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Which is Better: Value Strategy or Growth Strategy?

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Purpose: On the backdrop of the recent value versus growth debate in both academics and investment community, this paper investigates which is a better strategy, value or growth strategy. Design/methodology/approach: Reworking the Euler equation, this paper derives the relationship among return, profit growth, and risk. We use three different risk metrics proposed by Park and Fang (2021). We regress the value minus growth return on profit growth and risk variables to determine which is the primary driver of the return in the Korean stock market. The data run from 2000 through 2021. Findings: Our data show that the accumulated return on value minus growth stocks steadily increases over 2000- 2012 in Korea, indicating that value stocks outperform growth stocks over the long horizon. Our regression results show that the time-varying risk effect reverts from negativity contemporaneously to positivity with a time lag, and its temporal effect is negligible when aggregated in time. There exists a positive long-run risk effect on the value minus growth return. However, the effect of profit growth on return is not significant, indicating that growth firms’ profit prospect is not a factor in the determination of value minus growth return. Research limitations/implications: In the past, stock market uncertainty (risk) have been most caused by either financial system failures or technological innovations. Whether value stocks outperform growth stocks or vice versa may crucially depends on the causes of stock market uncertainty. We need to refine our model to account for the differences in the causes of stock market uncertainty. Originality/value: Our model is a first attempt to combine profit growth and risk in a unifying framework to explain the value and growth spread in the stock market. The conditional CAPM is a risk-based approach in which profit growth is not accounted for.

Abstract

Purpose: On the backdrop of the recent value versus growth debate in both academics and investment community, this paper investigates which is a better strategy, value or growth strategy. Design/methodology/approach: Reworking the Euler equation, this paper derives the relationship among return, profit growth, and risk. We use three different risk metrics proposed by Park and Fang (2021). We regress the value minus growth return on profit growth and risk variables to determine which is the primary driver of the return in the Korean stock market. The data run from 2000 through 2021. Findings: Our data show that the accumulated return on value minus growth stocks steadily increases over 2000- 2012 in Korea, indicating that value stocks outperform growth stocks over the long horizon. Our regression results show that the time-varying risk effect reverts from negativity contemporaneously to positivity with a time lag, and its temporal effect is negligible when aggregated in time. There exists a positive long-run risk effect on the value minus growth return. However, the effect of profit growth on return is not significant, indicating that growth firms’ profit prospect is not a factor in the determination of value minus growth return. Research limitations/implications: In the past, stock market uncertainty (risk) have been most caused by either financial system failures or technological innovations. Whether value stocks outperform growth stocks or vice versa may crucially depends on the causes of stock market uncertainty. We need to refine our model to account for the differences in the causes of stock market uncertainty. Originality/value: Our model is a first attempt to combine profit growth and risk in a unifying framework to explain the value and growth spread in the stock market. The conditional CAPM is a risk-based approach in which profit growth is not accounted for.

참고문헌 (21)

  1. Expected Stock Returns and the Correlation Risk Premium, "Adrian, B.", CEPR, ~, pp.CEPR Discussion Paper No. 12760 (2018)
  2. Ai, H., "Growth to value: Option exercise, and the cross section of equity returns", Journal of Financial Economics, 107, pp.325~349 (2013)
  3. Ang, A., "CAPM over the long run : 1926-2001", Journal of Empirical Finance, 14, pp.1~40 (2007)
  4. Asness, C. S., "Style timing: Value versus growth", Journal of Portfolio Management, pp.50~60 (2000)
  5. Bai, H., "The CAPM strikes back? An equilibrium model with disasters", Journal of Financial Economics, 131, pp.269~298 (2019)
  6. Blitz, D., "Resurrecting the Value Premium", Journal of Portfolio Management Quantitative Special Issue, 47, pp.63~81 (2021)
  7. Capaul, C., "International Value and Growth Stock Returns", Financial Analysts Journal, 50, pp.27~36 (1993)
  8. Chen, H. J., "Do Cash Flows of Growth Stocks Really Grow Faster", Journal of Finance, 72, pp.2279~2330 (2017)
  9. Cochrane, J. H., "Asset Pricing: Revised Edition" (2020), Princeton University Press
  10. Elton, E. J., "Risk Reduction, and Portfolio Size : An Analytical Solution", Journal of Business, 4, pp.415~437 (1977)
  11. Engle, R. F., "Estimating Time Varying Risk Premia in the Term Structure : The GARCH-M Model", Econometrica, 55, pp.391~407 (1987)
  12. Fama, E. F., "The cross-section of expected stock returns", Journal of Finance, 47, pp.427~465 (1992)
  13. Fama, E. F., "Multifactor explanations of asset pricing anomalies", Journal of Finance, 51, pp.55~84 (1996)
  14. Israel, R., "Is(Systematic)Value Investing Dead", Journal of Portfolio Management Quantitative Special Issue, 47, pp.38~62 (2021)
  15. Park, K. H., "Fractional non-diversifiable risk and stock market returns", Applied Economics, 53, pp.575~594 (2021)
  16. "Does value strategy still work?" (2021)[URL]
  17. Pastor, L., "Technological revolutions and stock prices", American Economic Review, 99, pp.1451~1488 (2009)
  18. Petcova, R., "Is value riskier than growth?", Journal of Financial Economics, 78, pp.187~202 (2005)
  19. Pollet, J. M., "Average Correlation and Stock Market Returns", Journal of Financial Economics, 96, pp.364~380 (2010)
  20. Song, Y. C., "The effects of size and book-to-market ratio on the cross sectional returns", Asia-Pacific Journal of Financial Studies, 24, pp.83~103 (1999)
  21. Tobek, O., "Does it pay to follow anomalies research? Machine learning approach with international evidence", Journal of Financial Markets, 56, pp.100588~ (2021)

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