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Do Industries Lead the Stock Market? Gradual Diffusion of Information and Cross-Asset Return Predictability

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  • Hong, Harrison
  • Torous, Walter
  • Valkanov, Rossen

Abstract

We test the hypothesis that the gradual diffusion of information across asset markets leads to cross-asset return predictability. Using thirty-four industry portfolios and the broad market index as our test assets, we establish several key results. First, a number of industries such as retail, services, commercial real estate, metal, and petroleum lead the stock market by up to two months. In contrast, the market, which is widely followed, only leads a few industries. Importantly, an industry’s ability to lead the market is correlated with its propensity to forecast various indicators of economic activity such as industrial production growth. Consistent with our gradual-information-diffusion hypothesis, these findings indicate that the market reacts with a delay to information in industry returns about its fundamentals.

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  • Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2002. "Do Industries Lead the Stock Market? Gradual Diffusion of Information and Cross-Asset Return Predictability," University of California at Los Angeles, Anderson Graduate School of Management qt6x49x543, Anderson Graduate School of Management, UCLA.
  • Handle: RePEc:cdl:anderf:qt6x49x543
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    11. Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2007. "Do industries lead stock markets?," Journal of Financial Economics, Elsevier, vol. 83(2), pages 367-396, February.
    12. Khan, Nasir & Saleem, Asima & Ozkan, Oktay, 2023. "Do geopolitical oil price risk influence stock market returns and volatility of Pakistan: Evidence from novel non-parametric quantile causality approach," Resources Policy, Elsevier, vol. 81(C).
    13. Hashmi, Shabir Mohsin & Chang, Bisharat Hussain & Huang, Liangfang & Uche, Emmanuel, 2022. "Revisiting the relationship between oil prices, exchange rate, and stock prices: An application of quantile ARDL model," Resources Policy, Elsevier, vol. 75(C).
    14. S. N. Markoulis & N. Neofytou, 2016. "An Empirical Analysis of the Relationship between Oil Prices and Stock Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(12), pages 120-131, December.
    15. Paulo Ferreira & Éder J. A. L. Pereira & Hernane B. B. Pereira, 2020. "The Exposure of European Union Productive Sectors to Oil Price Changes," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    16. Ferreira, Paulo & Pereira, Éder Johson de Area Leão & Silva, Marcus Fernandes da & Pereira, Hernane Borges, 2019. "Detrended correlation coefficients between oil and stock markets: The effect of the 2008 crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 86-96.
    17. Lee, Bong-Soo & Rui, Oliver Meng & Wang, Steven Shuye, 2004. "Information transmission between the NASDAQ and Asian second board markets," Journal of Banking & Finance, Elsevier, vol. 28(7), pages 1637-1670, July.
    18. Dhaoui, Abderrazak & Saidi, Youssef, 2015. "Oil supply and demand shocks and stock price: Evidence for some OECD countries," MPRA Paper 63556, University Library of Munich, Germany.
    19. Dhaoui, Abderrazak & Khraief, Naceur, 2014. "Empirical linkage between oil price and stock market returns and volatility: Evidence from international developed markets," Economics Discussion Papers 2014-12, Kiel Institute for the World Economy (IfW Kiel).

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