IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/68783.html
   My bibliography  Save this paper

Analyse Risk-Return Paradox: Evidence from Electricity Sector of Pakistan

Author

Listed:
  • Naqi Shah, Sadia
  • Qayyum, Abdul

Abstract

This study analyse risk return relationship of the electricity companies of Pakistan by using the log return series of these electricity companies. Financial time series data have the property of autoregressive heteroscedasticity so move towards the GARCH family test. As the study want to analyse the risk return relationship so, GARCH-M Model of Engel et al (1987) is used, who empirically found relationship between risk and return. Results show that risk return in case of Pakistan electricity companies is not a specific relation (negative or positive) rather they show paradox of risk return.

Suggested Citation

  • Naqi Shah, Sadia & Qayyum, Abdul, 2016. "Analyse Risk-Return Paradox: Evidence from Electricity Sector of Pakistan," MPRA Paper 68783, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:68783
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/68783/1/MPRA_paper_68783.pdf
    File Function: original version
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Muhammad Arshad Khan & Usman Ahmad, 2008. "Energy Demand in Pakistan: A Disaggregate Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 437-455.
    2. Nyberg, Henri, 2012. "Risk-Return Tradeoff in U.S. Stock Returns over the Business Cycle," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(01), pages 137-158, April.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Asiya Sohail & Attiya Yasmin Javid, 2014. "The Global Financial Crisis and Investors’ Behaviour; Evidence from the Karachi Stock Exchange," PIDE-Working Papers 2014:106, Pakistan Institute of Development Economics.
    5. Afia Malik, 2012. "Power Crisis in Pakistan: A Crisis in Governance?," PIDE Monograph Series 2012:4, Pakistan Institute of Development Economics.
    6. Sahir, Mukhtar H. & Qureshi, Arshad H., 2007. "Specific concerns of Pakistan in the context of energy security issues and geopolitics of the region," Energy Policy, Elsevier, vol. 35(4), pages 2031-2037, April.
    7. Sheikh, Munawar A., 2010. "Energy and renewable energy scenario of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 354-363, January.
    8. Ghysels, Eric & Guérin, Pierre & Marcellino, Massimiliano, 2014. "Regime switches in the risk–return trade-off," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 118-138.
    9. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    10. Daniel B. Nelson, 1994. "Asymptotically Optimal Smoothing with ARCH Models," NBER Technical Working Papers 0161, National Bureau of Economic Research, Inc.
    11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    12. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    13. repec:bla:joares:v:21:y:1983:i:1:p:308-316 is not listed on IDEAS
    14. repec:pid:wpaper:2012:4 is not listed on IDEAS
    15. Lanne, Markku & Saikkonen, Pentti, 2006. "Why is it so difficult to uncover the risk-return tradeoff in stock returns?," Economics Letters, Elsevier, vol. 92(1), pages 118-125, July.
    16. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    17. Kinnunen, Jyri, 2014. "Risk-return trade-off and serial correlation: Do volume and volatility matter?," Journal of Financial Markets, Elsevier, vol. 20(C), pages 1-19.
    18. Muhammad Ibrahim Abdullah & Liu Wei & Waseem Anwar & Umair Saeed Bhutta, 2013. "Energy Crisis and Performance of Industry of Pakistan: An Empirical Study," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 1(3), pages 21-27, September.
    19. Enrique Salvador, 2012. "The Risk-Return Trade-Off in Emerging Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(6), pages 106-128, November.
    20. John Cotter & Enrique Salvador, 2014. "The non-linear trade-off between return and risk: a regime-switching multi-factor framework," Papers 1410.6005, arXiv.org.
    21. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    GARCH test; Risk return relation; Paradox; GARCH-M; Pakistan;

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:68783. 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: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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.