IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v142y2020ics0301421520302330.html
   My bibliography  Save this article

Capital asset pricing model, beta stability, and the pricing puzzle of electricity transmission in Brazil

Author

Listed:
  • Kayo, Eduardo K.
  • Martelanc, Roy
  • Brunaldi, Eduardo O.
  • da Silva, Walter E.

Abstract

This paper seeks to analyse and propose alternative procedures to estimate the cost of equity through the capital asset pricing model (CAPM) in the context of electricity transmission in Brazil. Under the assumption that a stable beta is important for regulatory purposes since it provides institutional security for investors, as well as fair tariffs for consumers, we test different options to find the set of parameters that provides the most stable beta for the transmission sector. This paper is prescriptive in nature and attempts to offer alternative options for the cost of equity estimation, without changing the theoretical framework (i.e., CAPM) proposed by the Brazilian regulator. To pursue our aim, we test beta stability by modifying three CAPM elements: the risk asset, the proxy for market returns, and the length of the estimation window. By applying robust structural break tests, we show that the desirable beta stability may be reached with the use of a Brazilian pure-play global beta estimated with an 11-year estimation window.

Suggested Citation

  • Kayo, Eduardo K. & Martelanc, Roy & Brunaldi, Eduardo O. & da Silva, Walter E., 2020. "Capital asset pricing model, beta stability, and the pricing puzzle of electricity transmission in Brazil," Energy Policy, Elsevier, vol. 142(C).
    • Handle: RePEc:eee:enepol:v:142:y:2020:i:c:s0301421520302330
    DOI: 10.1016/j.enpol.2020.111485
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421520302330
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2020.111485?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
    ---><---

    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. Theobald, Michael, 1981. "Beta Stationarity and Estimation Period: Some Analytical Results," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(5), pages 747-757, December.
    2. Fuller, Russell J & Kerr, Halbert S, 1981. "Estimating the Divisional Cost of Capital: An Analysis of the Pure-Play Technique," Journal of Finance, American Finance Association, vol. 36(5), pages 997-1009, December.
    3. Philipp Krüger & Augustin Landier & David Thesmar, 2015. "The WACC Fallacy: The Real Effects of Using a Unique Discount Rate," Journal of Finance, American Finance Association, vol. 70(3), pages 1253-1285, June.
    4. Nicolaas Groenewald & Patricia Fraser, 2000. "Forecasting Beta: How Well Does the 'Five-Year Rule of Thumb' Do?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(7&8), pages 953-982.
    5. Roll, Richard, 1977. "A critique of the asset pricing theory's tests Part I: On past and potential testability of the theory," Journal of Financial Economics, Elsevier, vol. 4(2), pages 129-176, March.
    6. Tagliapietra, Simone & Zachmann, Georg & Fredriksson, Gustav, 2019. "Estimating the cost of capital for wind energy investments in Turkey," Energy Policy, Elsevier, vol. 131(C), pages 295-301.
    7. Rode, David C. & Fischbeck, Paul S., 2019. "Regulated equity returns: A puzzle," Energy Policy, Elsevier, vol. 133(C).
    8. Agmon, Tamir, 1973. "Country Risk: The Significance of the Country Factor for Share-Price Movements in the United Kingdom, Germany, and Japan," The Journal of Business, University of Chicago Press, vol. 46(1), pages 24-32, January.
    9. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    10. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    11. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    12. 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.
    13. René M. Stulz, 1999. "Golbalization, Corporate Finance, And The Cost Of Capital," Journal of Applied Corporate Finance, Morgan Stanley, vol. 12(3), pages 8-25, September.
    14. Rocha, Katia & Camacho, Fernando & Braganca, Gabriel, 2007. "Return on capital of Brazilian electricity distributors: A comparative analysis," Energy Policy, Elsevier, vol. 35(4), pages 2526-2537, April.
    15. Levi, Yaron & Welch, Ivo, 2017. "Best Practice for Cost-of-Capital Estimates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(2), pages 427-463, April.
    16. Donovan, Charles & Nuñez, Laura, 2012. "Figuring what’s fair: The cost of equity capital for renewable energy in emerging markets," Energy Policy, Elsevier, vol. 40(C), pages 49-58.
    17. Jaime Sabal, 2004. "The Discount Rate in Emerging Markets: A Guide," Journal of Applied Corporate Finance, Morgan Stanley, vol. 16(2‐3), pages 155-166, March.
    18. Black, Fischer, 1972. "Capital Market Equilibrium with Restricted Borrowing," The Journal of Business, University of Chicago Press, vol. 45(3), pages 444-455, July.
    19. 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.
    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. Jorge Armando Bedoya-Cadavid & Ángela María Lanzas-Duque & Harold Salazar, 2023. "WACC for Electric Power Transmission System Operators: The Case of Colombia," Energies, MDPI, vol. 16(2), pages 1-13, January.
    2. Singh, Kewal & Singh, Anoop & Prakash, Puneet, 2022. "Estimating the cost of equity for the regulated energy and infrastructure sectors in India," Utilities Policy, Elsevier, vol. 74(C).

