Innovative Reserving process in non-life insurance:
a challenge for Risk Management
Recent surveys carried out among various market players have shown that aggregated reserving methodologies remain preferred in the calculations. of non-life insurance reserves.
However, the recent development of Machine Learning in actuarial sciences allows the emergence of new visions of claims and show a growing interest in new ways to estimate reserve based on individual assessment.
This presentation presents a new way to integrate these methods by the actuarial reserving team to produce a complete and innovated process.
Data Quality Data Analysis Segmentation Reserving : ASICR methodology
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