IDEAS home Printed from https://ideas.repec.org/a/bla/jfnres/v10y1987i2p143-152.html
   My bibliography  Save this article

Systematic Risk In A Purely Random Market Model: Some Empirical Evidence For Individual Public Utilities

Author

Listed:
  • Abdul Rahman
  • Lawrence Kryzanowski
  • Ah Boon Sim

Abstract

No abstract is available for this item.

Suggested Citation

  • Abdul Rahman & Lawrence Kryzanowski & Ah Boon Sim, 1987. "Systematic Risk In A Purely Random Market Model: Some Empirical Evidence For Individual Public Utilities," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 10(2), pages 143-152, June.
    • Handle: RePEc:bla:jfnres:v:10:y:1987:i:2:p:143-152
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1475-6803.1987.tb00486.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Fabozzi, Frank J. & Francis, Jack Clark, 1978. "Beta as a Random Coefficient," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 13(1), pages 101-116, March.
    2. Kryzanowski, Lawrence & To, Minh Chau, 1984. "The Telescopic Effect of Past Return Realizations on Ex-Post Beta Estimates," The Financial Review, Eastern Finance Association, vol. 19(1), pages 1-25, March.
    3. Fabozzi, Frank J & Francis, Jack Clark, 1977. "Stability Tests for Alphas and Betas over Bull and Bear Market Conditions," Journal of Finance, American Finance Association, vol. 32(4), pages 1093-1099, September.
    4. Kim, Moon K. & Zumwalt, J. Kenton, 1979. "An Analysis of Risk in Bull and Bear Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 14(5), pages 1015-1025, December.
    5. Scott, Elton & Brown, Stewart, 1980. "Biased Estimators and Unstable Betas," Journal of Finance, American Finance Association, vol. 35(1), pages 49-55, March.
    6. Sunder, Shyam, 1980. "Stationarity of Market Risk: Random Coefficients Tests for Individual Stocks," Journal of Finance, American Finance Association, vol. 35(4), pages 883-896, September.
    7. Singh, Balvir, et al, 1976. "On the Estimation of Structural Change: A Generalization of the Random Coefficients Regression Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(2), pages 340-361, June.
    8. Blume, Marshall E, 1975. "Betas and Their Regression Tendencies," Journal of Finance, American Finance Association, vol. 30(3), pages 785-795, June.
    9. Alexander, Gordon J. & Benson, P. George, 1982. "More on Beta as a Random Coefficient," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 17(1), pages 27-36, March.
    10. Bos, T & Newbold, P, 1984. "An Empirical Investigation of the Possibility of Stochastic Systematic Risk in the Market Model," The Journal of Business, University of Chicago Press, vol. 57(1), pages 35-41, January.
    11. Blume, Marshall E, 1971. "On the Assessment of Risk," Journal of Finance, American Finance Association, vol. 26(1), pages 1-10, March.
    12. Gonedes, Nicholas J., 1973. "Evidence on the Information Content of Accounting Numbers: Accounting-based and Market-based Estimates of Systematic Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 8(3), pages 407-443, June.
    13. Bey, Roger P., 1983. "Market Model Stationarity of Individual Public Utilities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 18(1), pages 67-85, March.
    14. Brenner, Menachem & Smidt, Seymour, 1977. "A Simple Model of Non-Stationarity of Systematic Risk," Journal of Finance, American Finance Association, vol. 32(4), pages 1081-1092, September.
    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. He, Zhongzhi (Lawrence) & Kryzanowski, Lawrence, 2008. "Dynamic betas for Canadian sector portfolios," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1110-1122, December.
    2. Adjaoud, Fodil & Rahman, Abdul, 1996. "A note on the temporal variability of Canadian financial services stock returns," Journal of Banking & Finance, Elsevier, vol. 20(1), pages 165-177, January.

    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. Manuel Monge & Luis A. Gil-Alana, 2020. "The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies," Risks, MDPI, vol. 8(4), pages 1-17, December.
    2. K. Giannopoulos, 1995. "Estimating the time Varying Components of international stock markets' risk," The European Journal of Finance, Taylor & Francis Journals, vol. 1(2), pages 129-164.
    3. Stefano D'Addona & Mattia Ciprian, 2007. "Time Varying Sensitivities On A Grid Architecture," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 307-329.
    4. Brooks, Robert D. & Faff, Robert W. & Ariff, Mohamed, 1998. "An investigation into the extent of beta instability in the Singapore stock market," Pacific-Basin Finance Journal, Elsevier, vol. 6(1-2), pages 87-101, May.
    5. Rua, António & Nunes, Luis C., 2012. "A wavelet-based assessment of market risk: The emerging markets case," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 84-92.
    6. Roger P. Bey, 1983. "The Market Model As An Appropriate Description Of The Stochastic Process Generating Security Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 6(4), pages 275-288, December.
    7. Anders Johansson, 2009. "An analysis of dynamic risk in the Greater China equity markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 7(3), pages 299-320.
    8. Magdalena Mikolajek-Gocejna, 2021. "Estimation, Instability, and Non-Stationarity of Beta Coefficients for Twenty-four Emerging Markets in 2005-2021," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 370-395.
    9. N. Groenewold & P. Fraser, 1999. "Forecasting Beta: How well does the 'five year rule of thumb' do?," Economics Discussion / Working Papers 99-01, The University of Western Australia, Department of Economics.
    10. Antypas, Antonios & Caporale, Guglielmo Maria & Kourogenis, Nikolaos & Pittis, Nikitas, 2020. "Estimation of conditional asset pricing models with integrated variables in the beta specification," Research in International Business and Finance, Elsevier, vol. 52(C).
    11. Szczepocki Piotr, 2019. "Clustering Companies Listed on the Warsaw Stock Exchange According to Time-Varying Beta," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(2), pages 63-79, June.
    12. Ortas, E. & Salvador, M. & Moneva, J.M., 2015. "Improved beta modeling and forecasting: An unobserved component approach with conditional heteroscedastic disturbances," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 27-51.
    13. Keith Lam, 1999. "Some evidence on the distribution of beta in Hong Kong," Applied Financial Economics, Taylor & Francis Journals, vol. 9(3), pages 251-262.
    14. M. V. Esteban & E. Ferreira & S. Orbe-Mandaluniz, 2015. "Nonparametric methods for estimating and testing for constant betas in asset pricing models," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2577-2607, May.
    15. Esteban González, María Victoria & Tusell Palmer, Fernando Jorge, 2009. "Predicting Betas: Two new methods," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    16. Buckland, Roger & Fraser, Patricia, 2002. "The scale and patterns of abnormal returns to equity investment in UK electricity distribution," Global Finance Journal, Elsevier, vol. 13(1), pages 39-62.
    17. Dębski Wiesław & Feder-Sempach Ewa & Świderski Bartosz, 2014. "Intervalling Effect On Estimating The Beta Parameter For The Largest Companies On The WSE," Folia Oeconomica Stetinensia, Sciendo, vol. 14(2), pages 270-286, December.
    18. Gangemi, Michael & Brooks, Robert & Faff, Robert, 1999. "Mean reversion and the forecasting of country betas: a note," Global Finance Journal, Elsevier, vol. 10(2), pages 231-245.
    19. Phoebe Koundouri & Nikolaos Kourogenis & Nikitas Pittis & Panagiotis Samartzis, 2015. "Factor Models as 'Explanatory Unifiers' versus 'Explanatory Ideals' of Empirical Regularities of Stock Returns," DEOS Working Papers 1507, Athens University of Economics and Business.

    More about this item

    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:bla:jfnres:v:10:y:1987:i:2:p:143-152. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfaaaea.html .

    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.