Institutional ownership and returns on investment

PublikationArtikel (med peer review)

Ägarskap, Bolagsstyrning, Corporate governance, Daniel Wiberg, Företagandets villkor, Johan Eklund, Marginal q, Per-Olof Bjuggren, Performance, Tobin’s q

Sammanfattning

This paper examines how institutional investors influence investment decisions and returns on investment. To measure investment performance, we use marginal q, which measures the ratio of the return on investment to the cost of capital. Institutional owners are found to have a positive but marginally diminishing effect on performance. Our paper uses longitudinal data on Swedish firms from 1999 to 2005; during this period, the ownership structure of Swedish firms underwent dramatic changes as institutional investors increased their ownership shares, while ownership by Swedish households decreased. However, controlling owners – who were often founding families – maintained their control of firms by resorting to extensive use of dual-class shares. This was an important determinant of firm performance that eradicated the positive influence of institutional ownership.
Related content: Working Paper No. 208

Bjuggren, P.-O., Eklund, J,. & Wiberg, D. (2016). Institutional ownership and returns on investment. Corporate Ownership and Control, 13(4), 419-430.

Liknande innehåll

Artificiell intelligens data – att dela eller inte dela?

Artikel (utan peer review)Publikation

Long, V. & Bjuggren, P-O.

Publiceringsår

2022

Publicerat i

Ekonomisk debatt, 2022(6).

Sammanfattning

Long, V. & Bjuggren, P-O. (2022). Artificiell intelligens data – att dela eller inte dela? Ekonomisk debatt, 2022(6).

Working Paper No. 355: The artificial intelligence (AI) data access regime: what are the factors affecting the access and sharing of industrial AI data?

Working paperPublikation

Bjuggren, P.O. & Long, V.

Ladda ner

Publiceringsår

2022

Publicerat i

Bjuggren, P.O. & Long, V.

Sammanfattning

This paper decomposes the factors that govern the access and sharing of machine-generated industrial data in the artificial intelligence era. Through a mapping of the key technological, institutional, and firm-level factors that affect the choice of governance structures, this study provides a synthesised view of AI data-sharing and coordination mechanisms. The question to be asked here is whether the hitherto de facto control—bilateral contracts and technical solution-dominating industrial practices in data sharing—can handle the long-run exchange needs or not.

The openness of open innovation in ecosystems

Artikel (med peer review)Publikation

Öberg, C., & Alexander, A.

Publiceringsår

2019

Publicerat i

Journal of Innovation & Knowledge

Sammanfattning

Open innovation has rendered increased interest both in practice and research, and has expanded from dyadic transfers of ideas, to ecosystem levels. Knowledge is at the heart of open innovation, and this paper describes and discusses knowledge-transfer linkages for open innovation. It does so based on a literature review. The paper links together open innovation research with general management research to categorise and discuss linkages among parties in terms of their openness and how they relate to knowledge management. Conclusions indicate that openness needs to be considered in different dimensions that also links to different knowledge management outcomes. The paper’s contribution consists of how it connects open innovation research to the general management literature, and how it builds a practical understanding of how linkages between firms can be categorised to aid firms to consider which mechanisms they may choose and why.

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