CMI Working Papers 38 and 39

This paper outlines key frameworks for reserving validation and techniques employed. Many companies lack an embedded reserve validation framework and validation is viewed as piecemeal and unstructured.  The paper outlines a case study demonstrating how successful machine learning techniques will become and then goes on to discuss implications.  The paper explores common validation approaches and their role in enhancing governance and confidence.

The IFoA Policy Briefing 'Can we help consumers avoid running out of money in retirement' examined the benefits of blending a lifetime annuity with income drawdown. Panellists, including providers and advisers, will look at the market practicalities of taking the actuarial theory through into the core advice propositions used by IFAs and Fund Managers. They will share a number of practical issues such as investment consequences before and after retirement and the level of annuity that is appropriate and answer questions from the audience.

Pension scams have become more prevalent as a result of the pandemic, and Trustees have increased responsibilities to protect members, which means that actuaries need to be in a position to provide advice in this area. Our specialist panel will include a professional trustee, an IFA and head administrator, two of whom are members of PASA.

In this webinar, the authors of the 2021 Brian Hey prize winning paper present a new deep learning model called the LocalGLMnet. While deep learning models lead to very competitive regression models, often outperforming classical statistical models such as generalized linear models, the disadvantage is that deep learning solutions are difficult to interpret and explain, and variable selection is not easily possible.