Stochastic Discounting, Aggregate Claims, and the Bootstrap

Obtaining good estimates for the distribution function of random variables like S=∑i=1 ∞Z1⋯ ZiYi('perpetuity') and SN(t)=∑i=1 N(t)Yi('aggregate claim amount'), where the (Yi), (Zi) are independent i.i.d. sequences and (N(t)) is a general point process,...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Advances in Applied Probability. - Applied Probability Trust. - 26(1994), 1, Seite 183-206
1. Verfasser: Aebi, M. (VerfasserIn)
Weitere Verfasser: Embrechts, P., Mikosch, T.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 1994
Zugriff auf das übergeordnete Werk:Advances in Applied Probability
Schlagworte:Bootstrap Perpetuity Probability metrics Risk theory Stochastic discounting Mathematics Economics
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520 |a Obtaining good estimates for the distribution function of random variables like S=∑i=1 ∞Z1⋯ ZiYi('perpetuity') and SN(t)=∑i=1 N(t)Yi('aggregate claim amount'), where the (Yi), (Zi) are independent i.i.d. sequences and (N(t)) is a general point process, is a key question in insurance mathematics. In this paper, we show how suitably chosen metrics provide a theoretical justification for bootstrap estimation in these cases. In the perpetuity case, we also give a detailed discussion of how the method works in practice. 
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