Economic Modelling

Current Issues in Life Assurance – Mortality in 2020 is now dominated by one thing, although – in our future-focused world – the pandemic is just one of many mortality considerations.  In this session, three well-regarded mortality/longevity specialists provide an overview of implications and impacts of COVID-19, recent and imminent CMI developments and more 'future focused' work in the MRSC

Because of Covid-19, forecasters predict a severe recession in 2020, followed by a V or U-shaped recovery. This impacts both individuals and companies. However, compared to previous recessions, the impact on banks of higher credit losses should be mitigated to some extent by government actions. 

Many actuaries consider career opportunities in the Finance and Investment practice area after having started off in more traditional actuarial roles such as valuations, capital management or pricing. This session is aimed at helping actuaries to better understand roles in Finance and Investment and how they can fine tune their skills to pursue such careers.

Insurers are making increasing use of medical research to help with assumption, models and underwriting. Experienced mortality/ longevity specialists discuss the issues in the interpretation of  medical research papers, using a range of case studies. The case studies will include COVID-19 points of current importance. Many of the concepts discussed (data bias, inference of causation) are also applicable to equivalent questions in 'big data' and advanced analytics.

Predictive risk assessment and risk stratification models based on postcode-level consumer classification are widely used for life insurance underwriting. However, these are socio-economic models not directly related to health information. Similar to precision medicine, precision life insurance should aim to tailor policy pricing/reserving to the individual health characteristics of each client.

Over the past decades, many countries have exhibited mortality rates approximately following a piecewise linear law. This is visible in the form of steady improvements over multiple years, followed by a rather abrupt trend change, and then again stable improvements according to the new trend.

Current Issues in Life Assurance – Join us for an exploration session on the use of data science in insurance companies today including how insurers are making sense of and using new data sources and technologies, exploration of practical applications of data science within actuarial work, benefits of data-driven decisions to solve business problems using the power of data and technology, and the role that actuaries can play to harness the benefits of data science.

Current Issues in Life Assurance.

The International Association of Insurance Supervisors announced on 14 November 2019 the adoption of v2.0 of the global Insurance Capital Standard (ICS) which will undergo confidential reporting for 5 years starting from 2020. This session will include specific experiences from Legal and General (L&G) as well as global industry perspectives from EY.

On 25 June the International Accounting Standards Board published Amendments to IFRS 17, the Insurance Contracts global accounting standard effective 1 January 2023.

Part of the Protection, Health and Care Conference 2020 webinar series. Using new and unique research and data from the UK, US, Sweden and China, this presentation investigates how consumers use the internet through their insurance journey and analyzes the role culture and generation plays in their online behaviour. We use this research to show the online landscape for insurance sales in the UK and suggest ways to shape new products and effectively engage with the consumer who is buying them.

Our presentation will examine the challenges arising in setting mortality improvement assumptions, exposing known but under-explored vulnerabilities of current practices. 

The working party will help the industry to update and enhance how potential risk from diabetes and excess mortality is considered, including the need to understand the underwriting implications as treatments improve, and potentially to develop new products that are tailored to those with diabetes.

Part of the Protection, Health and Care Conference 2020 webinar series. Modelling the structure and trends of cancer morbidity risk is important for pricing and reserving in related health insurance fields such as critical illness insurance and care provision. We model the dynamics of cancer incidence over time in different regions in England, using 1981-2016 ONS data. The modelling allows estimation of cancer rates at various age, year, gender and region levels, following a Bayesian setting to account for statistical uncertainty. Our analysis indicates significant regional variation in cancer incidence rates.