Predicting Raw Material Price Fluctuation Using Signal Approach: Application to Non-ferrous Metals

신호접근법을 이용한 비철금속 상품가격변동 예측모형 연구

  • Kim, Ji-Whan (Petroleum & Marine Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM)) ;
  • Lee, Sang-Ho (Economic Survey & Forecasting Division, Korea Institute for Industrial Economics & Trade (KIET))
  • 김지환 (한국지질자원연구원 석유해저연구본부) ;
  • 이상호 (산업연구원 동향분석실)
  • Published : 2009.04.28

Abstract

Recent raw material prices fluctuation has been unexpectedly high and that made Korean economic activities to be depressed. Because most raw material supply in Korea depends upon oversea imports, unexpected raw material price fluctuation affects Korean industrial economies through macroeconomic variables. So Korean government enforces some political measures such as demand management and the supply-security assurance as long-range policies, and reservation and general early warning system as short-range policies. In short-range policies, it is necessary to be expected short term fluctuation. Up to recently, there have been many researches and most of those researches use parametric methods or time series analyses. Because those methods and analyses often generate inadequate relations among variables, it is possible that some consistent variables are left out or the results are misunderstood. This study, therefore, is aim to mitigate those methodological problems and find the relatively appropriate model for economic explanation. So that, in this paper, by using non-parametric signal approach method mitigating some shortages of previous researches and forecasting properly short-range prices fluctuation of non-ferrous materials are presented empirically.

최근 몇 년간 발생한 원자재 가격의 급격한 변동은 국내 경제활동에 예상치 못한 부정적 영향을 초래하였다. 우리나라는 대부분 원자재를 수입에 의존하고 있어 예상치 못한 가격변동은 거시경제 변수를 통해 생산활동 전반에 영향을 미친다. 따라서 장기적 관점에서는 원자재 수요관리 혹은 공급안정성 확보 등 대안을 마련하여 정책적으로 지원하고 있으며 단기적 관점에서는 원자재 비축과 일반원자재 조기경보체제의 도입을 추진하고 있다. 단기적 관점의 정책 대안은 가격변동의 단기예측 가능성을 전제로 하고 있으며 최근까지 다양한 연구가 진행되어 왔다. 본 연구는 이와 같은 모수적 접근과 시계열 분석의 문제점을 완화하고 경제적 해석이 상대적으로 용이한 대안을 찾고자 하였다. 알루미늄, 전기동, 니켈을 대상으로 신호접근법을 활용하여 변수간 상관관계의 문제나 유의한 변수의 누락 문제를 완화할 수 있는 비모수적 접근을 시도하였다. 설정한 모형을 통해 실제 비철금속의 가격변동이 심화되었던 2004년 초와 2006년의 기간에 대해 모형이 선제적으로 신호를 발생시키고 있음을 확인하였다. 이는 사후적으로 살펴본 모형의 결과와도 큰 차이가 없는 것으로 나타나 본 연구의 모형이 기존연구의 단점을 완화하고 단기 가격변동을 예측할 수 있다는 실증적 결론을 얻을 수 있었다.

Keywords

References

  1. Bosworth, B. and R. Z. Lawrence. (1982) "Commodity Prices and the New Inflation", Washington D.C: The Brookings Institute
  2. Brier, G. W. (1950) "Verification of forecasts expressed in terms of probability", Monthly Weather Review 78, 1- 3 https://doi.org/10.1175/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2
  3. Carmen M. Reinhart and Eduardo Borenzstein (1994) The Macroeconomic Determinants of Commodity Price. IMF staff papers, vol. 41, no. 2
  4. Cashin, P., Hong, and C.J. McDermott. (2000) "How Persistent are Shocks to World Commodity prices?", IMF Staff Papers 47, 2:177-217
  5. Chowdhuty, A.R. (1991) "Futures market efficiency: evidence from cointergration tests", The Journal of Futures Markets 11:5 pp 577-89 https://doi.org/10.1002/fut.3990110506
  6. Cuddington, J. (1991) "Long-run Trends in 26 Primary Commodity Prices: A Disaggregated Look at the Prebisch- Singer Hypothesis", Journal of Development Economics 39:207-227 https://doi.org/10.1016/0304-3878(92)90037-A
  7. Dick, T.J.O. (1998) Business Cycles since 1820. Cheltenham, UK: Edward Elgar
  8. Eduardo Borensztein & Mohsin S. Khan & Peter Wickham & Carmen Reinhart (1994) "The Behavior of Non-Oil Commodity Prices", IMF Occasional Papers 112, International Monetary Fund
  9. Fama E.F. (1970) "Efficient capital markets: a review of theory and empirical work". Journal of Finance. 25:383-417 https://doi.org/10.2307/2325486
  10. Fischer, D.H. (1996) The Great Wave: Price Revolutions and Rhythm of History. New York: Oxford University Press
  11. Graciela L. Kaminsky (1998) "Currency and banking crises: the early warnings of distress", International Finance Discussion Papers 629, Board of Governors of the Federal Reserve System
  12. Jagtiani, J., Kolari, J., Lemieux, C. and Shin, H. (2003) "Early Warning Models for Bank Supervision: Simpler Could Be Better?", Federal Reserve System
  13. Kaldor, N. (1987) "The Role of Prices in Economic Recovery", World Development, 15: 645-56 https://doi.org/10.1016/0305-750X(87)90008-8
  14. Kaminsky, G., S. Lizondo, and C. Reinhart (1997) "Leading Indicators of Currency Crises", IMF StaPapers 45(1), 1-14
  15. Krehbiel, T. and L.C. Adkins (1993) "Cointegration tests of the unbiased expectations hypothesis in metal markets", Journal of Futures Markets 13, 753-763 https://doi.org/10.1002/fut.3990130704
  16. Labys, W.C. and C.W.J. Granger (1970) "Speculation, Hedging and Commodity Price Forecasts Lexington", MA: Heath Lexington Books
  17. Labys, W.C. (1993) "The Impact of Commodity Price Fluctuations on the Instability of the world Economy", In M. Nissanke and A. Hewitt (des), Economic crisis in Developing Countries, London: Pinter Publishers
  18. Labys, W.C. (2005) Commodity Price Fluctuations: A Century of Analysis. WVU Regional Reserch Institute Paper Series
  19. Labys, W.C. (2005) Commodity Price Fluctuations: A Century of Analysis. WVU Regional Reserch Institute Paper Series
  20. Reinhart, C. and P. Wickham (1994) "Commodity Prices: Cyclical Weakness of Secular Decline?" IMF Staff Paper, 41, 2: 175-213 https://doi.org/10.2307/3867506
  21. Samuelson, P. (1965) "Proof that properly Anticipated Prices Fluctuate Randomly", Industrial Management Review, 6: 41-49