Micro-level stochastic loss reserving for general insurance
From MaRDI portal
Publication:4576873
DOI10.1080/03461238.2012.755938zbMath1401.91091OpenAlexW2154996067MaRDI QIDQ4576873
Publication date: 11 July 2018
Published in: Scandinavian Actuarial Journal (Search for Journal in Brave)
Full work available at URL: https://lirias.kuleuven.be/handle/123456789/349102
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (51)
Stochastic loss reserving using individual information model with over-dispersed Poisson ⋮ NEW LOSS RESERVE MODELS WITH PERSISTENCE EFFECTS TO FORECAST TRAPEZOIDAL LOSSES IN RUN-OFF TRIANGLES ⋮ A micro-level claim count model with overdispersion and reporting delays ⋮ A hierarchical reserving model for reported non-life insurance claims ⋮ Claims reserving in the presence of excess-of-loss reinsurance using micro models based on aggregate data ⋮ Stochastic model to evaluate the fair value of motor third-party liability under the direct reimbursement scheme and quantification of the capital requirement in a Solvency II perspective ⋮ Asymptotic behaviors of stochastic reserving: aggregate versus individual models ⋮ Stochastic Loss Reserving in Discrete Time: Individual vs. Aggregate Data Models ⋮ JOINT MODEL PREDICTION AND APPLICATION TO INDIVIDUAL-LEVEL LOSS RESERVING ⋮ A COLLECTIVE RESERVING MODEL WITH CLAIM OPENNESS ⋮ A marked Cox model for the number of IBNR claims: theory ⋮ Modeling the occurrence of events subject to a reporting delay via an EM algorithm ⋮ FITTING MIXTURES OF ERLANGS TO CENSORED AND TRUNCATED DATA USING THE EM ALGORITHM ⋮ Valuing multirisk catastrophe reinsurance based on the Cox-Ingersoll-Ross (CIR) model ⋮ Collective reserving using individual claims data ⋮ Double chain ladder, claims development inflation and zero-claims ⋮ Modeling catastrophic deaths using EVT with a microsimulation approach to reinsurance pricing ⋮ Berry-Esseen bounds for compound-Poisson loss percentiles ⋮ Analysis of IBNR claims in renewal insurance models ⋮ Robust bootstrap procedures for the chain-ladder method ⋮ Machine learning in individual claims reserving ⋮ Modelling censored losses using splicing: a global fit strategy with mixed Erlang and extreme value distributions ⋮ Transaction time models in multi-state life insurance ⋮ A censored copula model for micro-level claim reserving ⋮ The collective reserving model ⋮ Leveraging high-resolution weather information to predict hail damage claims: a spatial point process for replicated point patterns ⋮ Individual claims reserving using activation patterns ⋮ Continuous chain-ladder with paid data ⋮ Regression based reserving models and partial information ⋮ Reserving by Conditioning on Markers of Individual Claims: A Case Study Using Historical Simulation ⋮ Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks ⋮ Infinitely stochastic micro reserving ⋮ An individual loss reserving model with independent reporting and settlement ⋮ Modeling the number of hidden events subject to observation delay ⋮ Collective loss reserving with two types of claims in motor third party liability insurance ⋮ A New Class of Severity Regression Models with an Application to IBNR Prediction ⋮ Explicit moments for a class of micro-models in non-life insurance ⋮ COMPOUND POISSON CLAIMS RESERVING MODELS: EXTENSIONS AND INFERENCE ⋮ Micro-level parametric duration-frequency-severity modeling for outstanding claim payments ⋮ On the modelling of multivariate counts with Cox processes and dependent shot noise intensities ⋮ On the relationship between classical chain ladder and granular reserving ⋮ A MARKED COX MODEL FOR THE NUMBER OF IBNR CLAIMS: ESTIMATION AND APPLICATION ⋮ A TREE-BASED ALGORITHM ADAPTED TO MICROLEVEL RESERVING AND LONG DEVELOPMENT CLAIMS ⋮ An individual claims reserving model for reported claims ⋮ Neural networks applied to chain-ladder reserving ⋮ In-sample forecasting applied to reserving and mesothelioma mortality ⋮ Estimating IBNR claim counts using different levels of data aggregation ⋮ FUNCTIONAL PROFILE TECHNIQUES FOR CLAIMS RESERVING ⋮ Stochastic reserving using policyholder information via EM algorithm ⋮ On Fitting Dependent Nonhomogeneous Loss Models to Unearned Premium Risk ⋮ Fitting Censored and Truncated Regression Data Using the Mixture of Experts Models
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Semiparametric model for prediction of individual claim loss reserving
- Applying copula models to individual claim loss reserving methods
- Paid-incurred chain claims reserving method
- Modelling zeros in stochastic reserving models.
- The statistical analysis of recurrent events.
- Double Chain Ladder
- Stochastic projection for large individual losses
- Predictive Distributions for Reserves which Separate True IBNR and IBNER Claims
- An Individual Claims Reserving Model
- Prediction of Outstanding Liabilities II. Model Variations and Extensions
- A Robustification of the Chain-Ladder Method
This page was built for publication: Micro-level stochastic loss reserving for general insurance