This study investigates the predictability of stock market returns using a novel corporate investment measure that captures the lumpiness of firm-level investment. We find that the proportion of firms with investment spikes (spike) is a strong predictor of excess stock returns. Specifically, an increase in spike significantly lowers future excess stock returns. The predictive ability of spike is consistently observed in both in-sample and out-of-sample tests. Furthermore, spike shows strong predictive ability at the business cycle frequency, suggesting that its predictive ability is driven by the time-varying risk premium associated with business cycles rather than temporary mispricing. (C) 2020 Elsevier B.V. All rights reserved.
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Hong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China
Liu, Laura Xiaolei
Whited, Toni M.
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Univ Rochester, Rochester, NY 14627 USAHong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China
Whited, Toni M.
Zhang, Lu
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Univ Michigan, Ann Arbor, MI 48109 USA
Natl Bur Econ Res, Cambridge, MA 02138 USAHong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China
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Washington Univ, Olin Business Sch, One Brookings Dr,Campus Box 1133, St Louis, MO 63110 USAWashington Univ, Olin Business Sch, One Brookings Dr,Campus Box 1133, St Louis, MO 63110 USA
Kadan, Ohad
Tang, Xiaoxiao
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Univ Texas Dallas, Naveen Jindal Sch Management, Richardson, TX 75083 USAWashington Univ, Olin Business Sch, One Brookings Dr,Campus Box 1133, St Louis, MO 63110 USA