The effect of mergers on implied volatility of equity options

This paper uses a sample of 25 large mergers from 1996 to 2004 to study the effect of mergers on the implied volatilities of equity options. The results indicate a statistically significant increase in volatility beyond the amount predicted if the transaction were effectively nothing more than a portfolio combination of the target and acquirer. The disparity suggests that, at least for the first 18 months after the transaction becomes effective, market participants expect mergers to increase risk. Integration risk and uncertainty about the extent to which efficiency gains and greater market power are realized are possible explanations for the discrepancy.     

Deutsches Gesundheitssystem teuer und ineffizient — eine Fehldiagnose?

In Deutschland wird ein international überdurchschnittlicher Anteil des Bruttoinlandsprodukts für Gesundheitsleistungen aufgewendet. Gleichzeitig ist die Lebenserwartung der Deutschen im Vergleich der entwickelten L?nder allenfalls durchschnittlich. Aus dieser Diskrepanz wird oft der Schluss gezogen, das deutsche Gesundheitssystem sei ineffizient. Bei n?herer Analyse der zugrundeliegenden Daten erscheint diese Schlussfolgerung jedoch fragwürdig.     

Ein Risikostrukturausgleich für die Bundesländer

In Germany, a lively debate about the reform of the financial equalisation scheme between the member states (“Länder”) is under way. There is broad consensus that the member states’ financial responsibility has to be strengthened. A reduction of the transfer level of tax receipts from high-income to low-income states could achieve this objective, but at the cost of solidarity between states. To avoid this trade-off, the authors propose an indicator-based risk adjustment scheme. Their aim is to equalise different financial needs, not only differences in tax revenues across states. Risk adjustment schemes are a well-established instrument, especially in social health care systems.     

Implications of a multi-disciplinary educational and research environment: Perspectives of future business, law, science, and engineering professionals in the technological innovation: Generating economic results (TI:GER®) program

Functioning well in a global, technology-driven, multi-disciplinary environment necessitates a more robust educational paradigm, especially in science and engineering. For a scientific education to be complete, it can no longer be restricted solely to technical areas. Similarly, law and business students will encounter a slew of technologies throughout the course of their careers. They will be required to comprehend the intricacies and corresponding implications of these technologies in order to impart their perspectives effectively and have an impact. In an effort to address this widely recognized need, a number of multi-disciplinary education and innovation programs have recently surfaced. Although several of these have been documented in the literature, the experiences of participants and the manner in which these will influence their future career plans as well as personal goals are not usually taken into account. Our focus in this paper is to shed light on this 'end effect' of being exposed to a multi-disciplinary education by stressing the importance of understanding social, economic, and legal aspects of science and engineering within the context of a scientific graduate-level education. Specifically, the authors take a closer look at the TI:GER^®1(Technological Innovation: Generating Economic Results) program. Based on their experiences, the authors present their learning and insight on multi-disciplinary education in a mixed technical and professional degree setting.     

A two-factor model for the electricity forward market

This paper provides a two-factor model for electricity futures that captures the main features of the market and fits the term structure of volatility. The approach extends the one-factor model of Clewlow and Strickland to a two-factor model and modifies it to make it applicable to the electricity market. We will particularly deal with the existence of delivery periods in the underlying futures. Additionally, the model is calibrated to options on electricity futures and its performance for practical application is discussed.     

Smart grids in the European energy sector

The Smart Grid is crucial for a successful transition to a new energy era in which a high percentage of energy will be provided by renewable energy sources. Many of the necessary ICT technologies are already available and the advances of in-memory computing will enable all actors to process and leverage the massive amount of data delivered by the Smart Grid. The development of the Smart Grid is however slowed down by uncertainties in the regulatory framework and missing standards as well as security and privacy issues. To overcome these challenges, incentives for Smart Grid investment, demonstrations of the benefits and a framework for a truly functioning market are needed.     

Wirtschaftspolitische Herausforderungen der Digitalisierung

Wirtschaftsdienst - Die Digitalisierung bringt weitreichende Veränderungen für Unternehmen, Beschäftigte und Verbraucher mit sich. Sie hat Auswirkungen auf nahezu alle Bereiche des...     

Cross‐commodity analysis and applications to risk management

The understanding of joint asset return distributions is an important ingredient for managing risks of portfolios. Although this is a well‐discussed issue in fixed income and equity markets, it is a challenge for energy commodities. In this study we are concerned with describing the joint return distribution of energy‐related commodities futures, namely power, oil, gas, coal, and carbon. The objective of the study is threefold. First, we conduct a careful analysis of empirical returns and show how the class of multivariate generalized hyperbolic distributions performs in this context. Second, we present how risk measures can be computed for commodity portfolios based on generalized hyperbolic assumptions. And finally, we discuss the implications of our findings for risk management analyzing the exposure of power plants, which represent typical energy portfolios. Our main findings are that risk estimates based on a normal distribution in the context of energy commodities can be statistically improved using generalized hyperbolic distributions. Those distributions are flexible enough to incorporate many characteristics of commodity returns and yield more accurate risk estimates. Our analysis of the market suggests that carbon allowances can be a helpful tool for controlling the risk exposure of a typical energy portfolio representing a power plant. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:197–217, 2009     

Representation of concave distortions and applications

ABSTRACT

A family of concave distortion functions is a set of concave and increasing functions, mapping the unity interval onto itself. Distortion functions play an important role defining coherent risk measures. We prove that any family of distortion functions which fulfils a certain translation equation, can be represented by a distribution function. An application can be found in actuarial science: moment-based premium principles are easy to understand but in general are not monotone and cannot be used to compare the riskiness of different insurance contracts with each other. Our representation theorem makes it possible to compare two insurance risks with each other consistent with a moment-based premium principle by defining an appropriate coherent risk measure.