IDEAS home Printed from https://ideas.repec.org/a/bap/journl/140202.html
   My bibliography  Save this article

Volatility of the Utilities Industry: Its Causal Relationship to Other Nine Industries

Author

Listed:
  • Kuo-Hao Lee

    (Department of Finance, College of Business, Bloomsburg University of Pennsylvania, U.S.A.)

  • Ahmed Elkassabgi

    (A.R. Sanchez Jr. School of Business, Texas A&M International University, U.S.A.)

  • Wei-Jen Hsieh

    (Department of Mathematics, Statistics & Computer Science, College of Science and Technology Bloomsburg University of Pennsylvania, U.S.A.)

Abstract

The goal of this study is to investigate the causality relationship between the Utilities industry and the nine other industries. Previous literatures show that volatility of stock prices is informative; Granger causality is applied in this research by using of a leveraged bootstrap test developed by Hacker and Hatemi-J (2006) to examine the behavior of the volatility. The results indicate that causality of the volatility of the Utilities industry on the volatility of seven other industries, except the Information Technology and Telecommunication Services industries. The data also suggest that Financials industry has impact on the Utilities industry.

Suggested Citation

  • Kuo-Hao Lee & Ahmed Elkassabgi & Wei-Jen Hsieh, 2014. "Volatility of the Utilities Industry: Its Causal Relationship to Other Nine Industries," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 15-22, May.
    • Handle: RePEc:bap:journl:140202
    as

    Download full text from publisher

    File URL: http://www.bapress.ca/ref/v4-2/1923-7529-2014-02-15-08.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2007. "Do industries lead stock markets?," Journal of Financial Economics, Elsevier, vol. 83(2), pages 367-396, February.
    2. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    3. Yexiao Xu & Burton G. Malkiel, 2003. "Investigating the Behavior of Idiosyncratic Volatility," The Journal of Business, University of Chicago Press, vol. 76(4), pages 613-644, October.
    4. Balcilar, Mehmet & Ozdemir, Zeynel Abidin, 2013. "The causal nexus between oil prices and equity market in the U.S.: A regime switching model," Energy Economics, Elsevier, vol. 39(C), pages 271-282.
    5. Mustafa Sayim & Pamela D. Morris & Hamid Rahman, 2013. "The effect of US individual investor sentiment on industry‐specific stock returns and volatility," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 5(1), pages 58-76, September.
    6. Anderson, Keith & Brooks, Chris & Katsaris, Apostolos, 2010. "Speculative bubbles in the S&P 500: Was the tech bubble confined to the tech sector?," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 345-361, June.
    7. Busch, Thomas & Christensen, Bent Jesper & Nielsen, Morten Ørregaard, 2011. "The role of implied volatility in forecasting future realized volatility and jumps in foreign exchange, stock, and bond markets," Journal of Econometrics, Elsevier, vol. 160(1), pages 48-57, January.
    8. Hatemi-J, Abdulnasser & Irandoust, Manuchehr, 2011. "The dynamic interaction between volatility and returns in the US stock market using leveraged bootstrap simulations," Research in International Business and Finance, Elsevier, vol. 25(3), pages 329-334, September.
    9. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    10. R. Scott Hacker & Abdulnasser Hatemi-J, 2006. "Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1489-1500.
    11. A. Hatemi-J & R. S. Hacker, 2009. "Can the LR test be helpful in choosing the optimal lag order in the VAR model when information criteria suggest different lag orders?," Applied Economics, Taylor & Francis Journals, vol. 41(9), pages 1121-1125.
    12. Michael W. Brandt & Alon Brav & John R. Graham & Alok Kumar, 2010. "The Idiosyncratic Volatility Puzzle: Time Trend or Speculative Episodes?," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 863-899, February.
    13. Heston, Steven L. & Rouwenhorst, K. Geert, 1994. "Does industrial structure explain the benefits of international diversification?," Journal of Financial Economics, Elsevier, vol. 36(1), pages 3-27, August.
    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. Nartea, Gilbert V. & Wu, Ji, 2013. "Is there a volatility effect in the Hong Kong stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 119-135.
    2. Bartram, Söhnke M. & Brown, Gregory W. & Stulz, René M., 2016. "Why does idiosyncratic risk increase with market risk?," CFS Working Paper Series 533, Center for Financial Studies (CFS).
    3. Kondor, Péter & Sadka, Ronnie & Kang, Namho, 2011. "Idiosyncratic Return Volatility in the Cross-Section of Stocks," CEPR Discussion Papers 8307, C.E.P.R. Discussion Papers.
    4. Shynkevich, Andrei, 2013. "Time-series momentum as an intra- and inter-industry effect: Implications for market efficiency," Journal of Economics and Business, Elsevier, vol. 69(C), pages 64-85.
    5. Hsin, Chin-Wen & Tseng, Po-Wen, 2012. "Stock price synchronicities and speculative trading in emerging markets," Journal of Multinational Financial Management, Elsevier, vol. 22(3), pages 82-109.
    6. Vozlyublennaia, Nadia, 2013. "Do firm characteristics matter for the dynamics of idiosyncratic risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 35-46.
    7. Zura Kakushadze & Willie Yu, 2016. "Multifactor Risk Models and Heterotic CAPM," Papers 1602.04902, arXiv.org, revised Mar 2016.
    8. Greenwood, Robin & Shleifer, Andrei & You, Yang, 2019. "Bubbles for Fama," Journal of Financial Economics, Elsevier, vol. 131(1), pages 20-43.
    9. Bekaert, Geert & Hodrick, Robert J. & Zhang, Xiaoyan, 2012. "Aggregate Idiosyncratic Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(6), pages 1155-1185, December.
    10. Rossi, Francesco, 2011. "Risk components in UK cross-sectional equities: evidence of regimes and overstated parametric estimates," MPRA Paper 38682, University Library of Munich, Germany, revised 31 Mar 2012.
    11. Anup Srivastava & Senyo Y. Tse, 2016. "Why Are Successive Cohorts of Listed Firms Persistently Riskier?," European Financial Management, European Financial Management Association, vol. 22(5), pages 957-1000, November.
    12. Nam, Kiseok & Khaksari, Shahriar & Kang, Moonsoo, 2017. "Trend in aggregate idiosyncratic volatility," Review of Financial Economics, Elsevier, vol. 35(C), pages 11-28.
    13. Che, Limei, 2018. "Investor types and stock return volatility," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 139-161.
    14. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 1-20.
    15. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 1-20, February.
    16. Moonsoo Kang & Kiseok Nam, 2015. "Informed trade and idiosyncratic return variation," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 551-572, April.
    17. Rubin, Amir & Smith, Daniel R., 2011. "Comparing different explanations of the volatility trend," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1581-1597, June.
    18. Kang, Namho & Kondor, Péter & Sadka, Ronnie, 2014. "Do Hedge Funds Reduce Idiosyncratic Risk?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 843-877, August.
    19. Ana Isabel Ramos Domingues & António de Melo da Costa Cerqueira & Elísio Fernando Moreira Brandão, 2016. "Idiosyncratic Volatility and Earnings Quality: Evidence from United Kingdom," FEP Working Papers 579, Universidade do Porto, Faculdade de Economia do Porto.
    20. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "R2 and idiosyncratic volatility: Which captures the firm-specific return variation?," Economic Modelling, Elsevier, vol. 55(C), pages 298-304.

    More about this item

    Keywords

    Granger Causality; Volatility; S&P 500; Bootstrap; Simulation;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:bap:journl:140202. 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: Carlson (email available below). General contact details of provider: http://www.bapress.ca .

    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.