Do speculators drive crude oil prices? Dispersion in beliefs as a price determinant

This article discusses the influence of speculators in the futures market on crude oil prices. The results suggest the dispersion in beliefs influences both crude oil prices and price volatility. --crude oil market,futures market,speculation

Power and Ownership Structures among German Companies. A Network Analysis of Financial Linkages

The literature on ownership structures has made continual use of notions such as cross-holdings and pyramids which are closely related to the vastly increasing network literature. We propose to transfer successfully applied network methods such as network graphs, the MAN-classification scheme, and centrality concepts to the corporate control and corporate governance branch as well. Given these concepts and a unique data set containing 2784 companies we can identify the most powerful German companies and their characteristics.network, ownership structure, corporate control, power, financial link

Jefficiency vs. Efficiency in Social Network Models

The mainly used welfare criterion in the social network literature is Bentham´s utilitarian concept. The shortcomings of this concept are well-known. We compare the outcomes of the utilitarian concept with the Nash social welfare function. By using a Taylor approximation we deduce a formula which allows the direct comparison of both concepts. The implications of welfare considerations of important network formation models are evaluated by using the multiplicative concept. We introduce a new symmetric connection model which is related to Nash´s welfare function in the same way as the original model is related to the utilitarian function. Based on the observation that heavy tail distributions like the power law distribution and the Pareto distribution can be explained by multiplicative structures we propose to use multiplicative utility functions in social network models. Furthermore, multiplicative utility and welfare functions together exhibit favorable characteristics both in normative and positive terms. Many empirically observed social networks have structures which are better modelled by multiplicative functions. From the normative perspective, multiplicative functions might be attractive since the Nash product introduces some form of justice.social networks, welfare, efficiency, Nash product, jefficiency, justice

Classification of Network Formation Models

Social network formation models are often compared by their network structures, which satisfy specific equilibrium or welfare properties. Here, we concentrate on welfare criteria and define properties of utility function which are causal for certain network structures. We hope the identification of different properties of utility function will enhance the understanding of the relationship of different network formation models. If this line of research is continued, a kind of engineering of network formation models might arise such that actual social networks can be directly described by appropriate utility functions.social networks, network formation, rival networks, welfare, efficiency

Do speculators drive crude oil prices? Dispersion in beliefs as a price determinant

This article discusses the influence of speculators in the futures market on crude oil prices. The results suggest the dispersion in beliefs influences both crude oil prices and price volatility

Jefficiency vs. Efficiency in Social Network Models

The mainly used welfare criterion in the social network literature is Bentham´s utilitarian concept. The shortcomings of this concept are well-known. We compare the outcomes of the utilitarian concept with the Nash social welfare function. By using a Taylor approximation we deduce a formula which allows the direct comparison of both concepts. The implications of welfare considerations of important network formation models are evaluated by using the multiplicative concept. We introduce a new symmetric connection model which is related to Nash´s welfare function in the same way as the original model is related to the utilitarian function. Based on the observation that heavy tail distributions like the power law distribution and the Pareto distribution can be explained by multiplicative structures we propose to use multiplicative utility functions in social network models. Furthermore, multiplicative utility and welfare functions together exhibit favorable characteristics both in normative and positive terms. Many empirically observed social networks have structures which are better modelled by multiplicative functions. From the normative perspective, multiplicative functions might be attractive since the Nash product introduces some form of justice

Macroeconomic Imbalances in EMU and the Eurosystem

Schulden; Finanzmarktkrise; Euro; Schuldenkrise; Europäische Wirtschafts- und Währungsunion

The Foreign Exchange Rate Exposure of Nations

Following the well-known approach by Adler and Dumas (1984), we evaluate the foreign exchange rate exposure of nations. Results based on data from 27 countries show that national foreign exchange rate exposures are significantly related to the current trade balance variables of corresponding economies.Exchange rate exposure, international trade, current trade balance

Unterschiedliche Markteinschätzungen von Spekulanten als Determinante des Rohölpreises

Bis zum Amtsantritt von Gary Gensler ging die US Commodity Futures Trading Commission von einem geringen Einfluss der Spekulanten auf den Rohölpreis aus, während nun eine Neubewertung stattfindet.Dieser Artikel misst die Aktivität der Spekulanten mit Hilfe von Variablen der wöchentlichen CFTC-Marktberichte und untersucht den Einfluss von Spekulanten auf den Rohölpreis und die Rohölpreisvolatilität mit Hilfe ökonometrischer Verfahren. Die Ergebnisse legen einen Einfluss der unterschiedlichen Markteinschätzungen von Spekulanten sowohl auf den Rohölpreis als auch die Preisvolatilität nahe. --crude oil market,futures market,speculation

Classification of Network Formation Models

Social network formation models are often compared by their network structures, which satisfy specific equilibrium or welfare properties. Here, we concentrate on welfare criteria and define properties of utility function which are causal for certain network structures. We hope the identification of different properties of utility function will enhance the understanding of the relationship of different network formation models. If this line of research is continued, a kind of engineering of network formation models might arise such that actual social networks can be directly described by appropriate utility functions