Kalman-Bucy Filtering for Linear Systems Driven by the Cox Process with Shot Noise Intensity and Its Application to the Pricing of Reinsurance Contracts
DOI10.1239/jap/1110381373zbMath1076.62093OpenAlexW2020850534MaRDI QIDQ5312843
Publication date: 25 August 2005
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1239/jap/1110381373
Gaussian processCox processshot noise processstop-loss reinsurance contractKalman--Bucy filterpiecewise-deterministic Markov process theory
Inference from stochastic processes and prediction (62M20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Central limit and other weak theorems (60F05) Signal detection and filtering (aspects of stochastic processes) (60G35) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (17)
Cites Work
- On Cox processes and credit risky securities
- Aspects of risk theory
- Doubly stochastic Poisson processes
- Pricing of catastrophe reinsurance and derivatives using the Cox process with shot noise intensity
- Explosive Poisson shot noise processes with applications to risk reserves
- The virtual waiting-time and related processes
- Martingales and insurance risk
- Generalized Poisson Models and their Applications in Insurance and Finance
- Conditional Poisson processes
- Stochastic differential equations. An introduction with applications.
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