IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v88y2023icp1500-1512.html

The value-growth premium in a time-varying risk return framework

Author

Listed:
  • Park, Keehwan
  • Jung, Mookwon
  • Fang, Zhongzheng

Abstract

In recent years, growth firms outperformed value firms, which led investors to doubt value strategy in their investments. Reworking the Euler equation shows that time-varying risk is responsible for the reverting risk-return relation from negativity contemporaneously to positivity with a time lag. The negative relation is due to the volatility feedback effect, while the positive relation is the risk premium effect. Because of the negative volatility feedback effect, growth firms outperform value firms, particularly in heightened stock market volatility, such as in the first year of the Covid-19 pandemic. However, we find value firms earn a higher average return than growth firms over long horizons.

Suggested Citation

  • Park, Keehwan & Jung, Mookwon & Fang, Zhongzheng, 2023. "The value-growth premium in a time-varying risk return framework," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1500-1512.
  • Handle: RePEc:eee:reveco:v:88:y:2023:i:c:p:1500-1512
    DOI: 10.1016/j.iref.2023.07.043
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056023002538
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2023.07.043?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

    for a different version of it.

    References listed on IDEAS

    as
    1. William F. Sharpe, 1963. "A Simplified Model for Portfolio Analysis," Management Science, INFORMS, vol. 9(2), pages 277-293, January.
    2. Pollet, Joshua M. & Wilson, Mungo, 2010. "Average correlation and stock market returns," Journal of Financial Economics, Elsevier, vol. 96(3), pages 364-380, June.
    3. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    4. Devpura, Neluka & Narayan, Paresh Kumar & Sharma, Susan Sunila, 2018. "Is stock return predictability time-varying?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 152-172.
    5. Ang, Andrew & Chen, Joseph, 2007. "CAPM over the long run: 1926-2001," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 1-40, January.
    6. Santos, Tano & Veronesi, Pietro, 2010. "Habit formation, the cross section of stock returns and the cash-flow risk puzzle," Journal of Financial Economics, Elsevier, vol. 98(2), pages 385-413, November.
    7. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    8. Petkova, Ralitsa & Zhang, Lu, 2005. "Is value riskier than growth?," Journal of Financial Economics, Elsevier, vol. 78(1), pages 187-202, October.
    9. Keehwan Park & Zhongzheng Fang, 2021. "Fractional non-diversifiable risk and stock market returns," Applied Economics, Taylor & Francis Journals, vol. 53(5), pages 575-594, January.
    10. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    11. Ai, Hengjie & Kiku, Dana, 2013. "Growth to value: Option exercise and the cross section of equity returns," Journal of Financial Economics, Elsevier, vol. 107(2), pages 325-349.
    12. Bianchi, Francesco, 2008. "Rare Events, Financial Crises, and the Cross-Section of Asset Returns," MPRA Paper 20831, University Library of Munich, Germany, revised 01 Jan 2010.
    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. Lu Zhang & Howard Kung & Hang Bai, 2013. ""Shooting" the CAPM," 2013 Meeting Papers 905, Society for Economic Dynamics.
    2. Barinov, Alexander, 2023. "Profitability anomaly and aggregate volatility risk," Journal of Financial Markets, Elsevier, vol. 64(C).
    3. Dou, Winston Wei & Ji, Yan & Wu, Wei, 2021. "Competition, profitability, and discount rates," Journal of Financial Economics, Elsevier, vol. 140(2), pages 582-620.
    4. Di Li & Erica X. N. Li, 2018. "Corporate Governance and Costs of Equity: Theory and Evidence," Management Science, INFORMS, vol. 64(1), pages 83-101, January.
    5. Jerry Tsai & Jessica A. Wachter, 2014. "Rare Booms and Disasters in a Multi-sector Endowment Economy," NBER Working Papers 20062, National Bureau of Economic Research, Inc.
    6. Turan G. Bali & Nusret Cakici & Yi Tang, 2009. "The Conditional Beta and the Cross‐Section of Expected Returns," Financial Management, Financial Management Association International, vol. 38(1), pages 103-137, March.
    7. 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.
    8. Arısoy, Yakup Eser & Altay-Salih, Aslıhan & Akdeniz, Levent, 2015. "Aggregate volatility expectations and threshold CAPM," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 231-253.
    9. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam & Dungey, Mardi, 2018. "Quantile relationships between standard, diffusion and jump betas across Japanese banks," Journal of Asian Economics, Elsevier, vol. 59(C), pages 29-47.
    10. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    11. repec:gnv:wpaper:unige:76321 is not listed on IDEAS
    12. Guo, Hui & Savickas, Robert & Wang, Zijun & Yang, Jian, 2009. "Is the Value Premium a Proxy for Time-Varying Investment Opportunities? Some Time-Series Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 133-154, February.
    13. Wallmeier, Martin & Tauscher, Kathrin, 2012. "A Note on the Impact of Portfolio Overlapping in Tests of the Fama and French Three-Factor Model," FSES Working Papers 433, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    14. Byoung‐Kyu Min & Jangkoo Kang & Changjun Lee & Tai‐Yong Roh, 2020. "The q‐Factors and Macroeconomic Conditions: Asymmetric Effects of the Business Cycles on Long and Short Sides," International Review of Finance, International Review of Finance Ltd., vol. 20(4), pages 897-921, December.
    15. de Oliveira Souza, Thiago, 2020. "Observable implications of the conditional CAPM," Discussion Papers on Economics 13/2020, University of Southern Denmark, Department of Economics.
    16. Soosung Hwang & Youngha Cho & Jinho Shin, 2017. "Does illiquidity matter in residential properties?," Applied Economics, Taylor & Francis Journals, vol. 49(1), pages 1-20, January.
    17. Roussanov, Nikolai, 2014. "Composition of wealth, conditioning information, and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 111(2), pages 352-380.
    18. Juhani T. Linnainmaa & Michael R. Roberts, 2016. "The History of the Cross Section of Stock Returns," NBER Working Papers 22894, National Bureau of Economic Research, Inc.
    19. Xin Chen & Wei He & Libin Tao & Jianfeng Yu, 2023. "Attention and Underreaction-Related Anomalies," Management Science, INFORMS, vol. 69(1), pages 636-659, January.
    20. Ang, Andrew & Kristensen, Dennis, 2012. "Testing conditional factor models," Journal of Financial Economics, Elsevier, vol. 106(1), pages 132-156.
    21. Peress, Joël & Dong, Xi & KANG, NAMHO, 2020. "Fast and Slow Arbitrage: Fund Flows and Mispricing in the Frequency Domain," CEPR Discussion Papers 15235, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    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:reveco:v:88:y:2023:i:c:p:1500-1512. 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/inca/620165 .

    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.