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The impact of macroeconomic and oil shocks on India’s non-ferrous metal prices: A structural-VAR approach

Author

Listed:
  • Kakade, Kshitij Abhay

    (Birla Institute of Technology and Science (BITS), Goa, India;)

  • Mishra, Aswini Kumar

    (Birla Institute of Technology and Science (BITS), Goa, India)

Abstract

This paper compares the value shocks from the real interest rates, real exchange rates, real crude prices, and other key macroeconomic variables on the metal prices. The structural VAR models are estimated on monthly data over the period 2005m12–2019m12 to determine the asymmetric effect of the macroeconomic shocks and determine whether commodity prices display overshooting behavior in response to these shocks. The impulse response and the forecast error variance decomposition function analyze the short-term impacts on the Indian non-ferrous metal prices. The results indicate that the metals index, and crude oil have a significant positive impact on the prices of metals, while the real interest rate negatively affects India’s metal prices. The impact of the real exchange rate and own shocks on real metal prices is found to be insignificant. Metal prices tend to display an overshooting behavior in response to changes in the real interest rate. Besides, the forecast error variance decomposition reveals the incremental contribution of crude oil prices in explaining the behaviour of metal prices.

Suggested Citation

  • Kakade, Kshitij Abhay & Mishra, Aswini Kumar, 2021. "The impact of macroeconomic and oil shocks on India’s non-ferrous metal prices: A structural-VAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 30-50.
  • Handle: RePEc:ris:apltrx:0425
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    as
    1. Fatma Pinar Erdem & Ibrahim Unalmis, 2016. "Revisiting super-cycles in commodity prices," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 16(4), pages 137-142.
    2. Browne, Frank & Cronin, David, 2010. "Commodity prices, money and inflation," Journal of Economics and Business, Elsevier, vol. 62(4), pages 331-345, July.
    3. A. Anzuini & M. J. Lombardi & P. Pagano, 2013. "The Impact of Monetary Policy Shocks on Commodity Prices," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 125-150, September.
    4. Jain, Anshul & Ghosh, Sajal, 2013. "Dynamics of global oil prices, exchange rate and precious metal prices in India," Resources Policy, Elsevier, vol. 38(1), pages 88-93.
    5. John Baffes & Cristina Savescu, 2014. "Monetary conditions and metal prices," Applied Economics Letters, Taylor & Francis Journals, vol. 21(7), pages 447-452, May.
    6. Chen, Jinyu & Zhu, Xuehong & Zhong, Meirui, 2019. "Nonlinear effects of financial factors on fluctuations in nonferrous metals prices: A Markov-switching VAR analysis," Resources Policy, Elsevier, vol. 61(C), pages 489-500.
    7. Pilar Poncela & Eva Senra & Lya Paola Sierra, 2014. "Common dynamics of nonenergy commodity prices and their relation to uncertainty," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3724-3735, October.
    8. Akram, Q. Farooq, 2009. "Commodity prices, interest rates and the dollar," Energy Economics, Elsevier, vol. 31(6), pages 838-851, November.
    9. Cochran, Steven J. & Mansur, Iqbal & Odusami, Babatunde, 2012. "Volatility persistence in metal returns: A FIGARCH approach," Journal of Economics and Business, Elsevier, vol. 64(4), pages 287-305.
    10. Pindyck, Robert S & Rotemberg, Julio J, 1990. "The Excess Co-movement of Commodity Prices," Economic Journal, Royal Economic Society, vol. 100(403), pages 1173-1189, December.
    11. Paul Kim & Tomohiro Ando, 2012. "Oil and metal price movements and BRIC macro-economy: an empirical analysis," International Journal of Business and Globalisation, Inderscience Enterprises Ltd, vol. 8(2), pages 187-206.
    12. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    13. Jeffrey A. Frankel, 2008. "The Effect of Monetary Policy on Real Commodity Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 291-333, National Bureau of Economic Research, Inc.
    14. Plourde, André & Watkins, G. C., 1998. "Crude oil prices between 1985 and 1994: how volatile in relation to other commodities?," Resource and Energy Economics, Elsevier, vol. 20(3), pages 245-262, September.
    15. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    16. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    17. Pfaff, Bernhard, 2008. "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i04).
    18. Md Rafayet Alam & Scott Gilbert, 2017. "Monetary policy shocks and the dynamics of agricultural commodity prices: evidence from structural and factor†augmented VAR analyses," Agricultural Economics, International Association of Agricultural Economists, vol. 48(1), pages 15-27, January.
    19. Sun, Zesheng & Sun, Bianxia & Lin, Sharon X., 2013. "The impact of monetary liquidity on Chinese aluminum prices," Resources Policy, Elsevier, vol. 38(4), pages 512-522.
    20. Hammoudeh, Shawkat & Yuan, Yuan, 2008. "Metal volatility in presence of oil and interest rate shocks," Energy Economics, Elsevier, vol. 30(2), pages 606-620, March.
    21. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    22. Jeffrey A. Frankel, 1986. "Expectations and Commodity Price Dynamics: The Overshooting Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 344-348.
    23. Elif Arbatli & Garima Vasishtha, 2012. "Growth in Emerging Market Economies and the Commodity Boom of 2003–2008: Evidence from Growth Forecast Revisions," Staff Working Papers 12-8, Bank of Canada.
    24. Sari, Ramazan & Hammoudeh, Shawkat & Soytas, Ugur, 2010. "Dynamics of oil price, precious metal prices, and exchange rate," Energy Economics, Elsevier, vol. 32(2), pages 351-362, March.
    25. Bahattin Buyuksahin & Kun Mo & Konrad Zmitrowicz, 2016. "Commodity Price Supercycles: What Are They and What Lies Ahead?," Bank of Canada Review, Bank of Canada, vol. 2016(Autumn), pages 35-46.
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    More about this item

    Keywords

    real interest rates; real effective exchange rates; crude oil; metal production index; impulse responses; non-ferrous metal; SVAR;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices

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