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R&D, knowledge spillovers and stock volatility
Author(s) -
Fung Michael K.
Publication year - 2006
Publication title -
accounting and finance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.645
H-Index - 49
eISSN - 1467-629X
pISSN - 0810-5391
DOI - 10.1111/j.1467-629x.2006.00166.x
Subject(s) - volatility (finance) , stock (firearms) , dividend , economics , financial economics , econometrics , empirical evidence , monetary economics , finance , mechanical engineering , engineering , philosophy , epistemology
Firms improve their know‐how not only by innovations (producing new knowledge), but also by knowledge spillovers (learning from others). The objective of this study is to test for two major hypotheses developed from a theoretical model explaining the relationship between R&D, knowledge spillovers and stock volatility. Analytically, the model suggests that asymmetric information caused by R&D activities with uncertain future output increases stock volatility, even though dividends and consumptions remain unchanged. However, interfirm knowledge spillovers have a negative impact on stock volatility by reducing the degree of asymmetric information. Both hypotheses are supported by empirical evidence from this study.