Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/167911 
Erscheinungsjahr: 
2017
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[Journal:] Risks [ISSN:] 2227-9091 [Volume:] 5 [Issue:] 1 [Publisher:] MDPI [Place:] Basel [Year:] 2017 [Pages:] 1-14
Verlag: 
MDPI, Basel
Zusammenfassung: 
Well-behaved densities are typically log-convex with heavy tails and log-concave with light ones. We discuss a benchmark for distinguishing between the two cases, based on the observation that large values of a sum X1 + X2 occur as result of a single big jump with heavy tails whereas X1,X2 are of equal order of magnitude in the light-tailed case. The method is based on the ratio X1 - X2/(X1 + X2 ), for which sharp asymptotic results are presented as well as a visual tool for distinguishing between the two cases. The study supplements modern non-parametric density estimation methods where log-concavity plays a main role, as well as heavy-tailed diagnostics such as the mean excess plot.
Schlagwörter: 
heavy-tailed
log-concave
mean excess function
principle of a single big jump
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