Stifterverband für die Deutsche Wissenschaft

About: Stifterverband für die Deutsche Wissenschaft is a based out in . It is known for research contribution in the topics: Bond insurance & Capital allocation line. The organization has 12 authors who have published 13 publications receiving 141 citations. The organization is also known as: Donors Association for the Promotion of Humanities and Sciences in Germany.

Capital allocation for insurance companies- what good is it?

Abstract: In their 2001 Journal of Risk and Insurance article, Stewart C. Myers and James A. Read Jr. propose to use a specific capital allocation method for pricing insurance contracts. We show that in their model framework no capital allocation to lines of business is needed for pricing insurance contracts. In the case of having to cover frictional costs, the suggested allocation method may even lead to inappropriate insurance prices. Beside the purpose of pricing insurance contracts, capital allocation methods proposed in the literature and used in insurance practice are typically intended to help derive capital budgeting decisions in insurance companies, such as expanding or contracting lines of business. We also show that net present value analyses provide better capital budgeting decisions than capital allocation in general.

Openness determinants of national research funding programmes in EU27

Abstract: We empirically study how the characteristics of research and innovation systems influence the openness of national research funding programmes as regards the availability of funding to non-resident researchers Based on a unique data set of national R&D programmes in the EU27 we identify a number of country-specific factors These factors determine the degrees of programme openness observed when controlling for programme features in a hierarchical estimation model Interestingly, we find that the quality and performance of national research add to the explanation of programme openness, whereas national integration into EU funding and research collaboration does not

Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach

Abstract: Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore whether geographical, network-related, and techno-logical determinants affect the evolution of networks, and if so, as to what extent these determinants systematically differ for science-driven industries compared to scale-intensive industries. Our results provide empirical evidence for the explanatory power of network-related determinants in both industries. The 'experience effect' as well as the 'transitivity effects' are significant for both industries but more pronounced for laser manufacturing firms. When it comes to 'geographical effects' and 'technological effects' the picture changes considerably. While geographical proximity plays an important role in the automotive industry, firms in the laser industry seem to be less dependent on geographical closeness to cooperation partners; instead they rather search out for cooperation opportunities in distance. This might reflect the strong dependence of firms in science-driven industries to access diverse external knowledge, which cannot necessarily be found in the close geographical surrounding. Technological proximity negatively influences cooperation decisions for laser source manufacturers, yet has no impact for automotive firms. In other words,technological heterogeneity seems to explain, at least in science-driven industries, the attractiveness of potential cooperation partners.