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A four-factor model based on factor momentum

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  • Cui, Mengqi
  • Li, Daye

Abstract

By focusing on the momentum effect in China, we introduce a novel four-factor model grounded by factor momentum. We address this by progressively exploring three key questions. Firstly, we identify a significant momentum premium. In contrast to the US, where momentum forms over a period of 2–12 months, the formation period for momentum in China spans 7–12 months. Moreover, among various momentum factors, factor momentum stands out as the most significant, effectively explaining stock momentum, industry momentum, and regional momentum, whereas the reverse is not true. Secondly, we find that there exists a notable orthogonality between factor momentum and non-momentum factors in China, implying that factor momentum can hardly be explained by non-factor momentum, and vice versa. Thirdly, leveraging this orthogonality, we establish a four-factor model. Expanding upon the MKT and SMB factors, the model additionally includes a mispricing factor and a momentum factor. GRS tests demonstrate that this model outperforms traditional Fama-French three-factor model, Carhart four-factor model, Q-4 factor model, and the three-factor model proposed by Liu et al. (2019).

Suggested Citation

  • Cui, Mengqi & Li, Daye, 2024. "A four-factor model based on factor momentum," Pacific-Basin Finance Journal, Elsevier, vol. 87(C).
    • Handle: RePEc:eee:pacfin:v:87:y:2024:i:c:s0927538x24002634
    DOI: 10.1016/j.pacfin.2024.102511
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    1. Nijman, Theo & Swinkels, Laurens & Verbeek, Marno, 2004. "Do countries or industries explain momentum in Europe?," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 461-481, September.
    2. Yue, Tian & Li, Tianjiao & Ruan, Xinfeng, 2023. "Does short-term momentum exist in China?," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    3. Xi Dong & Yan Li & David E. Rapach & Guofu Zhou, 2022. "Anomalies and the Expected Market Return," Journal of Finance, American Finance Association, vol. 77(1), pages 639-681, February.
    4. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    5. Richardson, Scott A. & Sloan, Richard G. & Soliman, Mark T. & Tuna, Irem, 2005. "Accrual reliability, earnings persistence and stock prices," Journal of Accounting and Economics, Elsevier, vol. 39(3), pages 437-485, September.
    6. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    7. Re‐Jin Guo & Baruch Lev & Charles Shi, 2006. "Explaining the Short‐ and Long‐Term IPO Anomalies in the US by R&D," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(3‐4), pages 550-579, April.
    8. Zaremba, Adam & Shemer, Jacob, 2018. "Is there momentum in factor premia? Evidence from international equity markets," Research in International Business and Finance, Elsevier, vol. 46(C), pages 120-130.
    9. Palazzo, Berardino, 2012. "Cash holdings, risk, and expected returns," Journal of Financial Economics, Elsevier, vol. 104(1), pages 162-185.
    10. Christopher A Parsons & Riccardo Sabbatucci & Sheridan Titman, 2020. "Geographic Lead-Lag Effects," The Review of Financial Studies, Society for Financial Studies, vol. 33(10), pages 4721-4770.
    11. Lim, Bryan Y. & Wang, Jiaguo (George) & Yao, Yaqiong, 2018. "Time-series momentum in nearly 100 years of stock returns," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 283-296.
    12. Kozak, Serhiy & Nagel, Stefan & Santosh, Shrihari, 2020. "Shrinking the cross-section," Journal of Financial Economics, Elsevier, vol. 135(2), pages 271-292.
    13. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    14. Andy C.W. Chui & Sheridan Titman & K.C. John Wei, 2010. "Individualism and Momentum around the World," Journal of Finance, American Finance Association, vol. 65(1), pages 361-392, February.
    15. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
    16. 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.
    17. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    18. 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.
    19. Jeffrey Pontiff & Artemiza Woodgate, 2008. "Share Issuance and Cross‐sectional Returns," Journal of Finance, American Finance Association, vol. 63(2), pages 921-945, April.
    20. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    21. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    22. Kewei Hou, 2007. "Industry Information Diffusion and the Lead-lag Effect in Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1113-1138.
    23. Hou, Kewei & Qiao, Fang & Zhang, Xiaoyan, 2023. "Finding Anomalies in China," Working Paper Series 2023-02, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    24. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    25. Chordia, Tarun & Subrahmanyam, Avanidhar & Anshuman, V. Ravi, 2001. "Trading activity and expected stock returns," Journal of Financial Economics, Elsevier, vol. 59(1), pages 3-32, January.
    26. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Finance, European Finance Association, vol. 33(5), pages 2223-2273.
    27. Balakrishnan, Karthik & Bartov, Eli & Faurel, Lucile, 2010. "Post loss/profit announcement drift," Journal of Accounting and Economics, Elsevier, vol. 50(1), pages 20-41, May.
    28. Narasimhan Jegadeesh, 2002. "Cross-Sectional and Time-Series Determinants of Momentum Returns," The Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 143-157, March.
    29. Sina Ehsani & Juhani T. Linnainmaa, 2022. "Factor Momentum and the Momentum Factor," Journal of Finance, American Finance Association, vol. 77(3), pages 1877-1919, June.
    30. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    31. Kang, Joseph & Liu, Ming-Hua & Ni, Sophie Xiaoyan, 2002. "Contrarian and momentum strategies in the China stock market: 1993-2000," Pacific-Basin Finance Journal, Elsevier, vol. 10(3), pages 243-265, June.
    32. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    33. Rachev, Svetlozar & Jasic, Teo & Stoyanov, Stoyan & Fabozzi, Frank J., 2007. "Momentum strategies based on reward-risk stock selection criteria," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2325-2346, August.
    34. 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.
    35. Minyou Fan & Youwei Li & Ming Liao & Jiadong Liu, 2022. "A reexamination of factor momentum: How strong is it?," The Financial Review, Eastern Finance Association, vol. 57(3), pages 585-615, August.
    36. Gang, Jianhua & Qian, Zongxin & Xu, Tiange, 2019. "Investment horizons, cash flow news, and the profitability of momentum and reversal strategies in the Chinese stock market," Economic Modelling, Elsevier, vol. 83(C), pages 364-371.
    37. Liu, Weimin, 2006. "A liquidity-augmented capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 82(3), pages 631-671, December.
    38. Gao, Ya & Guo, Bin & Xiong, Xiong, 2021. "Signed momentum in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    39. Novy-Marx, Robert, 2012. "Is momentum really momentum?," Journal of Financial Economics, Elsevier, vol. 103(3), pages 429-453.
    40. Re-Jin Guo & Baruch Lev & Charles Shi, 2006. "Explaining the Short- and Long-Term IPO Anomalies in the US by R&D," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(3-4), pages 550-579.
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