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A portfolio strategy of stock market based on mean-MF-X-DMA model

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  • Wang, Feng
  • Ye, Xin
  • Chen, HongTao
  • Wu, Congxin

Abstract

In this study, the multifractal detrended moving-average cross-correlation analysis (MF-X-DMA) is combined with the Mean-Semi-Variance model to establish a Mean-MF-X-DMA model. This model is used to construct portfolio strategies by the stocks with the larger market value in each sector of the Standard and Poor's 500 Index (S&P 500). The empirical test shows that: firstly, there are long memory and obvious multifractal characteristics in each stock returns; secondly, the portfolio strategy based on Mean-MF-X-DMA model performs better than the traditional portfolio model, such as returns, Sharpe ratio, βcoefficient and utility for different risk preference investors; finally, the risk will be lower when the time scale is smaller under the same expected returns.

Suggested Citation

  • Wang, Feng & Ye, Xin & Chen, HongTao & Wu, Congxin, 2021. "A portfolio strategy of stock market based on mean-MF-X-DMA model," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:chsofr:v:143:y:2021:i:c:s0960077920310365
    DOI: 10.1016/j.chaos.2020.110645
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    2. Ruan, Qingsong & Meng, Lu & Lv, Dayong, 2021. "Effect of introducing Bitcoin futures on the underlying Bitcoin market efficiency: A multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).

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