There are growing concerns for reserves estimation of incurred but not reported (IBNR) claims in actuarialsciences. In this paper, we propose a copula-based dependency model to capture the relationship betweentwo main IBNR reserve variables, i.e., “time between two successive occurrences” and “delay time”.A maximum likelihood (MLE) method is used estimate parameters model. Asimulation study con...

Accurate loss reserves are essential for insurers to maintain adequate capital and to efficiently price their insurance products. Loss reserving for Property & Casualty (P&C) insurance is usually based on macro-level models with aggregate data in a run-off triangle but many limitations exist in these models despite of their simplicity. A run-off triangle is a summary of underlying individual cl...

Abstract We present a claims reserving technique that uses claim-specific feature and past payment information in order to estimate reserves for individual reported claims. design one single neural network allowing us expected future cash flows every claim. introduce consistent way of using dropout layers fit the incomplete time series payments. A proof concept is provided by applying this mode...

Abstract This paper outlines frameworks to use for reserving validation and gives the reader an overview of current techniques being employed. In experience authors, many companies lack embedded reserve framework can appear piecemeal unstructured. The a case study demonstrating how successful machine learning will become then goes on discuss implications future departments, processes, data tech...