IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v41y2014icp125-136.html
   My bibliography  Save this article

The cross-section of returns, benchmark model parameters, and idiosyncratic volatility of nuclear energy firms after Fukushima Daiichi

Author

Listed:
  • Lopatta, Kerstin
  • Kaspereit, Thomas

Abstract

This study analyzes how the stock market returns, the factor loadings from the Carhart (1997) 4-factor model, and the idiosyncratic volatility of shares in energy firms have been affected by the Fukushima nuclear accident. Unlike existing studies, which provide evidence of a wealth transfer from nuclear to renewable energy firms for specific countries, we use an international sample and investigate whether changes in the regulatory environment and the firm-specific commitment to nuclear and renewable energies correlate with the capital market's reactions to the Fukushima Daiichi accident. Our findings suggest that the more a firm relies on nuclear power, the more its share price declined after the accident. A commitment to renewable energies does not prevent declines in share prices but significantly helps to reduce the increase in market beta that is associated with this event. Nuclear energy firms domiciled in countries with a higher number of regulatory interventions that were triggered by the catastrophe have lower abnormal returns than those that are domiciled elsewhere. However, as a cross-sectional analysis reveals, a stronger commitment to nuclear power is the main driver for negative stock market returns. Furthermore, nuclear energy firms domiciled in countries with stronger regulatory shifts away from nuclear energy experience significant increases in market beta and the book-to-market equity factor loading according to the Carhart (1997) 4-factor model. We conclude that capital market participants are able to differentiate between the affectedness of firms with respect to their product portfolio. Energy firms could prevent increases in market beta due to catastrophes such as the Fukushima Daiichi accident by shifting some of their energy production from nuclear to renewable or other sources.

