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Investor attention, information diffusion and industry returns

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  • Wu, Qiongbing
  • Shamsuddin, Abul

Abstract

Using the monthly data for more than 1700 Australian stocks over the period from 1990 to 2009, we investigate whether industry portfolio returns predict the aggregate market. We find that a few industries significantly lead the market even controlling for well-recognized market predictors. However, unlike U.S. studies, we do not find that the ability of an industry to predict the market is closely related to its propensity to forecast economic growth. Instead, we find that the capacity of an industry to lead the market is significantly moderated by proxies for investor attention. In general, more neglected industries are more informative in leading the markets due to delayed investor attention to the information content of these industries; and the information contained in industry portfolio returns is incorporated into the market return more slowly during economic recession when investors pay less attention to the stock markets. Our research provides new empirical evidence in support of the gradual information diffusion hypothesis from a market that differs from the U.S. stock market.

Suggested Citation

  • Wu, Qiongbing & Shamsuddin, Abul, 2014. "Investor attention, information diffusion and industry returns," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 30-43.
  • Handle: RePEc:eee:pacfin:v:30:y:2014:i:c:p:30-43
    DOI: 10.1016/j.pacfin.2014.06.002
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    Cited by:

    1. Yu, Miao & Hu, Xiaolu & Zhong, Angel, 2023. "Trade links and return predictability: The Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    2. Lin, Chaonan & Ko, Kuan-Cheng & Chen, Yu-Lin & Chu, Hsiang-Hui, 2016. "Information discreteness, price limits and earnings momentum," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 1-22.
    3. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Forecasting the CNY-CNH pricing differential: The role of investor attention," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 232-247.
    4. Yanying Zhang & Yiuman Tse & Gaiyan Zhang, 2022. "Return predictability between industries and the stock market in China," Pacific Economic Review, Wiley Blackwell, vol. 27(2), pages 194-220, May.
    5. Hua Wu & Taiwen Feng & Wenbo Jiang & Ting Kong, 2022. "Environmental Penalties, Investor Attention and Stock Market Reaction: Moderating Roles of Air Pollution and Industry Saliency," IJERPH, MDPI, vol. 19(5), pages 1-27, February.

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    More about this item

    Keywords

    Market efficiency; Information diffusion; Investor attention; Industry returns;
    All these keywords.

    JEL classification:

    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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