Do industries lead stock markets? A reexamination
Yiuman Tse
Journal of Empirical Finance, 2015, vol. 34, issue C, 195-203
Abstract:
Hong et al. (2007) report that a number of U.S. industry returns can forecast the stock market using monthly data. Reexamining their results with an extended period, 1946–2013, and data, 48 industries, I find that only one to seven industries have significant predictive ability for the stock market, depending on the significance level (10% or 5%) and the model specifications used. However, I find some evidence of the opposite predictive direction from the stock market to industries. The stock market also performs better than industries in predicting economic growth. Using similar data, 34 industries, and period, 1946–2002, as Hong et al., I find that the results are less significant after data revisions. My overall results are consistent with the efficient market hypothesis.
Keywords: Asset pricing; Financial markets and macroeconomy; Information and market efficiency (search for similar items in EconPapers)
JEL-codes: E44 G12 G14 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927539815001012
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:empfin:v:34:y:2015:i:c:p:195-203
DOI: 10.1016/j.jempfin.2015.10.003
Access Statistics for this article
Journal of Empirical Finance is currently edited by R. T. Baillie, F. C. Palm, Th. J. Vermaelen and C. C. P. Wolff
More articles in Journal of Empirical Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().