A discrete-time risk model with Poisson ARCH claim-number process
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Publication:5077476
DOI10.1080/03610926.2019.1594296OpenAlexW2759256623MaRDI QIDQ5077476
Mi Chen, Jiahui Li, Kam-Chuen Yuen
Publication date: 18 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2019.1594296
ruin probabilityadjustment coefficientdiscrete-time risk modelPoisson ARCH processinteger-valued time series
Cites Work
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- Ruin probability in a correlated aggregate claims model with common Poisson shocks: application to reinsurance
- A time-series risk model with constant interest for dependent classes of business
- Exponential smoothing and credibility theory
- The probability of ruin in a process with dependent increments
- The linear model revisited
- Asymptotic ruin probabilities for risk processes with dependent increments.
- A Cox process with log-normal intensity.
- Estimating the adjustment coefficient in an ARMA\((p,q)\) risk model
- Risk models based on time series for count random variables
- Ruin probabilities in Cox risk models with two dependent classes of business
- Poisson Autoregression
- Ruin probabilities and aggregrate claims distributions for shot noise Cox processes
- Integer-Valued GARCH Process
- Discrete-Time Risk Models Based on Time Series for Count Random Variables
- Some ARMA models for dependent sequences of poisson counts
- Exponential inequalities for ruin probabilities in the Cox case
- Rough descriptions of ruin for a general class of surplus processes
- Optimal reinsurance under adjustment coefficient measure in a discrete risk model based on Poisson MA(1) process
- FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
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