Strategic Patenting in Biotechnology

Patents can be used by their owners in a variety of strategic ways in the market place that do not necessarily conform with the original idea of patents as a remedy against market failure. More patenting does not lead to more innovation in all cases. This article looks at the relevance of patents and their strategic uses in the biotechnology industry. The article considers the different motives for applying for patents and various strategies. Theoretical considerations are made based on empirical findings from a survey of the Swiss biotechnology industry carried out in 2003. The empirical data confirm that patents for biotechnological inventions are important as an incentive for investment in R&D and that patents are an efficient tool for protecting biotechnological inventions. Strategic patenting is not very common in Switzerland and there are no signs for an abusive level of strategic patenting.     

Buchbesprechung

Buchbesprechung

Buchbesprechung     

What you are is what you like—similarity biases in venture capitalists' evaluations of start-up teams

This paper extends recent research studying biases in venture capitalist's decision making. We contribute to this literature by analyzing biases arising from similarities between a venture capitalist and members of a venture team. We summarize the psychological foundations of such similarity effects and derive a set of hypotheses regarding the impact of similarity on the assessment of team quality. Using data from a conjoint experiment with 51 respondents, we find that venture capitalists tend to favor teams that are similar to themselves in type of training and professional experience. Our results have important implications for academics and practitioners alike.     

Modelling and forecasting liquidity supply using semiparametric factor dynamics

We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are modelled jointly with best bid and best ask quotes using a vector error correction specification. Applying the framework to four stocks traded at the Australian Stock Exchange (ASX) in 2002, we show that the suggested model captures the spatial and temporal dependencies of the limit order book. We find spill-over effects between both sides of the market and provide evidence for short-term quote predictability. Relating the shape of the curves to variables reflecting the current state of the market, we show that the recent liquidity demand has the strongest impact. In an extensive forecasting analysis we show that the model is successful in forecasting the liquidity supply over various time horizons during a trading day. Moreover, it is shown that the model's forecasting power can be used to improve optimal order execution strategies.     

Governance, organizational capabilities, and restructuring in transition economies

This paper focuses on the links between governance, firm capabilities and restructuring following the large-scale privatization process in Central and Eastern European transition economies using an integrative approach. Restructuring in these countries has been motivated by political and institutional changes and less so by market forces. Accordingly, political processes have produced political solutions such as “give-away” privatizations to insiders. These privatizations, in contrast to divestitures to outside owners, have realized less substantive restructuring because non-market incentives, such as too much managerial equity ownership, have created managerial entrenchment. In addition, we propose a connection between governance and organizational learning suggesting that learning is inhibited by excessive managerial ownership and lack of board knowledge regarding its oversight function. Furthermore, this entrenchment and poor board functioning may be perpetuated in financial-industrial groups, which have emerged as substitutes for market intermediaries in emerging economies. Thus, we propose that outside ownership involvement and the development of organizational capabilities may facilitate restructuring in the Central and Eastern European context. Our theoretical arguments are supported by case study evidence from transition economies.     

SSNIP, state-owned enterprises, public goods and complements

State-owned enterprises sometimes operate in markets below marginal costs in order to provide public goods. In practice it happens that they can cross-subsidize their activity in other markets since regulation is not perfect. Based on a simple model, I show that such cross-subsidization reduces at least consumer welfare. In competition law, the SSNIP test is used to identify market power. If the state-owned enterprises have some scope for price discrimination, the paper argues that the paradox of the SSNIP test that companies operating below marginal costs are a monopolist on a ??relevant market?? makes sense. The paper recommends imposing a duty to deal as a special responsibility for these companies. Finally, it is argued that some criteria are necessary to refine the applicability of competition law in such situations. Subadditivity of the underlying cost structure should be one sufficient condition to apply competition law.     

Stochastic Conditional Intensity Processes

In this article, we introduce the so-called stochastic conditionalintensity (SCI) model by extending Russell’s (1999) autoregressiveconditional intensity (ACI) model by a latent common dynamicfactor that jointly drives the individual intensity components.We show by simulations that the proposed model allows for awide range of (cross-)autocorrelation structures in multivariatepoint processes. The model is estimated by simulated maximumlikelihood (SML) using the efficient importance sampling (EIS)technique. By modeling price intensities based on NYSE trading,we provide significant evidence for a joint latent factor andshow that its inclusion allows for an improved and more parsimoniousspecification of the multivariate intensity process.     

Market value effects of acquisitions involving internet firms: a resource‐based analysis

While most prior research suggests that the average change in market value of acquiring firms varies closely around zero, recent research grounded in the resource‐based view and organizational learning theory identify positive returns to acquirers. We contribute to this literature by focusing on acquisitions of Internet firms and the potential for the transfer of scarce resources. We hypothesize that acquisitions made by offline firms of Internet firms and by Internet firms of other Internet firms lead to positive market valuation for the acquirer. Results of an event study of 798 acquisitions of Internet firms provided support for these predictions. We also find that prior alliances with online firms do not reduce the gains from such acquisitions to offline firms. Copyright © 2006 John Wiley & Sons, Ltd.