R&D, knowledge spillovers and stock volatility

被引:17
|
作者
Fung, Michael K. [1 ]
机构
[1] Hong Kong Polytech Univ, Sch Accounting & Finance, Kowloon, Hong Kong, Peoples R China
来源
ACCOUNTING AND FINANCE | 2006年 / 46卷 / 01期
关键词
Stock volatility; R&D; Knowledge spillover;
D O I
10.1111/j.1467-629X.2006.00166.x
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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.
引用
收藏
页码:107 / 124
页数:18
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