IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2013-03-9.html
   My bibliography  Save this article

Conditional Jump Dynamics in the Stock Prices of Alternative Energy Companies

Author

Listed:
  • Yen-Hsien Lee

    (Department of Finance, Chung Yuan Christian University, Taiwan)

  • Ya-Ling Huang

    (Corresponding author, Golden-Ager Industry Management, Chaoyang University of Technology, Taiwan)

  • Chun-Yu Wu

    (Department of Finance, Chung Yuan Christian University, Taiwan)

Abstract

This paper researches the abnormal information in the WilderHill Clean Energy Index (ECO) and NYSE Arca Technology Index (PSE) by using an autoregressive conditional jump intensity model in Skew Generalized Error Distribution (ARJI-SGED). The research period is from 3 January 2001 to 31 January 2011. We also test the diffusion-jump variance on the PSE and ECO. The empirical result indicates that there are jump phenomena in clean energy and technology companies. The oil price impacts on clean energy and technology companies. Moreover, the PSE has higher levels of volatility clustering than the ECO. These results show that the distributions of PSE return are skewed slightly to the left and fat-tailed. These also mean that jump variance plays a crucial role in market volatility indices.

Suggested Citation

  • Yen-Hsien Lee & Ya-Ling Huang & Chun-Yu Wu, 2013. "Conditional Jump Dynamics in the Stock Prices of Alternative Energy Companies," International Journal of Energy Economics and Policy, Econjournals, vol. 3(3), pages 288-296.
    • Handle: RePEc:eco:journ2:2013-03-9
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijeep/article/download/450/297
    Download Restriction: no
    File URL: http://www.econjournals.com/index.php/ijeep/article/view/450/297
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 1997. "Empirical Performance of Alternative Option Pricing Models," Journal of Finance, American Finance Association, vol. 52(5), pages 2003-2049, December.
    2. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-389, July.
    3. Panayiotis Theodossiou, 2015. "Skewed Generalized Error Distribution of Financial Assets and Option Pricing," Multinational Finance Journal, Multinational Finance Journal, vol. 19(4), pages 223-266, December.
    4. 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.
    5. Sadorsky, Perry, 2010. "The impact of financial development on energy consumption in emerging economies," Energy Policy, Elsevier, vol. 38(5), pages 2528-2535, May.
    6. repec:bla:jfinan:v:59:y:2004:i:2:p:755-793 is not listed on IDEAS
    7. Zhang, Chuanguo & Chen, Xiaoqing, 2011. "The impact of global oil price shocks on China’s stock returns: Evidence from the ARJI(-ht)-EGARCH model," Energy, Elsevier, vol. 36(11), pages 6627-6633.
    8. McDowall, William & Eames, Malcolm, 2006. "Forecasts, scenarios, visions, backcasts and roadmaps to the hydrogen economy: A review of the hydrogen futures literature," Energy Policy, Elsevier, vol. 34(11), pages 1236-1250, July.
    9. 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.
    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. Bates, David S., 1996. "Dollar jump fears, 1984-1992: distributional abnormalities implicit in currency futures options," Journal of International Money and Finance, Elsevier, vol. 15(1), pages 65-93, February.
    12. Bleischwitz, Raimund & Fuhrmann, Katrin, 2006. "Introduction to the special issue on `hydrogen' in `Energy Policy'," Energy Policy, Elsevier, vol. 34(11), pages 1223-1226, July.
    13. Das, Sanjiv Ranjan & Sundaram, Rangarajan K., 1999. "Of Smiles and Smirks: A Term Structure Perspective," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(2), pages 211-239, June.
    14. Sadorsky, Perry, 2003. "The macroeconomic determinants of technology stock price volatility," Review of Financial Economics, Elsevier, vol. 12(2), pages 191-205.
    15. Hansen, Bruce E, 1994. "Autoregressive Conditional Density Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(3), pages 705-730, August.
    16. Sadorsky, Perry, 2001. "Risk factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 23(1), pages 17-28, January.
