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We present a novel technique for cardinality-constrained index-tracking, a common task in the financial industry. Our approach is based on market graph models. We model our reference indices as market graphs and express the index-tracking problem as a quadratic K-medoids clustering problem. We...
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We characterize the dynamics of neighborhood racial composition by using the k-medians machine learning technique to group neighborhoods into five different patterns according to the evolution of the Black population share of census tracts from 1950 through 1990. The procedure classifies tracts...
Persistent link: https://www.econbiz.de/10015076271
In urban renewal policy, it has become a widespread goal to revitalise neighbourhood economies. The rationale for these … objectives is to activate local inter-firm cooperation. This article examines the neighbourhood-related requirements and … commitment of small firms. It draws on the results of a case study incorporating five German cities in which the neighbourhood …
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We study neighbourhood externalities caused by large public investments in poor neighbourhoods. A stylised theory of a … effect within the neighbourhood. It is shown that public investments have lead to an increase in house prices of about 3 …
Persistent link: https://www.econbiz.de/10011537982
It has often been observed that there is substantial spatial variation in criminality, i.e. criminality clusters in neighborhoods. Differences in neighborhood characteristics are one possible reason, social interactions another. In this paper we use detailed data on the residential location of...
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