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Investor Sentiment and Stock Price Premium Validation with Siamese Twins from China

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  • Li, Yuan
  • Ran, Jimmy

Abstract

We apply the principal component analysis (PCA) and the partial least squares (PLS) methods to construct investor sentiment measurements and decompose them into total, local and global indices for the Mainland China (A-shares) and Hong Kong (H-shares) stock markets. Our results show that total investor sentiment is a strong predictor for the A-shares market, but it has hardly any effect in the H-shares market. We find that the sentiment differential, either total or local, has a positive relationship with the aggregate excess returns differential between the two markets, but the Hong Kong sentiment alone, either total or local, does not play much role. We further find that the sentiment differential is positively associated with the price premium of A-shares over H-shares. Our results are robust even after we add traditional factors.

Suggested Citation

  • Li, Yuan & Ran, Jimmy, 2020. "Investor Sentiment and Stock Price Premium Validation with Siamese Twins from China," Journal of Multinational Financial Management, Elsevier, vol. 57.
    • Handle: RePEc:eee:mulfin:v:57-58:y:2020:i::s1042444x2030044x
    DOI: 10.1016/j.mulfin.2020.100655
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    More about this item

    Keywords

    Investor sentiment; Return predictability; Cross-listed; Price premium;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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