Innovation links, information diffusion, and return predictability: Evidence from China
Document Type
Article
Publication Date
10-1-2022
Abstract
Based on the activities of patent citation in China, a novel type of cross-firm innovation links is generated to investigate the gradual diffusion of information along the innovation chain via tests of cross-sectional return predictability. Various signals are created to represent the value of the information contained in the innovation links; these signals are demonstrated to have robust cross-predictability for stock returns in both the cross-sectional regression model and portfolio strategies. The effect of predictability is found to be stronger for stocks with high institutional ownership and analyst coverage. Considering the minimum number of steps required to establish the cross-firm linkage, innovation links are further partitioned to represent different proximity of the linked firms. It is then found that information diffuses faster across closely-linked firms than across distantly-linked firms. Sophisticated investors are found to be able to properly process the relevant information and benefit from innovation links.
Publication Title
International Review of Financial Analysis
DOI
10.1016/j.irfa.2022.102225
Recommended Citation
Zeng, Kailin; Tang, Ting; Liu, Fangbiao; and Atta Mills, Ebenezer Fiifi Emire, "Innovation links, information diffusion, and return predictability: Evidence from China" (2022). Kean Publications. 536.
https://digitalcommons.kean.edu/keanpublications/536