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It takes two to tango: Fundamental timing in stock market

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  • Guohao Tang
  • Fuwei Jiang
  • Xinlin Qi
  • Nan Huang

Abstract

In this paper, we propose a fundamental timing strategy in both U.S. and Chinese stock markets to timing the fundamentals sorted portfolios such as value and profitability portfolios in the time‐series dimension. We find that fundamental timing strategies based on moving average (MA) timing signals could generate substantial performance gains relative to buy‐and‐hold strategies. The annualized average return of fundamental timing strategies reaches about 37% with Sharpe ratio nearly 1.30. These findings are robust to Fama–French factor model adjustment, alternative lag lengths of MA signals, holding days, and transaction costs. Moreover, the fundamental timing premium cannot be explained away by market timing or business cycle, and fundamental timing is more profitable among firms with high idiosyncratic volatility and high illiquidity.

Suggested Citation

  • Guohao Tang & Fuwei Jiang & Xinlin Qi & Nan Huang, 2021. "It takes two to tango: Fundamental timing in stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5259-5277, October.
  • Handle: RePEc:wly:ijfiec:v:26:y:2021:i:4:p:5259-5277
    DOI: 10.1002/ijfe.2064
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    References listed on IDEAS

    as
    1. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    2. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    3. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
    4. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    5. 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.
    6. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-533, October.
    7. 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.
    8. Eugene F. Fama & Kenneth R. French, 2008. "Average Returns, B/M, and Share Issues," Journal of Finance, American Finance Association, vol. 63(6), pages 2971-2995, December.
    9. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
    10. Han, Yufeng & Zhou, Guofu & Zhu, Yingzi, 2016. "A trend factor: Any economic gains from using information over investment horizons?," Journal of Financial Economics, Elsevier, vol. 122(2), pages 352-375.
    11. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
    12. 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.
    13. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.
    14. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    15. Avramov, Doron & Chordia, Tarun & Jostova, Gergana & Philipov, Alexander, 2013. "Anomalies and financial distress," Journal of Financial Economics, Elsevier, vol. 108(1), pages 139-159.
    16. Balduzzi, Pierluigi & Lynch, Anthony W., 1999. "Transaction costs and predictability: some utility cost calculations," Journal of Financial Economics, Elsevier, vol. 52(1), pages 47-78, April.
    17. Yufeng Han, 2006. "Asset Allocation with a High Dimensional Latent Factor Stochastic Volatility Model," The Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 237-271.
    18. Jiang, Fuwei & Qi, Xinlin & Tang, Guohao, 2018. "Q-theory, mispricing, and profitability premium: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 135-149.
    19. Michael J. Cooper & Roberto C. Gutierrez & Allaudeen Hameed, 2004. "Market States and Momentum," Journal of Finance, American Finance Association, vol. 59(3), pages 1345-1365, June.
    20. Moskowitz, Tobias J. & Ooi, Yao Hua & Pedersen, Lasse Heje, 2012. "Time series momentum," Journal of Financial Economics, Elsevier, vol. 104(2), pages 228-250.
    21. Anthony W. Lynch & Pierluigi Balduzzi, 2000. "Predictability and Transaction Costs: The Impact on Rebalancing Rules and Behavior," Journal of Finance, American Finance Association, vol. 55(5), pages 2285-2309, October.
    22. 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.
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    Cited by:

    1. YuZhi Chen & Yi Fang & XinYue Li & Jian Wei, 2023. "A factor pricing model based on double moving average strategy," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    2. Tian Ma & Cunfei Liao & Fuwei Jiang, 2023. "Timing the factor zoo via deep learning: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 485-505, March.

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