Purpose The purpose of this paper is to investigate whether firm efficiency can explain the investment anomaly. The investment anomaly refers to the persistent negative relation between firm growth and future risk-adjusted returns. When firms grow by investing heavily, the market often takes the growth as positive news initially but will correct prices downward subsequently if the firms lack skills to materialize value from the investments. Design/methodology/approach The author conducts portfolio sorting and Fama-Macbeth regression analyses with three different measures of efficiency and four variables for firm investment: net stock issuance (NSI), total asset growth (dAA), fixed asset and inventory growth (IA) and net operating assets (NOA). Findings The author finds that the NSI, dAA and IA anomalies are concentrated in firms with low overall efficiency. In addition, there is strong evidence that manager-driven efficiency is closely related to the NSI anomaly and limited evidence that NOA efficiency plays a role in the NSI, IA and NOA anomalies. Originality/value The research contributes to the literature by employing advanced efficiency measures developed by Demerjianet al.(2012) to resolve extant asset pricing puzzles. Also, the findings offer important implications for corporate managers and investors by demonstrating the effect of firm investments and efficiency on future profitability of stocks.
机构:
Chung Ang Univ, Sch Business Adm, 84 Heukseok Ro, Seoul 06974, South KoreaChung Ang Univ, Sch Business Adm, 84 Heukseok Ro, Seoul 06974, South Korea
Mo, Kyoungwon
Lee, Kyung Yun
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Hankuk Univ Foreign Studies, Coll Business, 107 Imun Ro, Seoul 02450, South KoreaChung Ang Univ, Sch Business Adm, 84 Heukseok Ro, Seoul 06974, South Korea
机构:
EM Normandie Business Sch, Metis Lab, Le Havre, France
Vietnam Natl Univ, Int Sch, Hanoi, VietnamEM Normandie Business Sch, Metis Lab, Le Havre, France
Boubaker, Sabri
Dang, Viet A.
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Univ Manchester, Alliance Manchester Business Sch, Booth St West, Manchester M15 6PB, Lancs, EnglandEM Normandie Business Sch, Metis Lab, Le Havre, France
Dang, Viet A.
Sassi, Syrine
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Paris Sch Business PSB, Econ Energy & Policy Dept, Paris, FranceEM Normandie Business Sch, Metis Lab, Le Havre, France