Large deviations for truncated heavy-tailed random variables: a boundary case
Arijit Chakrabarty

TL;DR
This paper studies the probability decay rates for sums of truncated heavy-tailed variables exceeding a threshold, focusing on the boundary case where the sum surpasses an integer multiple of the truncation point, using novel estimation techniques.
Contribution
It introduces a new approach for analyzing large deviations in the boundary case of truncated heavy-tailed sums, differing from previous methods for non-integer multiples.
Findings
Derived sharper estimates for boundary large deviations
Established decay rate formulas specific to the boundary case
Enhanced understanding of tail behavior in truncated heavy-tailed sums
Abstract
This paper investigates the decay rate of the probability that the row sum of a triangular array of truncated heavy tailed random variables is larger than an integer (k) times the truncating threshold, as both - the number of summands and the threshold go to infinity. The method of attack for this problem is significantly different from the one where k is not an integer, and requires much sharper estimates.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Probability and Risk Models · Financial Risk and Volatility Modeling
