Paper: arXiv 2501.02545
Authors: Bingzhen Genga, Shijie Wanga, Yang Yang
Abstract
This paper investigates the second order asymptotic expansion for tail probabilities of discounted aggregate claims in continuous-time renewal risk models with constant interest force. Concretely, two types of continuous-time renewal risk models without and with by-claims are separately discussed. By constructing the asymptotic theory and weighted Kesten-type inequality of randomly weighted sums for second order subexponential random variables, second order asymptotic formulae for these two risk models are firstly built. In comparison of the first order asymptotic formulae, our results are more superior and precise, which are demonstrated by some simple numerical studies.
Complexity vs Empirical Score
- Math Complexity: 8.5/10
- Empirical Rigor: 2.5/10
- Quadrant: Lab Rats — theoretically deep, empirically untested
Why this score: The paper provides rigorous mathematical proofs for second-order asymptotic expansions in continuous-time renewal risk models with second-order subexponential claims. However, it is primarily a theoretical actuarial probability paper with minimal empirical or backtesting content beyond simple illustrative numerical simulations.
Research Flowchart
flowchart TD
A[Goal: Derive second-order asymptotic tail probabilities for discounted aggregate claims] --> B[Inputs: Continuous-Time Renewal Risk Models<br><i>with & without by-claims</i>]
B --> C[Construct Asymptotic Theory &<br>Weighted Kesten-Type Inequality]
C --> D[Analyze Randomly Weighted Sums for<br>Second-Order Subexponential RVs]
D --> E[Perform Numerical Validation Studies]
E --> F[Outcome: Highly Precise Second-Order<br>Asymptotic Formulae Outperforming First-Order Models]
Cited References (37)
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and 29 more
- Second order asymptotics for ruin probabilities of the delayed renewal risk model with heavy-tailed claims (2019) — link
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0 of 37 cited works are in the corpus; resolved via arXiv source bundles, Semantic Scholar and OpenAlex. Corpus-wide: 2518 linked papers.