Stock market valuation of R&D spending of firms acquiring targets from technologically abundant countries
AbstractIn this paper, we aim to extend the internalization theory by Buckley and Casson [Buckley, P.J., Casson, M., 1976. The Future of Multinational Enterprise. Holmes & Meier, New York] and Caves [Caves, R.E., 1971. International corporations: the industrial economics of foreign investment. Economica 38, 1-27] in two respects. First, we hypothesize that synergies arising from a technology-oriented cross-border M&A increase the stock market value of an acquirer's R&D spending. Second, we hypothesize that an acquirer's access to a country with more favorable R&D environment through the target firm is the main source of synergy arising from intangibles in these M&As. Our empirical results of analyzing data from 10 most R&D active countries in Europe are consistent with these hypotheses and support our extension of the internalization theory. Specifically, we find that multinationality of a firm with intangible assets as such does not add value to R&D, but the combination of its own R&D with that of a firm located in a country with highly favorable R&D environment.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Multinational Financial Management.
Volume (Year): 19 (2009)
Issue (Month): 2 (April)
Contact details of provider:
Web page: http://www.elsevier.com/locate/mulfin
R&D Stock market Valuation Mergers and acquisitions Multinational firm;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.