VECM모형을 이용한 국내 희유금속의 수요예측모형
A Study on Demand Forecasting Model of Domestic Rare Metal Using VECM model
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초록
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.
Abstract
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.
참고문헌 (10)
- 곽승준, "서울시 생활요수 수요 추정 - 오차수정모형을 적용하여 -", 자원환경경제연구, 11(1), pp.81~97 (2002), 한국환경경제학회
- 민철구, "에너지 원별 시장점유율 분석에 의한 민수부문 석탄의 수요분석과 예측", 석사, pp.1981
- 이원우, "국내 철광석의 장기수요예측에 관한 기초연구", 석사, 자원공학과, pp.1980
- 주요자원 수급동향 및 대책연구, "한국동력자원연구소", 한국동력자원연구소, ~ (1985)
- 납석의 유통구조 분석, "한국동력자원연구소", 한국동력자원연구소, ~ (1999)
- Box, G.E.P., "Time Series Analysis, Forecasting and Control" (1970), Holden Day
- Engle, R. F., "Cointegration and Error Correction: Representation, Estimation and Testing", Econometrica, 55, pp.251~276 (1987)
- Johansen, S., "Estimating and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models", Econometrica, 59, pp.1551~1589 (1991)
- Nelson, C.R., "Trends and Random Walks in Macroeconomic Time Series", Journal of Monetary Economics, 10, pp.139~162 (1982)
- Watkins, C., "Pricing of non-ferrous metals futures on the London metal Exchange", Applied Financial Economics, 16, pp.853~880 (2006)