Acs3074 Reseacrh Project| Chain-Ladder Assessment Answer
The topic for the research project has been approved. If you are okay with the topic then we may proceed for discussion. And you may enroll the subject. Title 2: Machine learning methods applied to chain-ladder reserving Supervisor: Dr. Ang Siew Ling Abstract. Traditional reserving methods in non-life insurance such as chain-ladder and Bornhuetter-Ferguson which been used in past decades of actuarial practice have worked well at an aggregate level to calculate appropriate reserve provisions. In recent years, a new set of literature has considered individual claims data and proposed parametric reserving models based on claim history profiles. In this research, we focus on the potential of machine learning methods in calculating reserving estimation by using individual claim data. A brief introduction to the problem of reserve estimation in non-life insurance will be presented. Furthermore, we will describe the algorithms behind some of the fundamental machine learning methods in reserve estimation. The performance of the machine learning methods in reserving estimation will be summarised. Keywords: loss reserving, , chain-ladder, machine learning Work is done half, wish to know the price to continue another half
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