IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v69y2021ics0927538x21001542.html
   My bibliography  Save this article

Digesting anomalies: A q-factor approach for the Thai market

Author

Listed:
  • Charoenwong, Ben
  • Nettayanun, Sampan
  • Saengchote, Kanis

Abstract

We study the extent to which a q-factor approach explains other cross-sectional factor returns in the Thai market from 2000 to 2019. Univariate statistics of the q-factor premia show that the Thai factors have almost double the statistical and economic significance compared to US factors. While the q-factor model and the Fama-French six-factor model have similar performances in the US, they do not in Thailand. We find that the q-factor model reduces the t-statistics of the alphas for 13 out of 15 anomalies when compared to the six-factor model. Our findings suggest that the q-factor model is a better empirical asset pricing model in Thailand, showing external validity of the model even in an emerging market.

Suggested Citation

  • Charoenwong, Ben & Nettayanun, Sampan & Saengchote, Kanis, 2021. "Digesting anomalies: A q-factor approach for the Thai market," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:pacfin:v:69:y:2021:i:c:s0927538x21001542
    DOI: 10.1016/j.pacfin.2021.101647
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X21001542
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.pacfin.2021.101647?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. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    2. 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.
    3. Kanis Saengchote, 2017. "The Low-Risk Anomaly: Evidence from the Thai Stock Market," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 13(1), pages 143-158.
    4. Fama, Eugene F. & French, Kenneth R., 2012. "Size, value, and momentum in international stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 457-472.
    5. Paul Calluzzo & Fabio Moneta & Selim Topaloglu, 2019. "When Anomalies Are Publicized Broadly, Do Institutions Trade Accordingly?," Management Science, INFORMS, vol. 65(10), pages 4555-4574, October.
    6. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    7. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    8. 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.
    9. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    10. 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.
    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. Mbengue, Mohamed Lamine & Ndiaye, Bara & Sy, Oumar, 2023. "Which factors explain African stock returns?," Finance Research Letters, Elsevier, vol. 54(C).
    2. Nettayanun, Sampan, 2023. "Asset pricing in bull and bear markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(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. Hollstein, Fabian, 2022. "The world of anomalies: Smaller than we think?," Journal of International Money and Finance, Elsevier, vol. 129(C).
    2. Long, Huaigang & Zaremba, Adam & Zhou, Wenyu & Bouri, Elie, 2022. "Macroeconomics matter: Leading economic indicators and the cross-section of global stock returns," Journal of Financial Markets, Elsevier, vol. 61(C).
    3. Cederburg, Scott & O’Doherty, Michael S. & Wang, Feifei & Yan, Xuemin (Sterling), 2020. "On the performance of volatility-managed portfolios," Journal of Financial Economics, Elsevier, vol. 138(1), pages 95-117.
    4. Pätäri, Eero & Karell, Ville & Luukka, Pasi & Yeomans, Julian S, 2018. "Comparison of the multicriteria decision-making methods for equity portfolio selection: The U.S. evidence," European Journal of Operational Research, Elsevier, vol. 265(2), pages 655-672.
    5. Fama, Eugene F. & French, Kenneth R., 2018. "Choosing factors," Journal of Financial Economics, Elsevier, vol. 128(2), pages 234-252.
    6. Huber, Daniel & Jacobs, Heiko & Müller, Sebastian & Preissler, Fabian, 2023. "International factor models," Journal of Banking & Finance, Elsevier, vol. 150(C).
    7. Sebastien Valeyre, 2020. "Refined model of the covariance/correlation matrix between securities," Papers 2001.08911, arXiv.org.
    8. Kewei Hou & Chen Xue & Lu Zhang, 2017. "Replicating Anomalies," NBER Working Papers 23394, National Bureau of Economic Research, Inc.
    9. Güler ARAS & İlhan ÇAM & Bilal ZAVALSIZ & Serkan KESKİN, 2018. "Fama-French Çok Faktör Varlık Fiyatlama Modellerinin Performanslarının Karşılaştırılması: Borsa İstanbul Üzerine Bir Uygulama," Istanbul Business Research, Istanbul University Business School, vol. 47(2), pages 183-207, November.
    10. Söhnke M. Bartram & Harald Lohre & Peter F. Pope & Ananthalakshmi Ranganathan, 2021. "Navigating the factor zoo around the world: an institutional investor perspective," Journal of Business Economics, Springer, vol. 91(5), pages 655-703, July.
    11. Blitz, David & Hanauer, Matthias X. & Vidojevic, Milan, 2020. "The idiosyncratic momentum anomaly," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 932-957.
    12. Stereńczak, Szymon & Zaremba, Adam & Umar, Zaghum, 2020. "Is there an illiquidity premium in frontier markets?," Emerging Markets Review, Elsevier, vol. 42(C).
    13. Alonso Conde, Ana B. & Rojo Suárez, Javier, 2022. "Trends in the explanatory power of factor-based asset pricing models in determining the cost of capital," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    14. Jacobs, Heiko & Müller, Sebastian, 2020. "Anomalies across the globe: Once public, no longer existent?," Journal of Financial Economics, Elsevier, vol. 135(1), pages 213-230.
    15. 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.
    16. Mbengue, Mohamed Lamine & Ndiaye, Bara & Sy, Oumar, 2023. "Which factors explain African stock returns?," Finance Research Letters, Elsevier, vol. 54(C).
    17. Asness, Clifford & Frazzini, Andrea & Israel, Ronen & Moskowitz, Tobias J. & Pedersen, Lasse H., 2018. "Size matters, if you control your junk," Journal of Financial Economics, Elsevier, vol. 129(3), pages 479-509.
    18. Foye, James & Valentinčič, Aljoša, 2020. "Testing factor models in Indonesia," Emerging Markets Review, Elsevier, vol. 42(C).
    19. Snigaroff, Robert & Wroblewski, David, 2021. "Earnings and liquidity factors," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 508-523.
    20. Zaremba, Adam & Karathanasopoulos, Andreas & Maydybura, Alina & Czapkiewicz, Anna & Bagheri, Noushin, 2020. "Dissecting anomalies in Islamic stocks: Integrated or segmented pricing?," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).

    More about this item

    Keywords

    Factor investing; Q-factor; Empirical asset pricing;
    All these keywords.

    JEL classification:

    • 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

    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:pacfin:v:69:y:2021:i:c:s0927538x21001542. 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/pacfin .

    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.