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The importance of principal components in studying mineral prices using vector autoregressive models: Evidence from the Brazilian economy

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  • de Souza Ramser, Claudia Aline
  • Souza, Adriano Mendonça
  • Souza, Francisca Mendonça
  • da Veiga, Claudimar Pereira
  • da Silva, Wesley Vieira

Abstract

This study examines the impact of the main Brazilian mineral commodity prices negotiated in trade balance using vector autoregressive models (VAR) in the Brazilian economy in a short-term period. VAR models were applied to the full original data and then to the data dimensionality reduced by principal components denoted by PC-VAR (principal component - vector autoregressive). In the study cases, Cholesky decomposition impulse response and variance decomposition were performed and compared in terms of short run co-movements to identify the most effective model. The applied PC-VAR methodology led to a significant reduction of variables, and similar co-movements were obtained in the short-term period when an impulse response was applied and compared to an unrestricted vector autoregressive. The proposed method also identified the most important variables that affect the other variables in the Brazilian economy and have the same co-movements.

Suggested Citation

  • de Souza Ramser, Claudia Aline & Souza, Adriano Mendonça & Souza, Francisca Mendonça & da Veiga, Claudimar Pereira & da Silva, Wesley Vieira, 2019. "The importance of principal components in studying mineral prices using vector autoregressive models: Evidence from the Brazilian economy," Resources Policy, Elsevier, vol. 62(C), pages 9-21.
  • Handle: RePEc:eee:jrpoli:v:62:y:2019:i:c:p:9-21
    DOI: 10.1016/j.resourpol.2019.03.001
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    1. Markku Lanne & Helmut Lütkepohl & Pentti Saikkonen, 2003. "Test Procedures for Unit Roots in Time Series with Level Shifts at Unknown Time," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 91-115, February.
    2. Dash, Devi Prasad & Sethi, Narayan & Bal, Debi Prasad, 2018. "Is the demand for crude oil inelastic for India? Evidence from structural VAR analysis," Energy Policy, Elsevier, vol. 118(C), pages 552-558.
    3. World Bank Group, 2016. "Commodity Markets Outlook, January 2016," World Bank Publications, The World Bank, number 23680.
    4. Hegerty, Scott W., 2016. "Commodity-price volatility and macroeconomic spillovers: Evidence from nine emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 23-37.
    5. Xiarchos, Irene M. & Burnett, J. Wesley, 2018. "Dynamic Volatility Spillovers Between Agricultural And Energy Commodities," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 50(3), pages 291-318, August.
    6. Eric R. Sims, 2012. "News, Non-Invertibility, and Structural VARs," Working Papers 013, University of Notre Dame, Department of Economics, revised Jun 2012.
    7. Markku Lanne & Helmut Lütkepohl & Pentti Saikkonen, 2002. "Comparison of unit root tests for time series with level shifts," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(6), pages 667-685, November.
    8. Bahmani-Oskooee, Mohsen & Harvey, Hanafiah & Hegerty, Scott W., 2013. "The effects of exchange-rate volatility on commodity trade between the U.S. and Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 70-93.
    9. Morita, Tamaki & Higashida, Keisaku & Takarada, Yasuhiro & Managi, Shunsuke, 2018. "Does acquisition of mineral resources by firms in resource-importing countries reduce resource prices?," Resources Policy, Elsevier, vol. 58(C), pages 97-110.
    10. Aharon, David Y. & Qadan, Mahmoud, 2018. "What drives the demand for information in the commodity market?," Resources Policy, Elsevier, vol. 59(C), pages 532-543.
    11. Souza, Sergio R.S. & Tabak, Benjamin M. & Cajueiro, Daniel O., 2006. "Investigação da Memória de Longo Prazo na Taxa de Câmbio no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 60(2), November.
    12. de Senna, Viviane & Souza, Adriano Mendonça, 2016. "Assessment of the relationship of government spending on social assistance programs with Brazilian macroeconomic variables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 21-30.
    13. von Arnim, Rudiger & Tröster, Bernhard & Staritz, Cornelia & Raza, Werner, 2018. "Commodity price shocks and the distribution of income in commodity-dependent least-developed countries," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 434-451.
    14. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2016. "Stock markets’ bubbles burst and volatility spillovers in agricultural commodity markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 277-285.
    15. Nader Naifar, 2018. "Exploring the Dynamic Links between GCC Sukuk and Commodity Market Volatility," IJFS, MDPI, vol. 6(3), pages 1-18, August.
    16. Bai, Jushan, 2004. "Estimating cross-section common stochastic trends in nonstationary panel data," Journal of Econometrics, Elsevier, vol. 122(1), pages 137-183, September.
    17. Janaina Gabrielle Moreira Campos da Cunha Amarante & Tatiana Marceda Bach & Wesley Vieira da Silva & Daniela Matiollo & Alceu Souza & Claudimar Pereira da Veiga, 2018. "Econometric analysis of cointegration and causality between markets prices toward futures contracts: Evidence from the live cattle market in Brazil," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1457861-145, January.
    18. Gonçalves, Walter & Eid, William, 2017. "Sophistication and price impact of foreign investors in the Brazilian stock market," Emerging Markets Review, Elsevier, vol. 33(C), pages 102-139.
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    Cited by:

    1. Galán-Gutiérrez, Juan Antonio & Martín-García, Rodrigo, 2021. "Cointegration between the structure of copper futures prices and Brexit," Resources Policy, Elsevier, vol. 71(C).
    2. Ueda, Renan Mitsuo & Souza, Adriano Mendonça & Menezes, Rui Manuel Campilho Pereira, 2020. "How macroeconomic variables affect admission and dismissal in the Brazilian electro-electronic sector: A VAR-based model and cluster analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    3. Yongwei, Cheng & Dong, Mu & Huanyu, Ren & Tijun, Fan & Jianbang, Du, 2020. "Using a temporal input-output approach to analyze the ripple effect of China’s energy consumption," Energy, Elsevier, vol. 211(C).

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