Network configuration and innovation success: An empirical analysis in German high-tech industries

Based on the assumption that intensity and structure are the most important dimensions of a firm's technological network, the authors identity seven different types of technology-oriented network configurations. Drawing upon a database of 321 high-tech companies, they show that innovation success is significantly correlated with a firm's technological network. Product and process innovations are shown to demand different types of network configurations.     

The Challenge of Self-adaptive Systems for E-commerce

For future E-commerce systems that are engaged in many dynamic trading relationships, the ability to adapt themselves smoothly will increasingly become a critical property. In this paper, we first define the basic semantic structure of a collaborative process. Then we introduce a formal framework for self-adaptive systems. We argue that self-adaptive systems should specify goals explicitly, and propose a goal-based architecture. We further argue that for systems that operate in a shared environment with other systems, self-adaptation should be extended with co-adaptation. We define four levels of co-adaptation, and present an argumentation mechanism that can be used to enable co-adaptation at the higher levels.     

Absolute Ruin Probabilities in a Jump Diffusion Risk Model with Investment

Abstract

This article considers the compound Poisson insurance risk model perturbed by diffusion with investment. We assume that the insurance company can invest its surplus in both a risky asset and the risk-free asset according to a fixed proportion. If the surplus is negative, a constant debit interest rate is applied. The absolute ruin probability function satisfies a certain integro-differential equation. In various special cases, closed-form solutions are obtained, and numerical illustrations are provided.     

Numerical evaluation of the compound Poisson distribution: Recursion or Fast Fourier Transform?

1. The problem

The finite vector p=(p ₁,p ₂, ...,p_s ) defines a probability distribution on the integers 1,2, ...,s.     

Shifting martingale measures and the birth of a bubble as a submartingale

In an incomplete financial market model, we study a flow in the space of equivalent martingale measures and the corresponding shifting perception of the fundamental value of a given asset. This allows us to capture the birth of a perceived bubble and to describe it as an initial submartingale which then turns into a supermartingale before it falls back to its initial value zero.     

Behaviorismus und die psychologischen Grundlagen der österreichischen Schule

Ohne Zusammenfassung     

Trend stationarity in the I(2) cointegration model

A vector autoregressive model for I(2) processes which allows for trend-stationary components and restricts the deterministic part of the process to be at most linear is defined. A two-step statistical analysis of the model is derived. The joint test of I(1) and I(2) cointegrating ranks is shown to be asymptotically similar with respect to the drift terms and the asymptotic distribution is tabulated. The cointegrating parameters are shown to be mixed Gaussian and an application for UK monetary data illustrates the proposed analysis.