Extraction and Characterization of Price Cycles in the Indian Commodity Market

Authors

  •   Prabhati Kumari Misra Ph.D. Student, Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, Kharagpur - 721302 West Bengal
  •   Kishor Goswami Associate Professor, Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, Kharagpur - 721302 West Bengal

DOI:

https://doi.org/10.17010/aijer/2013/v2i4/36076

Keywords:

Commodity Market

, Classical Cycles, Deviation Cycles, Filtering Techniques, Bry-Boschan Procedure, Duration Dependence

C22

, C41, E32

Abstract

Characterization of classical and deviation cycles in commodity prices is significant for people involved in the commodity market trade. This paper borrows techniques employed in business cycle literature to extract both classical and deviation cycles present in prices of four agricultural (sugar, tea, rubber, and cotton) and five metal commodities (copper, tin, zinc, lead, and aluminium) traded in the Indian commodity market. Bry-Boschan procedure was used to date the classical cycles; whereas three filtering techniques were used to extract the deviation cycles. Parameters such as the number of cycles as well as the average duration of booms and slumps in classical cycles and deviation cycles were determined and reported. Parameters of the classical cycles were compared with corresponding parameters of cycles in prices of the respective commodities traded in the international market.

Downloads

Download data is not yet available.

Downloads

Published

2013-08-20

How to Cite

Misra, P. K., & Goswami, K. (2013). Extraction and Characterization of Price Cycles in the Indian Commodity Market. Arthshastra Indian Journal of Economics & Research, 2(4), 21–32. https://doi.org/10.17010/aijer/2013/v2i4/36076

Issue

Section

Business Economics

References

Bonenkamp J., Jacobs, J., & Kuper, G. H. (1999). "Measuring Business Cycles in the Netherlands, 1815-1913: A Comparison of Business Cycle Dating Methods." Research Report No 01C25, University of Groningen, Research Institute SOM.

Brain, C.W., & Shapiro, S.S. (1983). "A Regression Test for Exponentiality: Censored and Complete Samples." Technometrics, 25 (1), 69-76.

Bry, G., & Boschan, C., (1971). "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs." Technical Paper 20, National Bureau of Economic Research, New York.

Cashin, P. C., McDermott, C. J., & Scott, A. (1999). "Booms and Slumps in World Commodity Prices." IMF Working Paper, WP/99/155. Washington, DC: IMF, pp. 1-24.

Christiano, L. J., & Fitzgerald T. J., (2003). "The Band Pass Filter". International Economic Review, 44(2), 435-465, DOI: 10.1111/1468-2354.t01-1-00076.

Davidson, R., & MacKinnon, J.G. (1983). "Estimation and Inference in Econometrics." New York: Oxford University Press.

Diebold, F. X., & Rudebusch, G. D. (1990). "A Nonparametric Investigation of Duration Dependence in the American Business Cycle". The Journal of Political Economy, 98 (3), 596-616.

Estrella, A., (2007). "Extracting Business Cycle Fluctuations: What Do Time Series Filters Really Do?" No. 289, Staff Reports, Federal Reserve Bank of New York, 1-34.

IMF (2010, August 8). "Primary Commodity Prices." Retrieved from http://www.imf.org/ external/np/res/commod/index.aspx

India Infoline (2009, November 28). "Spot Prices in Commodity." Retrieved from http://www.indiainfoline.com/Markets/Commodity/

Ravn, M. O., & Uhlig, H. (2002). "On Adjusting the Hodrick-Prescott Filter for the Frequency of Observations". The Review of Economics and Statistics, 84 (2), 371-380.

Stock, J. H. & Watson, M. W. (1999). "Business Cycle Fluctuations in U.S. Macroeconomic Time Series." Handbook of Macroeconomics, In: J. B. Taylor & M. Woodford (Eds.), "Handbook of Macroeconomics." Edition 1, Volume 1, Chapter 1, 3-64, Elsevier.

Wikipedia (2010, April 4). "Hodrick-Prescott Filter." Retrieved from http:// en.wikipedia.org/wiki/ Hodrick-Prescott_filter