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The evolvement of momentum effects in China: Evidence from functional data analysis

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  • Li, Bo
  • Liu, Zhenya
  • Teka, Hanen
  • Wang, Shixuan

Abstract

Using an approach based on functional data analysis, we address the controversy that momentum or reversal effect disputes exist in China’s A-shares markets. It finds patterns of nonlinear cross-sectional variation and the dynamic change of average stock returns over time. After the global financial crisis of 2008, our empirical results show that momentum effects in the middle term went away and reversal effects took over. We also find substantial reversal effects for the short- (1-6 months) and long-term (3 years), respectively, but no evidence of permanent momentum effects in China.

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  • Li, Bo & Liu, Zhenya & Teka, Hanen & Wang, Shixuan, 2023. "The evolvement of momentum effects in China: Evidence from functional data analysis," Research in International Business and Finance, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:riibaf:v:64:y:2023:i:c:s0275531922002197
    DOI: 10.1016/j.ribaf.2022.101833
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    More about this item

    Keywords

    Momentum effects; China’s A-shares market; Functional data analysis; Circular block bootstrap;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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