Randomly Weighted Sums of Subexponential Random Variables in Insurance and Finance Qihe Tang and
Randomly Weighted Sums of Subexponential Random Variables in Insurance and Finance Qihe Tang and
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发表时间:
2012
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通讯作者:
Zhongyi Yuan
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作者:
Zhongyi Yuan
We are interested in the tail behavior of the randomly weighted sum ∑n i=1 θiXi, in which the primary random variables X1, . . . , Xn are real valued, independent and subexponentially distributed, while the random weights θ1, . . . , θn are nonnegative and arbitrarily dependent, but independent of X1, . . . , Xn. For various cases, we prove that the tail probability of ∑n i=1 θiXi is asymptotically equivalent to the sum of the tail probabilities of θ1X1, . . . , θnXn, which complies with the principle of a single big jump. The results significantly improve the work of Tang and Tsitsiashvili (2003, Extremes). An application to capital allocation is proposed.