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In this paper, cluster analytical techniques are used to examine dimensions of diversification in UK commercial property markets. A variety of techniques are used on a dataset which contains property returns for 156 property markets (67 retail locations, 64 office locations and 25 industrial locations). The results strongly suggest that property type is the most important dimension in determining different market behaviour. There is also evidence of a geographical factor, but one which does not conform to the conventional 11-region administrative classification but rather suggests a London factor.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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