-Scott Rectangular Pulse Model Development Using Direct Parameter Estimation (직접적인 매개변수 추정방법을 이용한 새로운 수정된 Neyman-Scott 구형펄스모형 개발 연구)

  • Shin, Ju-Young;Joo, Kyoung-Won;Heo, Jun-Haeng
    • Journal of Korea Water Resources Association
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    • v.44 no.2
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    • pp.135-144
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    • 2011
  • Direct parameter estimation method is verified with various models based on Neyman-Scott rectangular pulse model (NSRPM). Also, newly modified NSRPM (NMSRPM) that uses normal distribution is developed. Precipitation data observed by Korea Meteorological Administration (KMA) for 47 years is applied for parameter estimation. For model performance verification, we used statistics, wet ratio and precipitation accumulate distribution of precipitation generated. The comparison of statistics indicates that absolute relative error (ARE)s of the results from NSRPM and modified NSRPM (MNSRPM) are increasing on July, August, and September and ARE of NMNSRPM shows 10.11% that is the smallest ARE among the three models. NMNSRPM simulates the characteristics of precipitation statistics well. By comparing the wet ratio, MNSRPM shows the smallest ARE that is 16.35% and by using the graphical analysis, we found that these three models underestimate the wet ratio. The three models show about 2% of ARE of precipitation accumulate probability. Those results show that the three models simulate precipitation accumulate probability well. As the results, it is found that the parameters of NSRPM, MNSRPM and NMNSRPM are able to be estimated by the direct parameter estimation method. From the results listed above, we concluded that the direct parameter estimation is able to be applied to various models based on NSRPM. NMNSRPM shows good performance compared with developed model-NSRPM and MNSRPM and the models based on NSRPM can be developed by the direct parameter estimation method.

Is There a Stochastic Non-fundamental Trend in Korean Stock Price?: Inference under Transformed Error Correction Model (우리나라 주가에는 펀더멘털과 무관한 비정상 추세가 존재하는가?: 공적분 및 베버리지-넬슨 분해 접근)

  • Kim, Yun-Yeong
    • KDI Journal of Economic Policy
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    • v.35 no.2
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    • pp.107-131
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    • 2013
  • In this paper, we test and estimate the stochastic non-fundamental trend in Korean stock market. For this, following Kim (2011), we exploit that the long-run equilibrium stock price may be decomposed into fundamental and stochastic non-fundamental trends (i.e., the sum of dividend innovations and a part that are orthogonal with the dividend innovations) by using the Beveridge-Nelson decomposition and projections. In this VAR construction, there is an error correction mechanism through which stock prices converge to their long-run equilibrium, which also contain the stated stochastic non-fundamental trend as well as fundamental trend. The estimation and test results using yearly data from the Korea (1976-2012) indicated that fluctuations in stock prices during that period can be explained mainly not by the stochastic non-fundamental trend but by the dividend trend. However, during some periods like after Seoul Olympic Games, we may observe the non-fundamental trend affected to the stock price variation.

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VECM모형을 이용한 거시경제변수와 주가간의 관계에 대한 실증분석

  • Hwang, Seon-Ung;Choe, Jae-Hyeok
    • The Korean Journal of Financial Studies
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    • v.12 no.1
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    • pp.183-213
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    • 2006
  • 본 연구의 목적은 공적분 검정과 예측오차 분산분해 방법을 이용하여 우리나라 주식시장에서 주가지수와 거시경제 변수들과의 계량적 관계를 파악하고 종합주가지수와 밀접한 관련성이 있는 변수를 사용하여 종합주가지수와 거시경제변수들 사이의 모형을 추정하는 것이다. Johansen 공적분 검증을 이용한 결과를 보면 종합주가지수와 7개의 거시경제변수들(총통화, 소비자물가지수, 금리, 산업생산지수, 원 달러 환율, 국제원유가격, 경상수지) 사이에 상당히 밀접한 연관성이 있으며, 이들 변수들 사이에 장기적 균형 관계가 존재하였다. 예측오차 분산분해 방법을 사용한 분석결과에서는 종합주가지수의 분산을 예측하는데 있어서 이들 거시경제변수들의 설명력이 매우 높게 나타났다. 또한 우리나라의 주식시장에서는 금리, 국제원유가격, 경상수지 등의 요인보다는 원 달러 환율, 소비자물가지수, 산업생산의 비중이 더 크다는 사실을 알 수 있었다. 우리나라의 자본시장에서는 1997년 말 외환위기를 전후로 하여 현저한 구조적 변화가 존재하였기 때문에 백터오차수정모형을 설정할 때에는 외환위기 이전기간과 이후기간으로 나누어서 분석하는 것이 더욱 타당함을 확인할 수 있었다.

