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SUMMARY:Aggregating regularly varying vectors: phenomena of a few large ju
 mps - Bikramjit Das (Singapore University of Technology and Design)
DTSTART:20240424T141500Z
DTEND:20240424T150000Z
UID:TALK214195@talks.cam.ac.uk
DESCRIPTION:The tail behavior of sums of heavy-tailed (regularly varying) 
 random vectors is known to follow the so-called principle of &lsquo\;one l
 arge jump&rsquo\;. We establish that\, in fact\, a more general principle 
 may hold. Assuming that the random vectors are multivariate regularly vary
 ing on various subcones of the positive quadrant\, first we show that thei
 r aggregates are also multivariate regularly varying on these subcones. Th
 is allows us to approximate certain tail probabilities which are rendered 
 asymptotically negligible under classical regular variation\, despite the 
 &lsquo\;one large jump&rsquo\; asymptotics. We also discover that dependin
 g on the structure of the tail event of concern\, the tail behavior of the
  aggregates may be characterized by more than a single large jump. We disc
 uss extensions of the result to multivariate L&eacute\;vy processes. The r
 esults are used to compute asymptotic behaviour of ruin probabilities in t
 he context of insurance portfolios.\nBased on joint work with: Vicky Fasen
 -Hartmann
LOCATION:External
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