Second-Order Tail Behavior for Stochastic Discounted Value of Aggregate Net Losses in a Discrete-Time Risk Model
Yang Yang (),
Shuang Liu () and
Kam Chuen Yuen ()
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Yang Yang: Nanjing Audit University
Shuang Liu: Nanjing Audit University
Kam Chuen Yuen: The University of Hong Kong
Journal of Theoretical Probability, 2022, vol. 35, issue 4, 2600-2621
Abstract:
Abstract Consider a discrete-time risk model, in which an insurer makes both risk-free and risky investments. Within period k, the net loss is denoted by a real-valued random variable $$X_k$$ X k , and the stochastic discount factor is a bounded positive random variable $$Y_k$$ Y k . Assume that $$(X_k,Y_k), k\in {\mathbb {N}}$$ ( X k , Y k ) , k ∈ N , form a sequence of independent and identically distributed random pairs following a common bivariate Farlie–Gumbel–Morgenstern distribution with marginal distributions F on $${\mathbb {R}}$$ R and G on [a, b], respectively, for some $$0
Keywords: Second-order expansion; Discrete-time risk model; Tail probability of aggregate net loss; Second-order subexponential distribution; Farlie–Gumbel–Morgenstern distribution; Primary 62P05; Secondary: 62E10; 91B30 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10959-021-01143-z
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