IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v16y2023i11p480-d1278709.html
   My bibliography  Save this article

Using the Capital Asset Pricing Model and the Fama–French Three-Factor and Five-Factor Models to Manage Stock and Bond Portfolios: Evidence from Timor-Leste

Author

Listed:
  • Fernando Anuno

    (Faculty of Economics and Management, National University of Timor Lorosa’e (UNTL), Díli 10000, Timor-Leste
    GOVCOPP—Research Unit on Governance, Competitiveness and Public Policies, Department of Economics, Management, Industrial Engineering and Tourism(DEGEIT), University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal)

  • Mara Madaleno

    (GOVCOPP—Research Unit on Governance, Competitiveness and Public Policies, Department of Economics, Management, Industrial Engineering and Tourism(DEGEIT), University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal)

  • Elisabete Vieira

    (GOVCOPP Unit Research, Aveiro Institute of Accounting and Administration, University of Aveiro (ISCA-UA), Campus Universitário de Santiago, 3810-902 Aveiro, Portugal)

Abstract

Timor-Leste is a new country still in the process of economic development and does not yet have a capital market for stock and bond investments. These two asset classes have been invested in international capital markets such as the US, the UK, Japan, and Europe. We examine the performance of the capital asset pricing model (CAPM) and the Fama–French three-factor and five-factor models on the excess returns of Timor-Leste’s equity and bond investments in the international market over the period 2006 to 2019. Our empirical results show that the market factor (MKT) is positively and significantly associated with the excess returns of the CAPM and the Fama–French three-factor and five-factor models. Moreover, the two variables Small Minus Big (SMB) as a size factor and High Minus Low (HML) as a value factor have a negative and significant effect on the excess returns in the Fama–French three-factor model and five-factor model. Further analysis revealed that the explanatory power of the Fama–French five-factor model is that the Robust Minus Weak (RMW) factor as a profitability factor is positively and significantly associated with excess returns, while the Conservative Minus Aggressive (CMA) factor as an investment factor is insignificant.

Suggested Citation

  • Fernando Anuno & Mara Madaleno & Elisabete Vieira, 2023. "Using the Capital Asset Pricing Model and the Fama–French Three-Factor and Five-Factor Models to Manage Stock and Bond Portfolios: Evidence from Timor-Leste," JRFM, MDPI, vol. 16(11), pages 1-22, November.
  • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:11:p:480-:d:1278709
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/16/11/480/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/16/11/480/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thorsten Hens & Fatemeh Naebi, 2021. "Behavioural heterogeneity in the capital asset pricing model with an application to the low-beta anomaly," Applied Economics Letters, Taylor & Francis Journals, vol. 28(6), pages 501-507, March.
    2. Subhransu S. Mohanty, 2019. "Does one model fit all in global equity markets? Some insight into market factor based strategies in enhancing alpha," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1170-1192, July.
    3. Aviral Kumar Tiwari & Ibrahim D. Raheem & Seref Bozoklu & Shawkat Hammoudeh, 2022. "The Oil Price‐Macroeconomic fundamentals nexus for emerging market economies: Evidence from a wavelet analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1569-1590, January.
    4. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    5. Bank, Matthias & Insam, Franz, 2019. "Risk premium contributions of the Fama and French mimicking factors," Finance Research Letters, Elsevier, vol. 29(C), pages 347-356.
    Full references (including those not matched with items on IDEAS)

    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. Javier Rojo‐Suárez & Ana Belén Alonso‐Conde & Ricardo Ferrero‐Pozo, 2022. "Liquidity, time‐varying betas and anomalies: Is the high trading activity enhancing the validity of the CAPM in the UK equity market?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 45-60, January.
    2. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    3. Kiran Paudel & Atsuyuki Naka, 2023. "Effects of size on the exchange-traded funds performance," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 474-484, October.
    4. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    5. Christoffersen, Peter & Ghysels, Eric & Swanson, Norman R., 2002. "Let's get "real" about using economic data," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 343-360, August.
    6. Radosław Kurach, 2013. "Does Beta Explain Global Equity Market Volatility – Some Empirical Evidence," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    7. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    8. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.
    9. Abugri, Benjamin A. & Dutta, Sandip, 2014. "Are we overestimating REIT idiosyncratic risk? Analysis of pricing effects and persistence," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 249-259.
    10. Li, Xiao-Ming, 2017. "New evidence on economic policy uncertainty and equity premium," Pacific-Basin Finance Journal, Elsevier, vol. 46(PA), pages 41-56.
    11. Josef Lakonishok & Andrei Shleifer & Robert W. Vishny, 1992. "The Structure and Performance of the Money Management Industry," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(1992 Micr), pages 339-391.
    12. Dimitrios D. Thomakos & Michail S. Koubouros, 2011. "The Role of Realised Volatility in the Athens Stock Exchange," Multinational Finance Journal, Multinational Finance Journal, vol. 15(1-2), pages 87-124, March - J.
    13. Shaikh, Salman, 2013. "Investment Decisions by Analysts: A Case Study of KSE," MPRA Paper 53802, University Library of Munich, Germany.
    14. 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.
    15. Baron, Opher & Callen, Jeffrey L. & Segal, Dan, 2023. "Does the bullwhip matter economically? A cross-sectional firm-level analysis," International Journal of Production Economics, Elsevier, vol. 259(C).
    16. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    17. Chan, Kin Wai & Chang, Charles & Wang, Albert, 2009. "Put your money where your mouth is: Do financial firms follow their own recommendations?," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1095-1112, August.
    18. Anatolyev, Stanislav & Mikusheva, Anna, 2021. "Limit Theorems For Factor Models," Econometric Theory, Cambridge University Press, vol. 37(5), pages 1034-1074, October.
    19. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    20. Bakalli, Gaetan & Guerrier, Stéphane & Scaillet, Olivier, 2023. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Journal of Econometrics, Elsevier, vol. 237(2).

    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:gam:jjrfmx:v:16:y:2023:i:11:p:480-:d:1278709. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.