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Tail Parameters of Stable Distributions Using One Million Observations of Real Estate Returns from Five Continents

Michael SteinDaniel PiazoloStoyan V. Stoyanov

出版	RUB, Department of Economics, 2013
ISBN	38678852579783867885256
URL	http://books.google.com.hk/books?id=PxtBuwEACAAJ&hl=&source=gbs_api

註釋This study focuses on global real estate return distributions. For our analysis, we employ the class of stable distributions that has become prominent in the real estate literature. We add to the literature by undertaking a global-scale analysis for the first time. By using data since the early 1990s, we show that there is considerable variation in the tail weights of return distributions, both between countries as well as among sectors within the countries. It is important to note that the tail parameters vary over time as well. Our results strengthen the recently discovered notion about non-constant tail parameters in stable distributions, which contradicts earlier findings about constant tail parameters. Additionally, we argue that merely changes over time were to be discovered, rather than pure methodological facts driving the variation, which is in contrast to the initial assumption associated with constant tail parameters. Our results provide an extensive overview of the tailedness of global real estate markets and offer a comprehensive insight into differing market distributions.