IDEAS home Printed from https://ideas.repec.org/p/ebg/iesewp/d-0555.html
   My bibliography  Save this paper

Are calculated betas good for anything?

Author

Listed:
  • Fernandez, Pablo

    (IESE Business School)

Abstract

We calculate betas of 3,813 companies using 60 monthly returns each day of December 2001 and January 2002. The median (average) of the maximum beta divided by the minimum beta was 3.07 (15.7). The median of the percentage daily change (in absolute value) of the betas was 20%. Industry betas are also unstable. On average, the maximum beta of an industry was 2.7 times its minimum beta in December 2001 and January 2002. The median (average) of the percentage daily change (in absolute value) of the industry betas was 7% (16%). This dispersion of the calculated betas has important implications for the instability of beta-ranked portfolios.

Suggested Citation

  • Fernandez, Pablo, 2004. "Are calculated betas good for anything?," IESE Research Papers D/555, IESE Business School.
  • Handle: RePEc:ebg:iesewp:d-0555
    as

    Download full text from publisher

    File URL: http://www.iese.edu/research/pdfs/DI-0555-E.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tinic, Seha M. & West, Richard R., 1984. "Risk and return : Janaury vs. the rest of the year," Journal of Financial Economics, Elsevier, vol. 13(4), pages 561-574, December.
    2. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    3. Laurence Booth, 1999. "Estimating The Equity Risk Premium And Equity Costs: New Ways Of Looking At Old Data," Journal of Applied Corporate Finance, Morgan Stanley, vol. 12(1), pages 100-112, March.
    4. Lintner, John, 1969. "The Aggregation of Investor's Diverse Judgments and Preferences in Purely Competitive Security Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 4(4), pages 347-400, December.
    5. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    6. Basu, Sanjoy, 1983. "The relationship between earnings' yield, market value and return for NYSE common stocks : Further evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 129-156, June.
    7. Keim, Donald B., 1985. "Dividend yields and stock returns: Implications of abnormal January returns," Journal of Financial Economics, Elsevier, vol. 14(3), pages 473-489, September.
    8. Roll, Richard, 1981. "A Possible Explanation of the Small Firm Effect," Journal of Finance, American Finance Association, vol. 36(4), pages 879-888, September.
    9. Ľluboš Pástor & Robert F. Stambaugh, 2001. "The Equity Premium and Structural Breaks," Journal of Finance, American Finance Association, vol. 56(4), pages 1207-1239, August.
    10. Merton H. Miller, 2000. "The History Of Finance: An Eyewitness Account," Journal of Applied Corporate Finance, Morgan Stanley, vol. 13(2), pages 8-14, June.
    11. Shanken, Jay, 1992. "On the Estimation of Beta-Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 1-33.
    12. Welch, Ivo, 2000. "Views of Financial Economists on the Equity Premium and on Professional Controversies," The Journal of Business, University of Chicago Press, vol. 73(4), pages 501-537, October.
    13. Eugene F. Fama & Kenneth R. French, 2002. "The Equity Premium," Journal of Finance, American Finance Association, vol. 57(2), pages 637-659, April.
    14. Gregory Koutmos & Johan Knif, 2002. "Estimating Systematic Risk Using Time Varying Distributions," European Financial Management, European Financial Management Association, vol. 8(1), pages 59-73, March.
    15. Lakonishok, Josef & Shapiro, Alan C., 1986. "Systematic risk, total risk and size as determinants of stock market returns," Journal of Banking & Finance, Elsevier, vol. 10(1), pages 115-132, March.
    16. John M. Griffin, 2002. "Are the Fama and French Factors Global or Country Specific?," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 783-803.
    17. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    18. Keim, Donald B., 1983. "Size-related anomalies and stock return seasonality : Further empirical evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 13-32, June.
    19. Kothari, S P & Shanken, Jay & Sloan, Richard G, 1995. "Another Look at the Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 50(1), pages 185-224, March.
    20. Roll, Richard & Ross, Stephen A, 1994. "On the Cross-sectional Relation between Expected Returns and Betas," Journal of Finance, American Finance Association, vol. 49(1), pages 101-121, March.
    21. Haitao Li & Yuewu Xu, 2002. "Survival Bias and the Equity Premium Puzzle," Journal of Finance, American Finance Association, vol. 57(5), pages 1981-1995, October.
    22. Litzenberger, Robert H. & Ramaswamy, Krishna, 1979. "The effect of personal taxes and dividends on capital asset prices : Theory and empirical evidence," Journal of Financial Economics, Elsevier, vol. 7(2), pages 163-195, June.
    23. Joao Gomes & Leonid Kogan & Lu Zhang, 2003. "Equilibrium Cross Section of Returns," Journal of Political Economy, University of Chicago Press, vol. 111(4), pages 693-732, August.
    24. Pettengill, Glenn N. & Sundaram, Sridhar & Mathur, Ike, 1995. "The Conditional Relation between Beta and Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 101-116, March.
    25. Shalit, Haim & Yitzhaki, Shlomo, 2002. "Estimating Beta," Review of Quantitative Finance and Accounting, Springer, vol. 18(2), pages 95-118, March.
    26. Tom Berglund & Johan Knif, 1999. "Accounting for the Accuracy of Beta Estimates in CAPM Tests on Assets with Time‐varying Risks," European Financial Management, European Financial Management Association, vol. 5(1), pages 29-42, March.
    27. Philippe Jorion & William N. Goetzmann, 1999. "Global Stock Markets in the Twentieth Century," Journal of Finance, American Finance Association, vol. 54(3), pages 953-980, June.
    28. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    29. Gibbons, Michael R., 1982. "Multivariate tests of financial models : A new approach," Journal of Financial Economics, Elsevier, vol. 10(1), pages 3-27, March.
    30. Basu, S, 1977. "Investment Performance of Common Stocks in Relation to Their Price-Earnings Ratios: A Test of the Efficient Market Hypothesis," Journal of Finance, American Finance Association, vol. 32(3), pages 663-682, June.
    31. Avramov, Doron, 2002. "Stock return predictability and model uncertainty," Journal of Financial Economics, Elsevier, vol. 64(3), pages 423-458, June.
    32. Reinganum, Marc R., 1981. "Misspecification of capital asset pricing : Empirical anomalies based on earnings' yields and market values," Journal of Financial Economics, Elsevier, vol. 9(1), pages 19-46, March.
    33. Constantinides, George M, 1982. "Intertemporal Asset Pricing with Heterogeneous Consumers and without Demand Aggregation," The Journal of Business, University of Chicago Press, vol. 55(2), pages 253-267, April.
    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. Wang, Daxue, 2008. "Herd behavior towards the market index: Evidence from 21 financial markets," IESE Research Papers D/776, IESE Business School.
    2. TILEAGA Cosmin & NITU Oana & NITU Claudiu Valentin, 2014. "Methods For Estimating The Cost Of Capital," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 66(4), pages 7-19.