    17. Chang, Ting-Huan & Su, Hsin-Mei & Chiu, Chien-Liang, 2011. "Value-at-risk estimation with the optimal dynamic biofuel portfolio," Energy Economics, Elsevier, vol. 33(2), pages 264-272, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Inchauspe, Julian & Ripple, Ronald D. & Trück, Stefan, 2015. "The dynamics of returns on renewable energy companies: A state-space approach," Energy Economics, Elsevier, vol. 48(C), pages 325-335.
    2. Shah, Imran Hussain & Hiles, Charlie & Morley, Bruce, 2018. "How do oil prices, macroeconomic factors and policies affect the market for renewable energy?," Applied Energy, Elsevier, vol. 215(C), pages 87-97.
    3. Jurczenko, Emmanuel & Maillet, Bertrand & Negrea, Bogdan, 2002. "Revisited multi-moment approximate option pricing models: a general comparison (Part 1)," LSE Research Online Documents on Economics 24950, London School of Economics and Political Science, LSE Library.
    4. Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019. "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, vol. 80(C), pages 743-759.
    5. Wen, Xiaoqian & Guo, Yanfeng & Wei, Yu & Huang, Dengshi, 2014. "How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China," Energy Economics, Elsevier, vol. 41(C), pages 63-75.
    6. 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.
    7. Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of energy prices on clean energy stock prices. A multivariate quantile dependence approach," Energy Economics, Elsevier, vol. 76(C), pages 136-152.
    8. Zhang, Guofu & Du, Ziping, 2017. "Co-movements among the stock prices of new energy, high-technology and fossil fuel companies in China," Energy, Elsevier, vol. 135(C), pages 249-256.
    9. Broadstock, David C. & Cao, Hong & Zhang, Dayong, 2012. "Oil shocks and their impact on energy related stocks in China," Energy Economics, Elsevier, vol. 34(6), pages 1888-1895.
    10. Alex YiHou Huang & Chiao-Ming Cheng & Wen-Cheng Hu & Chih-Chun Chen, 2011. "Relationship between Crude Oil Prices and Stock Prices of Alternative Energy Companies with Recent Evidence," Economics Bulletin, AccessEcon, vol. 31(3), pages 2434-2443.
    11. Zhang, Lei & Chen, Yan & Bouri, Elie, 2024. "Time-varying jump intensity and volatility forecasting of crude oil returns," Energy Economics, Elsevier, vol. 129(C).
    12. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2014. "Clean energy industries and rare earth materials: Economic and financial issues," Energy Policy, Elsevier, vol. 66(C), pages 53-61.
    13. Tiwari, Aviral Kumar & Nasreen, Samia & Hammoudeh, Shawkat & Selmi, Refk, 2021. "Dynamic dependence of oil, clean energy and the role of technology companies: New evidence from copulas with regime switching," Energy, Elsevier, vol. 220(C).
    14. Amirreza Attarzadeh & Mehmet Balcilar, 2022. "On the Dynamic Connectedness of the Stock, Oil, Clean Energy, and Technology Markets," Energies, MDPI, vol. 15(5), pages 1-18, March.
    15. Managi, Shunsuke & Okimoto, Tatsuyoshi, 2013. "Does the price of oil interact with clean energy prices in the stock market?," Japan and the World Economy, Elsevier, vol. 27(C), pages 1-9.
    16. 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.
    17. Kazemilari, Mansooreh & Mardani, Abbas & Streimikiene, Dalia & Zavadskas, Edmundas Kazimieras, 2017. "An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach," Renewable Energy, Elsevier, vol. 102(PA), pages 107-117.
    18. Shahbaz, Muhammad & Trabelsi, Nader & Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Jiao, Zhilun, 2021. "Relationship between green investments, energy markets, and stock markets in the aftermath of the global financial crisis," Energy Economics, Elsevier, vol. 104(C).
    19. Gupta, Kartick, 2017. "Do economic and societal factors influence the financial performance of alternative energy firms?," Energy Economics, Elsevier, vol. 65(C), pages 172-182.
    20. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2013. "Clean Energy Industries and rare Earth Materials: Economic and Financial Issues," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164750, International European Forum on System Dynamics and Innovation in Food Networks.

    More about this item

    Keywords

    Clean Energy; Abnormal Information; ARJI-SGED Model;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • G1 - Financial Economics - - General Financial Markets
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ2:2013-03-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.