IDEAS home Printed from https://ideas.repec.org/a/ags/sojoae/30276.html
   My bibliography  Save this article

Systematic And Unsystematic Risk Of Rates Of Return Associated With Selected Forest Products Companies

Author

Listed:
  • Hotvedt, James E.
  • Tedder, Philip L.

Abstract

No abstract is available for this item.

Suggested Citation

  • Hotvedt, James E. & Tedder, Philip L., 1978. "Systematic And Unsystematic Risk Of Rates Of Return Associated With Selected Forest Products Companies," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 10(1), pages 1-4, July.
    • Handle: RePEc:ags:sojoae:30276
    DOI: 10.22004/ag.econ.30276
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/30276/files/10010135.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.30276?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Baesel, Jerome B, 1974. "On the Assessment of Risk: Some Further Considerations," Journal of Finance, American Finance Association, vol. 29(5), pages 1491-1494, December.
    2. Babcock, Guilford C, 1972. "A Note on Justifying Beta as a Measure of Risk," Journal of Finance, American Finance Association, vol. 27(3), pages 699-702, June.
    3. Schwendiman, Carl J & Pinches, George E, 1975. "An Analysis of Alternative Measures of Investment Risk," Journal of Finance, American Finance Association, vol. 30(1), pages 193-200, March.
    4. Blume, Marshall E, 1971. "On the Assessment of Risk," Journal of Finance, American Finance Association, vol. 26(1), pages 1-10, March.
    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. Mustapher Faque & Umit Hacioglu, 2021. "Investigating the impact of Covid-19 pandemic on stock markets:Evidence from global equity indices," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(7), pages 199-219, October.

    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. 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.
    2. 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.
    3. López-Herrera, Francisco & Valencia-Herrera, Humberto, 2016. "Hacia un Modelo de Valuación de Activos de Capital para México: Análisis de Activos Individuales con Coeficientes Variantes en el Tiempo," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(22), pages 75-103, primer se.
    4. Ayesha Afzal & Nawazish Mirza, 2011. "Size and Value Premium in International Portfolios: Evidence from 15 European Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(2), pages 173-190, June.
    5. Pasaribu, Rowland Bismark Fernando, 2009. "Koreksi Bias Koefisien Beta [Non-Synchronous Trading In Indonesia Stock Exchange]," MPRA Paper 36981, University Library of Munich, Germany.
    6. Pasaribu, Rowland Bismark Fernando, 2009. "Koreksi Bias Koefisien Beta [Non-Synchronous Trading In Indonesia Stock Exchange]," MPRA Paper 39874, University Library of Munich, Germany.
    7. Aasif Shah & Arif Tali & Qaiser Farooq, 2018. "Beta through the prism of wavelets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-17, December.
    8. Antonio Terceño & María Glòria Barberà-Mariné & Yanina Laumann, 2018. "Análisis de los coeficientes beta: evidencia en el mercado de activos chileno," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(3), pages 076-093, December.
    9. Prabhdeep Kaur & Jaspal Singh & Sidharath Seth, 2021. "Investigating the Dynamics of Exchange Traded Funds Across the Bear and Bull Markets: Evidence from Indian Equity ETFs," Vision, , vol. 25(3), pages 350-360, September.
    10. Mahmoud Haddad & Ghassem Homaifar & Said Elfakhani & Hikmat Ahmedov, 2008. "Intertemporal Test of Beta Stationarity Performance of Islamic Sector Structured Mutual Funds," Working Papers 427, Economic Research Forum, revised 09 Jan 2008.
    11. 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).
    12. 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.
    13. Nawazish Mirza, 2008. "Size and value premium in Karachi stock exchange," CREB Working papers 1-2008, Centre for Research in Economics and Business, The Lahore School of Economics, revised 2008.
    14. 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.
    15. Marc Goergen & Luc Renneboog, 2004. "Shareholder Wealth Effects of European Domestic and Cross‐border Takeover Bids," European Financial Management, European Financial Management Association, vol. 10(1), pages 9-45, March.
    16. Dana J. Johnson & Richard E. Bennett & Richard J. Curcio, 1979. "A Note On The Deceptive Nature Of Bayesian Forecasted Betas," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 2(1), pages 65-69, March.
    17. 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.
    18. Deepak Chawla, 2003. "Stability of Alphas and Betas over Bull and Bear Markets: An Empirical Examination," Vision, , vol. 7(2), pages 57-77, July.
    19. Turhan Korkmaz & Emrah I. Çevik & Elif Birkan & Nesrin ÖzataÇ, 2010. "Testing Capm using Markov Switching Model: The Case of Coal Firms," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 23(2), pages 44-59, January.

    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:ags:sojoae:30276. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.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.