Technology-linked return;
Chinese STAR market;
cross-predictability;
institutional investors;
RESEARCH-AND-DEVELOPMENT;
SPILLOVERS;
D O I:
10.1080/13504851.2024.2425837
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
This paper examines the predictive power of technology-linked returns in the Chinese Science and Technology Innovation Market (STAR Market). Using a sample from August 2019 to June 2023, we construct technology-linked returns based on patent portfolio similarities among firms. Our findings indicate that these returns significantly predict future stock returns, with a long-short strategy yielding weekly excess returns between 0.50% and 0.53%. Analysis of trade sizes reveals that institutional investors are more likely to drive this predictability, as the direction of large trades aligns with technology-linked returns. This study explores how technology-peer information affects stock returns in an emerging, technology-intensive market, highlighting the significant role of traders with large capital in leveraging technology-peer information.
机构:
Univ Western Australia, UWA Business Sch, Dept Accounting & Finance, Perth, AustraliaUniv Western Australia, UWA Business Sch, Dept Accounting & Finance, Perth, Australia
Shan, Yuan George
Troshani, Indrit
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机构:
Univ Adelaide, Adelaide Business Sch, Adelaide, AustraliaUniv Western Australia, UWA Business Sch, Dept Accounting & Finance, Perth, Australia
Troshani, Indrit
Wang, Jimin
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h-index: 0
机构:
Univ Western Australia, UWA Business Sch, Dept Accounting & Finance, Perth, AustraliaUniv Western Australia, UWA Business Sch, Dept Accounting & Finance, Perth, Australia
Wang, Jimin
Zhang, Lu
论文数: 0引用数: 0
h-index: 0
机构:
East China Normal Univ, Acad Stat & Interdisciplinary Sci, Sch Stat, Key Lab Adv Theory & Applicat Stat & Data Sci MOE, Shanghai, Peoples R ChinaUniv Western Australia, UWA Business Sch, Dept Accounting & Finance, Perth, Australia