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Revisiting the performance of the scaled momentum strategies

Author

Listed:
  • Hilal Anwar Butt
  • Mohsin Sadaqat
  • Muhammad Tahir

Abstract

Purpose - The main purpose of this study is to enunciate the underlying factors that enhance the performance of scaled momentum strategies. Design/methodology/approach - In previous studies, the negative relationship between the lagged volatility and future return of momentum strategy is exploited to manage the risk. But this negative relationship only holds when volatility is higher, further the volatility is shown to be persistent. The implication of these two characteristics is important and this paper highlights that. Findings - The higher performance of the scaled momentum strategies for the US market is linked with the length of the investment horizon. The traditional asset pricing models fail to explain this relationship. However, the authors find that the excess variance loaded on the long side of these strategies is one important explanation of this horizon bound performance of these strategies. Practical implications - This study highlights that the volatility scaled momentum strategy has higher gains as the investment horizon increases. Therefore, it is an advisable investment strategy for the pension fund industry. Originality/value - Momentum strategy is unique as it fulfils two criteria of performance enhancement through volatility scaling, such as, the persistent in volatility and its negative relationship with the returns. However, the impact on the performance of the negative relationship between volatility and return that only exist in highest volatility related states is not discussed. The authors have shown that this aspect of volatility and return relationship of the momentum strategy has an important bearing on the performance of the volatility scaled momentum strategies. - Highlights of the PaperThis study finds that the Sharpe ratios and the alphas of the volatility scaled strategies increase as the investment horizon increases.This is because the volatility series are highly persistent and the negative predictive relationship between the volatility and future momentum returns only exist when the volatility is higher. The impact of these two characteristics of the volatility series on the performance of the scaled momentum strategies is not discussed in the literature.We find that the scaled strategies invest more/less when the volatility of the momentum strategy is lower/higher. By investing less when volatility is higher, the scaled strategies avoid momentum crashes and lessens the contribution of the variance from the short side in the overall variance of these strategies.It is further shown that the higher performance of the volatility scaled strategies, at each investment related horizon can be explained by the higher variance loaded on the long side of such strategies in comparison to the traditional momentum strategy.

Suggested Citation

  • Hilal Anwar Butt & Mohsin Sadaqat & Muhammad Tahir, 2022. "Revisiting the performance of the scaled momentum strategies," China Finance Review International, Emerald Group Publishing Limited, vol. 12(3), pages 519-539, January.
  • Handle: RePEc:eme:cfripp:cfri-06-2021-0103
    DOI: 10.1108/CFRI-06-2021-0103
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    Citations

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    Cited by:

    1. Sadaqat, Mohsin & Butt, Hilal Anwar, 2023. "Stop-loss rules and momentum payoffs in cryptocurrencies," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).

    More about this item

    Keywords

    Performance; Scaled momentum strategies; Volatility; Investment horizon; Persistence; G10; G12; G15;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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