Capital age and the cross-section of Chinese stock returns
DOI:
https://doi.org/10.54097/nscszr17Keywords:
Capital age; Cross-section of stock returns; Return predictability; Chinese stock market; Fama-MacBeth regression.Abstract
This paper investigates the impact of capital age on the cross-section of stock returns in the Chinese stock market. Based on portfolio sorting and Fama‑MacBeth regressions, we find a significant premium for stocks with low capital age, with monthly risk‑adjusted returns that are 0.42%-0.49% higher than those of stocks with high capital age. Mechanism analysis shows that capital age affects expected stock returns through its influence on firms’ investment efficiency and their ability to cope with technology shocks. The premium remains statistically significant after controlling for a comprehensive set of common risk factors and is robust across different weighting schemes and sample selection criteria. Our findings confirm that capital age can serve as a reliable incremental predictor of expected returns in the Chinese stock market.
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References
[1] Boucekkine, R., Germain, M., Licandro, O., & Magnus, A. (1998). Creative destruction, investment volatility, and the average age of capital. Journal of Economic Growth, 3(4), 361–384.
[2] Whelan, K. (2007). Embodiment, productivity, and the age distribution of capital. Journal of Macroeconomics, 29(4), 724–740.
[3] Lin, X., Palazzo, B., & Yang, F. (2020). The risks of old capital age: Asset pricing implications of technology adoption. Journal of Monetary Economics, 115, 145–161.
[4] Li, K., Tsou, C.-Y., & Xu, C. (2023). Learning and the capital age premium. Journal of Monetary Economics, 136, 76–90.
[5] Salvanes, K. G., & Tveteras, R. (2004). Plant exit, vintage capital and the business cycle. The Journal of Industrial Economics, 52(2), 255–276.
[6] Guo, S., Yuan, Y., & Ma, F. (2022). Cross-sectional seasonalities and seasonal reversals: Evidence from China. International Review of Financial Analysis, 82, 102162.
[7] Zhang, Y., Ma, F., & Zhu, B. (2019). Intraday momentum and stock return predictability: Evidence from China. Economic Modelling, 76, 319–329.
[8] Zhou, H., & Lu, X. (2023). Investor attention on the Russia-Ukraine conflict and stock market volatility: Evidence from China. Finance Research Letters, 52, 103526.
[9] Acemoglu, D., & Guerrieri, V. (2008). Capital deepening and nonbalanced economic growth. Journal of political Economy, 116(3), 467–498.
[10] Bai, J., Barwick, P. J., Cao, S., & Li, S. (2025). Quid pro quo, knowledge spillovers, and industrial quality upgrading: Evidence from the Chinese auto industry. American economic review, 115(11), 3825–3852.
[11] Chow, G. C. (1993). Capital formation and economic growth in China. The quarterly journal of economics, 108(3), 809–842.
[12] Hall, R. E., & Jones, C. I. (1999). Why do some countries produce so much more output per worker than others? The quarterly journal of economics,114(1), 83–116.
[13] Long, Z., & Herrera, R. (2016). Building original series of physical capital stocks for China's economy methodological problems, proposals for solutions and a new database. China Economic Review, 40, 33–53.
[14] Zhang, Y., He, M., Liao, C., & Wang, Y. (2023). Climate risk exposure and the cross-section of Chinese stock returns. Finance Research Letters, 55, 103987.
[15] Zhang, Y., Song, B., He, M., & Wang, Y. (2024a). Abnormal temperature and the cross-section of stock returns in China. International Review of Financial Analysis, 94, 103274.
[16] Zhang, Y., Zhang, Y., Ren, X., & Jin, M. (2024b). Geopolitical risk exposure and stock returns: evidence from China. Finance Research Letters, 64, 105479.
[17] Newey, W. K., & West, K. D. (1986). A simple, positive semi-definite, heteroskedasticity and autocorrelationconsistent covariance matrix.
[18] Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of financial economics, 33(1), 3–56.
[19] Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of financial economics, 116(1), 1–22.
[20] Liu, J., Stambaugh, R. F., & Yuan, Y. (2019). Size and value in China. Journal of financial economics, 134(1), 48–69.
[21] Chen, Z., Da, Z., Huang, D., & Wang, L. (2023). Presidential economic approval rating and the cross-section of stock returns. Journal of financial economics, 147(1), 106–131.
[22] Geelen, T., Hajda, J., Morellec, E., & Winegar, A. (2024). Asset life, leverage, and debt maturity matching. Journal of Financial Economics, 154, 103796.
[23] Allen, F., Qian, J., & Qian, M. (2005). Law, finance, and economic growth in China. Journal of financial economics, 77(1), 57–116.
[24] Brandt, L., & Zhu, X. (2010). Accounting for China's growth.
[25] Ding, Z., Qi, J., Tang, Y., & Zhao, X. (2025). Unveiling low productivity premium: A tale from emerging market. International Review of Economics & Finance, 104399.
[26] İmrohoroğlu, A., & Tüzel, Ş. (2014). Firm-level productivity, risk, and return. Management Science, 60(8), 2073–2090.
[27] Epstein, L. G., & Schneider, M. (2008). Ambiguity, information quality, and asset pricing. The Journal of Finance, 63(1), 197–228.
[28] Zhang, X. F. (2006). Information uncertainty and stock returns. The Journal of Finance, 61(1), 105–137.
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