Tail dependence
   HOME

TheInfoList



OR:

In probability theory, the tail dependence of a pair of
random variable A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which depends on random events. It is a mapping or a function from possible outcomes (e.g., the po ...
s 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.


Definition

The lower tail dependence is defined as : \lambda_\ell = \lim_ \operatorname(X_2 \le F_2^(q) \mid X_1 \le F_1^(q)). where F^(q)= \, that is, the inverse of the cumulative probability distribution function for ''q''. The upper tail dependence is defined analogously as : \lambda_u = \lim_ \operatorname(X_2 > F_2^(q) \mid X_1 > F_1^(q)).


See also

*
Correlation In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the broadest sense, "correlation" may indicate any type of association, in statistic ...
* Dependence


References

Covariance and correlation Independence (probability theory) Theory of probability distributions {{probability-stub