    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. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    2. Shafiqur Rahman & Matthew J. Schneider, 2019. "Tests of Alternative Asset Pricing Models Using Individual Security Returns and a New Multivariate F-Test," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-34, March.
    3. Shiyang Huang & Xin Liu & Dong Lou & Christopher Polk, 2024. "The Booms and Busts of Beta Arbitrage," Management Science, INFORMS, vol. 70(8), pages 5367-5385, August.
    4. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.
    5. Sebastien Valeyre & Sofiane Aboura & Denis Grebenkov, 2019. "The Reactive Beta Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(1), pages 71-113, March.
    6. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    7. Sebastien Valeyre, 2020. "Refined model of the covariance/correlation matrix between securities," Papers 2001.08911, arXiv.org.
    8. Anton Astakhov & Tomas Havranek & Jiri Novak, 2017. "Firm Size and Stock Returns: A Meta-Analysis," Working Papers IES 2017/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2017.
    9. Vafai, Nima & Rakowski, David, 2024. "The sources of portfolio volatility and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 91(C).
    10. Chen, Jiaqi & Sherif, Mohamed, 2016. "Illiquidity premium and expected stock returns in the UK: A new approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 52-66.
    11. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2020. "The memory of stock return volatility: Asset pricing implications," Journal of Financial Markets, Elsevier, vol. 47(C).
    12. Kaserer Christoph & Hanauer Matthias X., 2017. "25 Jahre Fama-French-Modell: Erklärungsgehalt, Anomalien und praktische Implikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 18(2), pages 98-116, June.
    13. Johan Knif & James W. Kolari & Gregory Koutmos & Seppo Pynnönen, 2019. "Measuring the relative return contribution of risk factors," Journal of Asset Management, Palgrave Macmillan, vol. 20(4), pages 263-272, July.
    14. Rihab Bedoui & Houda BenMabrouk, 2017. "CAPM with various utility functions: Theoretical developments and application to international data," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1343230-134, January.
    15. Singh, Kewal & Singh, Anoop & Prakash, Puneet, 2022. "Estimating the cost of equity for the regulated energy and infrastructure sectors in India," Utilities Policy, Elsevier, vol. 74(C).
    16. Bai, Jennie & Bali, Turan G. & Wen, Quan, 2021. "Is there a risk-return tradeoff in the corporate bond market? Time-series and cross-sectional evidence," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1017-1037.
    17. Bradrania, Reza & Veron, Jose Francisco & Wu, Winston, 2023. "The beta anomaly and the quality effect in international stock markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    18. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    19. Bradrania, Reza & Veron, Jose Francisco, 2023. "The beta anomaly in the Australian stock market and the lottery demand," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    20. Hollstein, Fabian & Prokopczuk, Marcel, 2022. "Testing Factor Models in the Cross-Section," Journal of Banking & Finance, Elsevier, vol. 145(C).

    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:eee:enepol:v:142:y:2020:i:c:s0301421520302330. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.