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Clean Energy Industries and Rare Earth Materials: Economic and Financial Issues

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  • Lucia BALDI

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  • Massimo PERI

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  • Daniela VANDONE

    ()

Abstract

In the last few years Rare Earth Materials (REMs) prices have experienced a strong increase, due to geopolitical policies and sustainability issues. Provided that these materials at risk of supply disruptions are largely employed in the development of new technologies - such as clean energy industries - financial markets may already have included these concerns into clean energy companies evaluation. We use a multifactor market model for the period January 2006-September 2012 to analyse the impact of REMs price changes – specifically Dysprosium and Neodymium - to six clean energy indexes (NYSE-BNEF) tracking the world’s most active quoted companies in the clean energy sector. Results show that during period of price increase there is a negative relation between REMs price changes and the stock market performance of clean energy indexes, specifically wind. The European clean energy index is also negatively affected and this may be relevant to policy makers considering that Europe is putting in place some relevant policy actions to support the development of the clean energy industry.

Suggested Citation

  • Lucia BALDI & Massimo PERI & Daniela VANDONE, 2013. "Clean Energy Industries and Rare Earth Materials: Economic and Financial Issues," Departmental Working Papers 2013-07, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  • Handle: RePEc:mil:wpdepa:2013-07
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    File URL: http://wp.demm.unimi.it/files/wp/2013/DEMM-2013_07wp.pdf
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    1. Aloui, Chaker & Nguyen, Duc Khuong & Njeh, Hassen, 2012. "Assessing the impacts of oil price fluctuations on stock returns in emerging markets," Economic Modelling, Elsevier, vol. 29(6), pages 2686-2695.
    2. Chen, Shiu-Sheng, 2009. "Predicting the bear stock market: Macroeconomic variables as leading indicators," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 211-223, February.
    3. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    4. Gulnur Muradog Lu & Kivilcim Metin & Reha Argac, 2001. "Is there a long run relationship between stock returns and monetary variables: evidence from an emerging market," Applied Financial Economics, Taylor & Francis Journals, vol. 11(6), pages 641-649.
    5. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    6. Fisher, Franklin M, 1970. "Tests of Equality Between Sets of Coefficients in Two Linear Regressions: An Expository Note," Econometrica, Econometric Society, vol. 38(2), pages 361-366, March.
    7. Sadorsky, Perry & Henriques, Irene, 2001. "Multifactor risk and the stock returns of Canadian paper and forest products companies," Forest Policy and Economics, Elsevier, vol. 3(3-4), pages 199-208, November.
    8. Mo, Jian-Lei & Zhu, Lei & Fan, Ying, 2012. "The impact of the EU ETS on the corporate value of European electricity corporations," Energy, Elsevier, vol. 45(1), pages 3-11.
    9. Sadorsky, Perry, 2001. "Risk factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 23(1), pages 17-28, January.
    10. Kumar, Surender & Managi, Shunsuke & Matsuda, Akimi, 2012. "Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis," Energy Economics, Elsevier, vol. 34(1), pages 215-226.
    11. Massari, Stefania & Ruberti, Marcello, 2013. "Rare earth elements as critical raw materials: Focus on international markets and future strategies," Resources Policy, Elsevier, vol. 38(1), pages 36-43.
    12. Fama, Eugene F & French, Kenneth R, 1996. " Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    13. Ewing, Bradley T. & Thompson, Mark A., 2007. "Dynamic cyclical comovements of oil prices with industrial production, consumer prices, unemployment, and stock prices," Energy Policy, Elsevier, vol. 35(11), pages 5535-5540, November.
    14. Filis, George, 2010. "Macro economy, stock market and oil prices: Do meaningful relationships exist among their cyclical fluctuations?," Energy Economics, Elsevier, vol. 32(4), pages 877-886, July.
    15. Henriques, Irene & Sadorsky, Perry, 2008. "Oil prices and the stock prices of alternative energy companies," Energy Economics, Elsevier, vol. 30(3), pages 998-1010, May.
    16. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. repec:eee:eneeco:v:72:y:2018:i:c:p:145-153 is not listed on IDEAS
    2. repec:spr:minecn:v:30:y:2017:i:3:d:10.1007_s13563-017-0114-y is not listed on IDEAS

    More about this item

    Keywords

    Clean energy; rare earth materials; stock prices;

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E39 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Other

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