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Causal Relationships between Vessel Export and Economic Growth in Korean Shipbuilding Industry (우리나라 조선산업에서 선박수출과 경제성장의 인과성)

  • Kim, Chang-Beom
    • Journal of Korea Port Economic Association
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    • v.24 no.1
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    • pp.1-10
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    • 2008
  • This paper analyses the dynamic causal relationship between vessel export and economic growth using annual data over the period from 1977 to 2006. Tests for ADF unit-roots, the dynamic vector using Johansen's multiple cointegration procedure, dynamic vector error correction model and impulse response function are presented. The findings of the Granger test suggest that vessel export Granger-causes economic growth in the short-run and economic growth Granger-causes exports in the short and long-run. The empirical results of impulse-response analysis show that the vessel export to a shock in real GDP responds positively and the real GDP responds positively to the shocks in vessel export. Also, the results indicate that the impact of vessel export shock on the real GDP is short-lived.

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The Impact of the Supply Regulation on the Price in Farming Olive Flounder (출하량 조절이 양식 넙치가격에 미치는 영향)

  • Kang, Seokkyu
    • Environmental and Resource Economics Review
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    • v.24 no.4
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    • pp.709-725
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    • 2015
  • This study is to analyse the relationship between the price and the supply in the farming Olive Flounder's production area market. The data used in this study correspond to daily price and supply quantity covering time period from January 1, 2007 to June 30. 2013. The analysis methods of cointegration and vector error correction model are employed. The empirical results of this study are summarized as follows: First, the price and the supply follow random walks and they are integrated of order 1. Second, the price and the supply are cointegrated. Third, vector error correction model suggests that the relationship between the price change ration and the supply quantity change ratio has negative and feedback effect exists in the long-run, but the disequilibrium between the price and the supply is corrected by the supply quantity. Finally, vector error correction model suggests that the supply quantity leads the price in the short-run. This indicates that the decrease(increase) of the supply quantity results in the increase(decrease) of the price.

A Study on Price Discovery and Interactions Among Natural Gas Spot Markets in North America (북미 천연가스 현물시장간의 가격발견과 동태적 상호의존성에 대한 연구)

  • Park, Haesun
    • Environmental and Resource Economics Review
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    • v.15 no.5
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    • pp.799-826
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    • 2006
  • Combining recent advances in causal flows with time series analysis, relationships among eight North American natural gas spot market prices are examined. Results indicate that price discovery tends to occur in excess demand regions and move to excess supply regions. Across North America, the U.S. Midwest region represented by Chicago spot market is the most important market for price discovery. The Ellisburg-Leidy Hub in Pennsylvania is important in price discovery, especially for markets in the eastern two-thirds of the U.S. Malin Hub in Oregon is important for the western markets including the AECO Hub in Alberta, Canada.

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Effects of Exchange Rate Risk and Industrial Activity Uncertainty on Import Container Volume in Korea (환위험과 경기 불확실성이 우리나라의 수입물동량에 미치는 영향)

  • Kim, Chang-Beom
    • Journal of Korea Port Economic Association
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    • v.26 no.4
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    • pp.88-100
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    • 2010
  • This paper investigates the influence of industrial activity volatility and exchange rate volatility on import container volume of the Korea during the 1999:1- 2010:9. Conditional variance from the GARCH(1, 1) model is applied as the volatility. The Johansen multivariate cointegration method and the error correction (general-to-specific) method are applied to study the relationship between import volume and its determinants. The empirical results show that volatility has statistically significant negative effect on import volume.