A cross-currency Lévy market model

The Lévy Libor or market model which was introduced in Eberlein and Özkan (The Lévy Libor model. Financ. Stochast., 2005, 9, 327–348) is extended to a multi-currency setting. As an application we derive closed form pricing formulas for cross-currency derivatives. Foreign caps and floors and cross-currency swaps are studied in detail. Numerically efficient pricing algorithms based on bilateral Laplace transforms are derived. A calibration example is given for a two-currency setting (EUR, USD).     

Central Bank Independence and Sacrifice Ratios: Some Further Considerations

The existing literature reports a positive relationship between sacrifice ratios and central bank independence. This paper discusses two critical points related to the usual procedures employed by this literature. One concerns the issue of non-stationarity of the inflation rate, the other the problem of correlation between the error terms for different disinflation episodes in the same country. The way in which the sacrifice ratio-central bank independence relationship is tested is reconsidered taking into account these points. Our results shed considerable doubts on the nature and robustness of such a relationship and on the usual interpretation given to it in the literature.     

A Negotiation Model for Inducing Higher Service in a Distribution Channel

This paper analyzes, in the context of negotiation, the problem of coordination and conflict resolution between the manufacturer (Seller) and the retailers (Buyers) for a two-tier inventory system. The retailers capture demand (from customers) and therefore are responsible for the level of service offered by the system. The larger the inventory that a retailer has of a particular product, the lower the probability of running out of stock and therefore, avoid the possibility of a lost sale for the manufacturer. A conflict arises (and therefore the negotiation process starts) when the manufacturer wants the retailer to increase the level of service while retailers are satisfied with the status quo. Using the Nash bargaining solution, we develop a theoretical framework that incorporates behavioral dimensions and predicts the outcome of “sharing” the profit. The results indicate the advantage of developing long term relationships among the members of the distribution channel to minimize the uncertainty and therefore the source of conflict.     

Tumorpatienten – die Rolle der Angehörigen

Zusammenfasung  Belastungen, Bew?ltigungen, Ressourcen — Angeh?rige von Patienten werden im medizinischen Behandlungsprozess nicht selten als „St?rfaktoren“ wahrgenommen, die durch ihre Gegenwart, ihre Fragen und Anliegen den Arbeitsalltag „behindern“. Nur allzu schnell wird übersehen, welche gro?e Bedeutung sie bei der Betreuung der Patienten haben und wie hilfreich und unterstützend sie auch für das Pflegepersonal sein k?nnen – das gilt auch und besonders in der Onkologie.     

Introducing a general class of species diversification models for phylogenetic trees

Phylogenetic trees are types of networks that describe the temporal relationship between individuals, species, or other units that are subject to evolutionary diversification. Many phylogenetic trees are constructed from molecular data that is often only available for extant species, and hence they lack all or some of the branches that did not make it into the present. This feature makes inference on the diversification process challenging. For relatively simple diversification models, analytical or numerical methods to compute the likelihood exist, but these do not work for more realistic models in which the likelihood depends on properties of the missing lineages. In this article, we study a general class of species diversification models, and we provide an expectation-maximization framework in combination with a uniform sampling scheme to perform maximum likelihood estimation of the parameters of the diversification process.     

Bayesian smooth-and-match inference for ordinary differential equations models linear in the parameters

Dynamic processes are crucial in many empirical fields, such as in oceanography, climate science, and engineering. Processes that evolve through time are often well described by systems of ordinary differential equations (ODEs). Fitting ODEs to data has long been a bottleneck because the analytical solution of general systems of ODEs is often not explicitly available. We focus on a class of inference techniques that uses smoothing to avoid direct integration. In particular, we develop a Bayesian smooth-and-match strategy that approximates the ODE solution while performing Bayesian inference on the model parameters. We incorporate in the strategy two main sources of uncertainty: the noise level of the measured observations and the model approximation error. We assess the performance of the proposed approach in an extensive simulation study and on a canonical data set of neuronal electrical activity.     

Corporate venture capital as a strategy for external innovation: an exploratory empirical study

By creating corporate venture capital (CVC) units, large corporations predominantly pursue strategic objectives, especially the realisation of external innovations. Theoretical and preliminary empirical results on corporate venturing suggest how to manage CVC in order to achieve strategic objectives. We analyse for a sample of 21 corporate venture units in Germany, if the respective CVC programmes pursue the strategic objective to leverage external innovation and if these programmes are managed accordingly. We find that the majority of German corporate venture programmes follow mixed objectives and are not organised and managed as suggested in the literature. We come to the conclusion that a short-term focus on financial objectives of these CVC programmes prohibits the achievement of long-term strategic benefits from external innovation.