    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. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    2. Gabriel Hawawini & Donald B. Keim, "undated". "The Cross Section of Common Stock Returns: A Review of the Evidence and Some New Findings," Rodney L. White Center for Financial Research Working Papers 08-99, Wharton School Rodney L. White Center for Financial Research.
    3. Amir Amel†Zadeh, 2011. "The Return of the Size Anomaly: Evidence from the German Stock Market," European Financial Management, European Financial Management Association, vol. 17(1), pages 145-182, January.
    4. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    5. van Dijk, Mathijs A., 2011. "Is size dead? A review of the size effect in equity returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3263-3274.
    6. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    7. De Moor, Lieven & Sercu, Piet, 2013. "The smallest firm effect: An international study," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 129-155.
    8. Polk, Christopher & Thompson, Samuel & Vuolteenaho, Tuomo, 2006. "Cross-sectional forecasts of the equity premium," Journal of Financial Economics, Elsevier, vol. 81(1), pages 101-141, July.
    9. Attiya Y. Javid & Eatzaz Ahmad, 2008. "The Conditional Capital Asset Pricing Model: Evidence from Karachi Stock Exchange," PIDE-Working Papers 2008:48, Pakistan Institute of Development Economics.
    10. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    11. Trabelsi, Mohamed Ali, 2010. "Choix de portefeuille: comparaison des différentes stratégies [Portfolio selection: comparison of different strategies]," MPRA Paper 82946, University Library of Munich, Germany, revised 01 Dec 2010.
    12. Murtazashvili, Irina & Vozlyublennaia, Nadia, 2012. "The role of data limitations, seasonality and frequency in asset pricing models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 555-574.
    13. Sheu, Her-Jiun & Wu, Soushan & Ku, Kuang-Ping, 1998. "Cross-sectional relationships between stock returns and market beta, trading volume, and sales-to-price in Taiwan," International Review of Financial Analysis, Elsevier, vol. 7(1), pages 1-18.
    14. John Y. Campbell & Tuomo Vuolteenaho, 2004. "Bad Beta, Good Beta," American Economic Review, American Economic Association, vol. 94(5), pages 1249-1275, December.
    15. Adam Zaremba, 2019. "The Cross Section of Country Equity Returns: A Review of Empirical Literature," JRFM, MDPI, vol. 12(4), pages 1-26, October.
    16. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    17. Kie Wong & Ruth Tan & Wei Liu, 2006. "The Cross-Section of Stock Returns on The Shanghai Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 26(1), pages 23-39, February.
    18. Durand, Robert B. & Lan, Yihui & Ng, Andrew, 2011. "Conditional beta: Evidence from Asian emerging markets," Global Finance Journal, Elsevier, vol. 22(2), pages 130-153.
    19. López-García, M.N. & Trinidad-Segovia, J.E. & Sánchez-Granero, M.A. & Pouchkarev, I., 2021. "Extending the Fama and French model with a long term memory factor," European Journal of Operational Research, Elsevier, vol. 291(2), pages 421-426.
    20. Christophe Morel, 2001. "Stock selection using a multi-factor model - empirical evidence from the French stock market," The European Journal of Finance, Taylor & Francis Journals, vol. 7(4), pages 312-334.

    More about this item

    Keywords

    beta; historical beta; expected beta; systematic risk; cost equity;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    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:ebg:iesewp:d-0555. 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: Noelia Romero (email available below). General contact details of provider: https://edirc.repec.org/data/ienaves.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.