This study uses the quantile regression method to determine the relative importance of internal and external sources of funds in financing corporate investments across different levels-of investment activities. Our findings lend support to the first (internal-external) rung of the pecking order, as investments are more responsive to internal funds than to external funds at almost all investment levels except at top investment levels. However, empirical support for the second (debt-equity) rung of the pecking order is tenuous, as investments are more responsive to equity issuance than to debt issuance at low and medium investment levels. Intriguingly, firms rely primarily on internal funds for organic growth (via capital expenditures or R&D spending), whereas they use debt capital heavily in financing acquisition-led growth. Finally, firms at high investment levels hold large cash holdings and save a significantly large fraction of equity issue proceeds as cash. (C) 2015 Elsevier B.V. All rights reserved.
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Hong Kong Univ Sci & Technol, Dept Finance, Kowloon, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Finance, Kowloon, Hong Kong, Peoples R China
Dasgupta, Sudipto
Noe, Thomas H.
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Univ Oxford, Said Business Sch, Oxford OX1 1HP, England
Univ Oxford, Balliol Coll, Oxford OX1 1HP, EnglandHong Kong Univ Sci & Technol, Dept Finance, Kowloon, Hong Kong, Peoples R China
Noe, Thomas H.
Wang, Zhen
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Shanghai Univ Finance & Econ, Sch Finance, Shanghai, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Finance, Kowloon, Hong Kong, Peoples R China
机构:
Hong Kong Univ Sci & Technol, Dept Finance, Kowloon, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Finance, Kowloon, Hong Kong, Peoples R China
Dasgupta, Sudipto
Noe, Thomas H.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Oxford, Said Business Sch, Oxford OX1 1HP, England
Univ Oxford, Balliol Coll, Oxford OX1 1HP, EnglandHong Kong Univ Sci & Technol, Dept Finance, Kowloon, Hong Kong, Peoples R China
Noe, Thomas H.
Wang, Zhen
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai Univ Finance & Econ, Sch Finance, Shanghai, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Finance, Kowloon, Hong Kong, Peoples R China