IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v46y2022ipbs1544612321003949.html
   My bibliography  Save this article

Asset pricing models in emerging markets: Factorial approaches vs. information stochastic discount factor

Author

Listed:
  • González-Sánchez, Mariano

Abstract

The factorial asset pricing models generally performs poorly in emerging markets. This prediction bias implies anomalies. This study analyzes whether it is consequence of ignoring other source of risk. We apply a non-parametric approach (stochastic discount factor) to improve the forecasts of the usual factorial models. For a sample of 26 emerging equity markets, we find that the information portfolio built from the stochastic discount factor shows better goodness of fit of emerging market and, only the factor that accounts value stocks versus growth stocks is relevant to emerging equity markets, specifically, it is a sensitivity measure at risk.

Suggested Citation

  • González-Sánchez, Mariano, 2022. "Asset pricing models in emerging markets: Factorial approaches vs. information stochastic discount factor," Finance Research Letters, Elsevier, vol. 46(PB).
    • Handle: RePEc:eee:finlet:v:46:y:2022:i:pb:s1544612321003949
    DOI: 10.1016/j.frl.2021.102394
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612321003949
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2021.102394?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. Stereńczak, Szymon & Zaremba, Adam & Umar, Zaghum, 2020. "Is there an illiquidity premium in frontier markets?," Emerging Markets Review, Elsevier, vol. 42(C).
    2. Nartea, Gilbert V. & Kong, Dongmin & Wu, Ji, 2017. "Do extreme returns matter in emerging markets? Evidence from the Chinese stock market," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 189-197.
    3. Harvey, Campbell R, 1995. "Predictable Risk and Returns in Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 773-816.
    4. Foye, James, 2018. "A comprehensive test of the Fama-French five-factor model in emerging markets," Emerging Markets Review, Elsevier, vol. 37(C), pages 199-222.
    5. Iqbal, Javed & Brooks, Robert & Galagedera, Don U.A., 2010. "Testing conditional asset pricing models: An emerging market perspective," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 897-918, September.
    6. Anisha Ghosh & Christian Julliard & Alex P. Taylor, 2017. "What Is the Consumption-CAPM Missing? An Information-Theoretic Framework for the Analysis of Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 30(2), pages 442-504.
    7. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    8. Lin, Yu En & Chu, Chien Chi & Omura, Akihiro & Li, Bin & Roca, Eduardo, 2020. "Arbitrage risk and the cross-section of stock returns: Evidence from China," Emerging Markets Review, Elsevier, vol. 43(C).
    9. Md Safiullah & Abul Shamsuddin, 2021. "Asset pricing factors in Islamic equity returns," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 523-554, June.
    10. Leite, André Luis & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & da Silva, Aldo Ferreira, 2018. "Size, value, profitability, and investment: Evidence from emerging markets," Emerging Markets Review, Elsevier, vol. 36(C), pages 45-59.
    11. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    12. Teplova, Tamara & Tomtosov, Aleksandr, 2021. "Can high trading volume and volatility switch boost momentum to show greater inefficiency and avoid crashes in emerging markets? The economic relationship in factor investing in emerging markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 210-223.
    13. Butt, Hilal Anwar & Kolari, James W. & Sadaqat, Mohsin, 2021. "Revisiting momentum profits in emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    14. Stocker, Marshall L., 2016. "The price of freedom: A Fama–French freedom factor," Emerging Markets Review, Elsevier, vol. 26(C), pages 1-19.
    15. Cakici, Nusret & Fabozzi, Frank J. & Tan, Sinan, 2013. "Size, value, and momentum in emerging market stock returns," Emerging Markets Review, Elsevier, vol. 16(C), pages 46-65.
    16. 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.
    17. Lin, Qi, 2017. "Noisy prices and the Fama–French five-factor asset pricing model in China," Emerging Markets Review, Elsevier, vol. 31(C), pages 141-163.
    18. Hanauer, Matthias X. & Lauterbach, Jochim G., 2019. "The cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 38(C), pages 265-286.
    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. Figlioli, Bruno & Lima, Fabiano Guasti, 2019. "Stock pricing in Latin America: The synchronicity effect," Emerging Markets Review, Elsevier, vol. 39(C), pages 1-17.
    2. Mosoeu, Selebogo & Kodongo, Odongo, 2022. "The Fama-French five-factor model and emerging market equity returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 55-76.
    3. Foye, James, 2018. "A comprehensive test of the Fama-French five-factor model in emerging markets," Emerging Markets Review, Elsevier, vol. 37(C), pages 199-222.
    4. Tong Fang & Zhi Su & Libo Yin, 2021. "Does the green inspiration effect matter for stock returns? Evidence from the Chinese stock market," Empirical Economics, Springer, vol. 60(5), pages 2155-2176, May.
    5. Foye, James & Valentinčič, Aljoša, 2020. "Testing factor models in Indonesia," Emerging Markets Review, Elsevier, vol. 42(C).
    6. Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
    7. Mbengue, Mohamed Lamine & Ndiaye, Bara & Sy, Oumar, 2023. "Which factors explain African stock returns?," Finance Research Letters, Elsevier, vol. 54(C).
    8. Tarunika Jain Agrawal & Sanjay Sehgal & Vibhuti Vasishth, 2020. "Firm Attributes, Corporate Fundamentals and Investment Strategies: An Empirical Study for Indian Stock Market," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(3), pages 366-387, August.
    9. Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2021. "Anomalies in the China A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    10. José Clemente Jacinto Ferreira & Ana Paula Matias Gama & Luiz Paulo Fávero & Ricardo Goulart Serra & Patrícia Belfiore & Igor Pinheiro de Araújo Costa & Marcos dos Santos, 2022. "Economic Performance and Stock Market Integration in BRICS and G7 Countries: An Application with Quantile Panel Data and Random Coefficients Modeling," Mathematics, MDPI, vol. 10(21), pages 1-35, October.
    11. Asgar Ali & K. N. Badhani, 2021. "Beta-Anomaly: Evidence from the Indian Equity Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 55-78, March.
    12. Stereńczak, Szymon & Zaremba, Adam & Umar, Zaghum, 2020. "Is there an illiquidity premium in frontier markets?," Emerging Markets Review, Elsevier, vol. 42(C).
    13. 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.
    14. Umutlu, Mehmet & Akdeniz, Levent & Altay-Salih, Aslihan, 2010. "The degree of financial liberalization and aggregated stock-return volatility in emerging markets," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 509-521, March.
    15. Ahmed, Walid M.A., 2020. "Corruption and equity market performance: International comparative evidence," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    16. Lin, Qi, 2022. "Understanding idiosyncratic momentum in the Chinese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    17. Hanauer, Matthias X. & Lauterbach, Jochim G., 2019. "The cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 38(C), pages 265-286.
    18. Sudipta Das, 2019. "Asset Pricing Test Using Alternative Sets of Portfolios: Evidence from India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(3), pages 339-354, September.
    19. Zaremba, Adam & Czapkiewicz, Anna, 2017. "The cross section of international government bond returns," Economic Modelling, Elsevier, vol. 66(C), pages 171-183.
    20. Ana Paula Serra, 2003. "The Cross-Sectional Determinants of Returns: Evidence from Emerging Markets' Stocks," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 2(2), pages 123-162, May.

    More about this item

    Keywords

    Asset pricing; Stochastic discount factor; Emerging equity markets; Fama–French factors model;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:eee:finlet:v:46:y:2022:i:pb:s1544612321003949. 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/frl .

    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.