Geographic concentration of innovative activities in Germany

The geographic concentration of industries has attracted much attention in recent economic and geographic literature. One mechanism employed to explain the emergence and comparative advantage of industrial agglomerations is based on the relationship between industrial agglomeration and local knowledge production and diffusion, and the resulting innovation activities. This paper analyses this relationship by identifying geographic concentrations of innovation activities and examining different causes for the emergence of these concentrations. The paper applies different concentration measures to patent data for German regions. We analyse 43 technological fields separately to identify which of these technologies tend to cluster in geographic space. The results are discussed in light of theoretical predictions of why specific technological fields concentrate while others do not. These explanations include the concentration of industrial activities, the role of dominant firms, dependence on scientific knowledge, and local interactions.     

Sovereign debt auctions: Uniform or discriminatory?

Many financial assets, especially government bonds, are issued by an auction. An important feature of the design is the auction pricing mechanism: uniform versus discriminatory. Theoretical papers do not provide a definite answer regarding the dominance of one type of auction over the other. We investigate the revealed preferences of the issuers by surveying the sovereign issuers that conduct auctions. We find that the majority of the issuers/countries in our sample use a discriminatory auction mechanism for issuing government debt. We use a multinomial logit procedure and discriminatory analysis to investigate the mechanism choice. It was interesting to find that market-oriented economies and those that practice common law tend to use a uniform method while economies who are less market oriented and practice civil law tend to use discriminatory price auctions.     

The new market for volatility trading

This study analyses the new market for trading volatility; VIX futures. We first use market data to establish the relationship between VIX futures prices and the index itself. We observe that VIX futures and VIX are highly correlated; the term structure of average VIX futures prices is upward sloping, whereas the term structure of VIX futures volatility is downward sloping. To establish a theoretical relationship between VIX futures and VIX, we model the instantaneous variance using a simple square root mean‐reverting process with a stochastic long‐term mean level. Using daily calibrated long‐term mean and VIX, the model gives good predictions of VIX futures prices under normal market situation. These parameter estimates could be used to price VIX options. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 30:809–833, 2010     

Book reviews

Harloe, Michael The people's home? Social rented housing in Europe & America Hitz, Keil, Lehrer, Ronneberger, Schmid and Wolff (eds.) Capitales Fatales: Urbanisierung und Politik in den Finanzmetropolen Frankfurt und Zürich Ascher, François (ed.) Le logement en questions Shapira, Philip, Ian Masser and David W. Edgington (eds.) Planning for cities and regions in Japan