The complexity of today's industrial production networks constitutes a new challenge for industrial risk and safety management. In order to handle potential risks to and emanating from industry and their respective impact on mankind as well as the environment, an integrated approach to industrial risk management is needed, since complex decision situations need to be resolved requiring input fr…
Owners impose usage restrictions on their information, which can be based e.g. on privacy laws, copyright law or social conventions. Often, information is processed in complex constellations without central control. In this work, we introduce technologies to formally express usage restrictions in a machine-interpretable way as so-called policies that enable the creation of decentralised systems…
The recent regulatory changes, together with the increasing awareness of the variety of sources of uncertainty that affect the activities of insurance and pension funds, have generated increasing attention towards insurance risk management theory and practice. Against this background, this Special Issue collects relevant contributions on a variety of issues encompassing longevity risk modelling…
Faster developing cycles and economic developments created many emerging economies in the 20th century. For sustainable economic growth, however, the construction and constant preservation of a profound knowledge base and technological pool is crucial. Brazil, China, India and Russia, experienced constant high economic growth rates and begun to evolve to solid economies which are challenging th…
Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities…
The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. In this doctoral thesis, we combine fundamental electricity market models with stochastic dynamic programming to evaluate power plant investments under uncertainty. The application of interpolation-based stochastic dynamic programming and approximate dynamic programming allows us to consider a gre…
This book makes a contribution to the formulation and implementation of production cost models for the modelling of liberalized electricity markets by addressing issues associated with the level of detail in the representation of the underlying power system, the accuracy of the results and the modelling effort. To this end a production cost model was formulated and applied to estimate the short…
Nietzsche distinguished between two forces in art: Apollonian, which represents order and reason, and Dionysian, which represents chaos and energy. An ideal work of art combines these two characteristics in a believable, relatable balance. Economists, Ward argues, have operated for too long under the assumption that their work reflects scientific, Apollonian principals when these simply do not …
How can the Web be made situation-aware? Event processing is a suitable technology for gaining the necessary real-time results. The Web, however, has many users and many application domains. Thus, we developed multi-schema friendly data models allowing the re-use and mix from diverse users and application domains. Furthermore, our methods describe protocols to exchange events on the Web, algori…