Abstract:When studying the influence of stock market participants on the innovation activities of high-tech companies, R&D process is usually regarded as “black box” and concerned about the identification of its direct relationship with R&D output in existent literature. This problem will easily lead to ambiguity in identification of the effects and insufficient recognition of the environment that the influence mechanism works. In this paper, based on the literature analysis, we open the “black box” of R&D process, and construct a theoretical model to illustrate how the analysts’ optimistic rating will impact the transformation from stock of human capital to R&D output in high-tech companies with different proportions of institutional ownership. Then, we choose public listed automobile companies in A-share market from 2011 to 2017 as a sample. We examined the effects with hierarchical regression and threshold regression. The empirical result verified the identification of transformation from stock of human capital to R&D output through R&D input. Also, it indicated that the R&D input cannot be steadily transformed into R&D output when proportion of institutional ownership is low; furthermore, when proportion of institutional ownership is high, analysts’ optimistic rating would strengthen the transformation from R&D input to R&D output. The conclusion supports the reasonability to decompose the R&D process when studying the influence of capital market behaviors on innovation activities of high-tech companies, and provides a more complete technical route for research in this field. The different influence of analysts’ optimistic rating on R&D activities of high-tech companies with different proportion of institutional ownership, which is reflected in the conclusion will also broaden the views of relevant studies.