词条 | Tail dependence |
释义 |
In probability theory, the tail dependence of a pair of random variables is a measure of their comovements in the tails of the distributions. The concept is used in extreme value theory. Random variables that appear to exhibit no correlation can show tail dependence in extreme deviations. For instance, it is a stylized fact of stock returns that they commonly exhibit tail dependence.[1] DefinitionThe lower tail dependence is defined as[2] where , that is, the inverse of the cumulative probability distribution function for q. The upper tail dependence is defined analogously as See also{{Portal|Statistics}}
References1. ^{{cite journal|last1=Hartmann|first1=Philip|last2=Straetmans|first2=Stefan T.M.|last3=De Vries|first3=Casper G.|title=Asset Market Linkages in Crisis Periods|journal=Review of Economics and Statistics|date=2004|volume=86|issue=1|pages=313–326|doi=10.1162/003465304323023831|url=http://repository.tue.nl/548705}} {{Statistics|descriptive}}{{DEFAULTSORT:Tail depenende}}{{probability-stub}}2. ^{{Citation | last = McNeil | first = Alexander J. | last2 = Frey | first2 = Rüdiger | last3 = Embrechts | first3 = Paul | title = Quantitative Risk Management. Concepts, Techniques and Tools | place = Princeton, NJ | publisher = Princeton University Press | series = Princeton Series in Finance | year = 2005 | url = https://books.google.com/books?id=f5J_OZPeq50C | isbn = 978-0-691-12255-7 | mr = 2175089 | zbl = 1089.91037}} 3 : Covariance and correlation|Independence (probability theory)|Theory of probability distributions |
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