Suggested Citation

  • Lopatta, Kerstin & Kaspereit, Thomas, 2014. "The cross-section of returns, benchmark model parameters, and idiosyncratic volatility of nuclear energy firms after Fukushima Daiichi," Energy Economics, Elsevier, vol. 41(C), pages 125-136.
  • Handle: RePEc:eee:eneeco:v:41:y:2014:i:c:p:125-136
    DOI: 10.1016/j.eneco.2013.10.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988313002314
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hill, Joanne & Schneeweis, Thomas, 1983. " The Effect of Three Mile Island on Electric Utility Stock Prices: A Note," Journal of Finance, American Finance Association, vol. 38(4), pages 1285-1292, September.
    2. Fink, Jason D. & Fink, Kristin E. & Russell, Allison, 2010. "When and how do tropical storms affect markets? The case of refined petroleum," Energy Economics, Elsevier, vol. 32(6), pages 1283-1290, November.
    3. Campbell, Cynthia J & Wasley, Charles E, 1996. "Measuring Abnormal Daily Trading Volume for Samples of NYSE/ASE and NASDAQ Securities Using Parametric and Nonparametric Test Statistics," Review of Quantitative Finance and Accounting, Springer, vol. 6(3), pages 309-326, May.
    4. André Betzer & Markus Doumet & Ulf Rinne, 2013. "How policy changes affect shareholder wealth: the case of the Fukushima Dai-ichi nuclear disaster," Applied Economics Letters, Taylor & Francis Journals, vol. 20(8), pages 799-803, May.
    5. Wei Huang & Qianqiu Liu & S. Ghon Rhee & Liang Zhang, 2010. "Return Reversals, Idiosyncratic Risk, and Expected Returns," Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 147-168, January.
    6. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    7. Bohl, Martin T. & Kaufmann, Philipp & Stephan, Patrick M., 2013. "From hero to zero: Evidence of performance reversal and speculative bubbles in German renewable energy stocks," Energy Economics, Elsevier, vol. 37(C), pages 40-51.
    8. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross-Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    9. Corrado, Charles J. & Zivney, Terry L., 1992. "The Specification and Power of the Sign Test in Event Study Hypothesis Tests Using Daily Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(03), pages 465-478, September.
    10. Fields, M. Andrew & Janjigian, Vahan, 1989. "The effect of Chernobyl on electric-utility stock prices," Journal of Business Research, Elsevier, vol. 18(1), pages 81-87, January.
    11. 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.
    12. Barrett, W Brian & Heuson, Andrea J & Kolb, Robert W, 1986. " The Effect of Three Mile Island on Utility Bond Risk Premia: A Note," Journal of Finance, American Finance Association, vol. 41(1), pages 255-261, March.
    13. Selosse, Sandrine & Ricci, Olivia & Maïzi, Nadia, 2013. "Fukushima's impact on the European power sector: The key role of CCS technologies," Energy Economics, Elsevier, vol. 39(C), pages 305-312.
    14. Veith, Stefan & Werner, Jörg R. & Zimmermann, Jochen, 2009. "Capital market response to emission rights returns: Evidence from the European power sector," Energy Economics, Elsevier, vol. 31(4), pages 605-613, July.
    15. Spudeck, Raymond E. & Moyer, R. Charles, 1989. "A note on the stock market's reaction to the accident at three mile island," Journal of Economics and Business, Elsevier, vol. 41(3), pages 235-240, August.
    16. Ahern, Kenneth R., 2009. "Sample selection and event study estimation," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 466-482, June.
    17. William F. Sharpe, 1963. "A Simplified Model for Portfolio Analysis," Management Science, INFORMS, vol. 9(2), pages 277-293, January.
    18. Bowen, Robert M. & Castanias, Richard P. & Daley, Lane A., 1983. "Intra-Industry Effects of the Accident at Three Mile Island," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 18(01), pages 87-111, March.
    19. John J. Binder, 1985. "Measuring the Effects of Regulation with Stock Price Data," RAND Journal of Economics, The RAND Corporation, vol. 16(2), pages 167-183, Summer.
    20. Fink, Jason D. & Fink, Kristin E., 2013. "Hurricane forecast revisions and petroleum refiner equity returns," Energy Economics, Elsevier, vol. 38(C), pages 1-11.
    21. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    22. Chen, Yi-Min & Yang, De-Hsin & Lin, Feng-Jyh, 2013. "Does technological diversification matter to firm performance? The moderating role of organizational slack," Journal of Business Research, Elsevier, vol. 66(10), pages 1970-1975.
    23. Kawashima, Shingo & Takeda, Fumiko, 2012. "The effect of the Fukushima nuclear accident on stock prices of electric power utilities in Japan," Energy Economics, Elsevier, vol. 34(6), pages 2029-2038.
    24. Campbell, Cynthia J. & Cowan, Arnold R. & Salotti, Valentina, 2010. "Multi-country event-study methods," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 3078-3090, December.
    25. 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.
    26. Houdou Basse Mama & Alexander Bassen, 2013. "Contagion effects in the electric utility industry following the Fukushima nuclear accident," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3421-3430, August.
    27. Chen, Carl R., 1984. "The structural stability of the market model after the Three Mile Island accident," Journal of Economics and Business, Elsevier, vol. 36(1), pages 133-140, February.
    28. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    29. Hyukjoon Kim & Hyojeong Lim & Yongtae Park, 2009. "How should firms carry out technological diversification to improve their performance? An analysis of patenting of Korean firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(8), pages 757-770.
    30. Stephen W. Pruitt & Wuttipan Tawarangkoon & K. C. John Wei, 1987. "Chernobyl, commodities, and chaos: An examination of the reaction of commodity futures prices to evolving information," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(5), pages 555-569, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:eee:riibaf:v:41:y:2017:i:c:p:556-576 is not listed on IDEAS
    2. Grossi, Luigi & Heim, Sven & Waterson, Michael, 2014. "A vision of the European energy future? The impact of the German response to the Fukushima earthquake," The Warwick Economics Research Paper Series (TWERPS) 1047, University of Warwick, Department of Economics.
    3. Ferguson, Andrew & Lam, Peter, 2016. "Government policy uncertainty and stock prices: The case of Australia's uranium industry," Energy Economics, Elsevier, vol. 60(C), pages 97-111.
    4. Ben Ammar, Semir & Eling, Martin, 2015. "Common risk factors of infrastructure investments," Energy Economics, Elsevier, vol. 49(C), pages 257-273.
    5. Liu, Haiyan & Ferreira, Susana & Karali, Berna, 2015. "Hurricanes as News? A Comparison of the Impact of Hurricanes on Stock Returns of Energy Companies," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196845, Southern Agricultural Economics Association.
    6. Ming, Zeng & Yingxin, Liu & Shaojie, Ouyang & Hui, Shi & Chunxue, Li, 2016. "Nuclear energy in the Post-Fukushima Era: Research on the developments of the Chinese and worldwide nuclear power industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 147-156.

    More about this item

    Keywords

    Renewable energy; Nuclear energy; Event study; Cross-sectional analysis; Fukushima Daiichi; 4-Factor model; Idiosyncratic volatility; Model parameters;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • 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:eee:eneeco:v:41:y:2014:i:c:p:125-136. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.