In dynamic business contexts where knowledge is continually evolving and thus critical for betterorganizational performance, not only knowledge re-use but also knowledge re-creation becomes moreand more important. One of these contexts is the use of non-renewable resources in innovative...

In this study, we develop a framework, based on a global vector autoregression (GVAR) model, to unite two perspectives on commodity markets, the commodity-specific, single-market-centered approach, investigating the micro- and macroeconomic drivers of commodity prices, and the market...

Zahlreiche empirische Untersuchungen haben gezeigt, dass Verteilungen von Aktienkursrenditen nur unzureichend durch die Normalverteilung abgebildet werden können. Zur Approximation der Verteilung erwiesen sich in der Literatur und erweisen sich meist die nichtnormalen stabilen Verteilungen als...

We expand on research concerning the well-pronounced influence of geographical peer groups on human behavior. For this purpose, bank-specific risk-taking behavior and its relation to culturally close banks – measured by geographical as well as linguistic distance – is examined. We...

In this study, we develop a framework, based on the Global Vector Autoregression Model (GVAR), to unite two differing perspectives on commodity markets, the single-market centered approach, investigating the micro- and macroeconomic drivers of commodity prices, as well as the inter-market...

In our study, we individually forecast 26 metal prices one-month ahead and outperform the predefined benchmark model, a random-walk (with drift) in 18 (18) cases. These forecasts are based on an overview over a large set of potential predictors for mineral commodities, originating from studies...

Can the credit spreads of one and the same issuer differ in two different currencies? If so, can an investor exploit this situation? To answer these questions and to add to the existing literature, we extend the Jarrow/Turnbull model with a second currency and test these theoretical results with...

For some commodities, the strong increase in demand over the last decade will have major impact on their future availability. Thus, the importance of assessing a commodity's criticality by means of criticality indicators continuously increases. In the literature, numerous indicators for...

In this article we analyse the effects of Guaranteed Stop Orders on shares in the German stock index DAX. We briefly explain how Guaranteed Stop Orders work and then we develop a jump process, which is based on a Variance Gamma Process, to model the share prices. We show, by means of...

We apply autoregressive distributed lag regression (ARDL) and several methods of structural break analysis on a daily data set between 1995 and 2014 to explore various supply and demand factors as drivers of the price differential between WTI and Brent crude oil. In line with previous...