Merger Premia and National Differences in Accounting for Goodwill

We examine the effects of international accounting diversity on the market for corporate control with particular reference to whether national differences in the treatment of purchased goodwill are associated with differences in premia offered by U.K. as opposed to U.S. acquirers of U.S. targets. We find merger premia associated with U.K. acquisitions to be consistently higher than those for U.S. acquisitions. Moreover, higher premiums offered by U.K. acquirors appear to be associated with not having to amortize goodwill to earnings. The evidence provided here suggests that national differences in accounting impact differentially on managerial behavior.     

A patent-based cross impact analysis for quantitative estimation of technological impact: The case of information and communication technology

The increasing syntheses and interactions between various technologies increase the usefulness of cross impact analysis (CIA) as a method for forecasting and analyzing them. Conventional CIA depends on an expert's qualitative judgment or intuition and thus it is difficult to evaluate quantitatively the impact of one technology on another. In this study, we employ patent analysis in CIA to examine such impacts between technologies based on multiple patent classifications. Patent information is used for facilitating quantitative and systematic approach in CIA. The distinctive feature and main contribution of the proposed approach is the overcoming of the limitations of conventional CIA, by employing conditional probabilities based on the patent information. The classification of patents, particularly the multiple classifications, is used to evaluate the relationships between technologies. As an illustration, a patent-based CIA with information and communication technologies (ICTs) was conducted. Firstly, the patent-based cross impact among ICTs was calculated. Secondly, the technology pairs were classified based on the cross impact score between ICTs. Thirdly, a cross impact network was constructed to identify the complex relation among ICTs. Finally, the changes in cross impact scores between technologies over time were analyzed. The results of this research are expected to help practitioners to forecast future trends and to develop better R&D strategies.     

Effects of Alternative Goodwill Treatments on Merger Premia: Further Empirical Evidence

In this study, we extend our analysis of the effects of international accounting diversity on market behavior. Specifically we examine whether national differences in the treatment of purchased goodwill are associated with differences in premia offered by non-U.S. acquirers other than the British when bidding for U.S. target companies. We find merger premia offered by foreign acquirors who enjoy advantageous accounting or tax treatments relative to U.S. acquirors to be higher, on average, than those offered by U.S. acquirors. Regression analyses show that goodwill accounting does explain merger premia. The higher coefficient on goodwill in German acquisitions, relative to Japanese acquisitions, indicates that merger premia are associated with accounting diversity among various countries in the sense that, while tax benefits are available in both Japan and Germany, more favorable accounting treatments are operative in the latter.     

Monitoring the organic structure of technology based on the patent development paths

As the strategic importance of understanding changes in technology for successful business of most firms increases, the ability to analyze and monitor the current stage and history of technology is reckoned as a critical asset both for gaining competitive advantage and identifying promising niches. Patent citation networks have been widely used for systematic and empirical analysis of technology development. Understanding of technology's detailed changes in large patent citation networks, however, is difficult to achieve because of these networks' large and complex structures. To overcome this problem, we suggest an algorithm that identifies patent development paths from a large patent citation network by evaluating the weight of citations between patents. We then apply this algorithm to flash memory patents in an empirical study. Our algorithm is a new methodology that can be used to analyze the dynamic and complex structure of individual technologies.