Continuous Mortality Investigation

Continuous Mortality Investigation
Name	Continuous Mortality Investigation
Formation	1921
Type	Research committee
Headquarters	London
Leader title	Chair

Contents

Continuous Mortality Investigation

The Continuous Mortality Investigation is a British actuarial research committee that collects, analyses, and publishes mortality and longevity data used by Institute and Faculty of Actuaries, Royal Statistical Society, University College London, London School of Economics, and insurers such as Prudential plc, Aviva, Legal & General for setting life assurance and pension assumptions. Founded in the early twentieth century, it has influenced work at institutions including City University London, University of Cambridge, University of Oxford, Bank of England and has informed reports by bodies such as the Office for National Statistics, Financial Conduct Authority, International Association of Insurance Supervisors and Organisation for Economic Co-operation and Development.

History

The committee was established after discussions involving figures from Institute of Actuaries (Great Britain), Faculty of Actuaries, and practitioners associated with Prudential Assurance Company and Scottish Widows following mortality crises that affected firms like Sun Life Financial and governments during events comparable in scale to the Spanish flu pandemic and later developments shaped by research from scholars at King's College London and Imperial College London. Early methodological influences included work by statisticians associated with Royal Society meetings and actuarial leaders who had trained at Trinity College, Cambridge and New College, Oxford. Through the twentieth century the committee interacted with committees convened by Ministry of Health (United Kingdom), National Health Service (England), and contributed to analysis comparable to inquiries such as the Fowler Commission and reporting styles found in publications from the Journal of the Institute of Actuaries and the British Medical Journal.

The objectives include producing mortality tables and improvement scales used by pension funds such as Railways Pension Scheme and by insurers like Standard Life and Hastings Direct. The scope covers cohorts and period analyses drawing on data relevant to regulators including the Prudential Regulation Authority, Financial Reporting Council, and international standards bodies such as the International Accounting Standards Board. Outputs serve actuaries working with firms including AXA, Zurich Insurance Group, MetLife, and consulting firms like Mercer (company), Willis Towers Watson, and Aon plc.

Methodological approaches combine life-table construction, graduation, and stochastic modelling informed by techniques developed in academic centres such as Columbia University, Harvard University, Massachusetts Institute of Technology, Stanford University, and European research from École Polytechnique, ETH Zurich, and University of Bern. The committee employs statistical models inspired by work associated with Ronald A. Fisher-type likelihood approaches, time-series methods akin to those by researchers at Princeton University, and Bayesian approaches linked to scholars at University of Chicago. Techniques reference mortality improvement models similar in spirit to work by Nathan Keyfitz and demographers from International Institute for Population Sciences-style research. Outputs include graduated tables, standard deviation estimates, cohort analyses and scenario projections used by practitioners from Barnett Waddingham and KPMG.

Primary data are drawn from insurers' in-force and claims records, administrative registers like those maintained historically by the General Register Office (United Kingdom), contemporary feeds from Office for National Statistics and anonymised datasets used by researchers at University of Manchester, University of Glasgow, and University of Edinburgh. Quality assurance processes reference standards comparable to those of ISO 9001 and audit practices used by PricewaterhouseCoopers, Deloitte, and Ernst & Young. Peer review involves external experts from bodies including Royal Statistical Society, Academy of Medical Sciences, and academic referees from London Mathematical Society.

The committee issues technical reports, mortality tables, and improvement scales cited alongside publications from Journal of Risk and Insurance, British Actuarial Journal, and working papers from National Bureau of Economic Research. Outputs have been incorporated into guidance by Pensions Regulator (United Kingdom), actuarial practice notes of the Institute and Faculty of Actuaries, and model guidance used by firms such as Hannover Re and Swiss Re. Historic series and tabulations have been used in studies by research centres like Centre for Population Studies and analysts at Goldman Sachs.

The committee's work has directly influenced valuation assumptions adopted by insurers such as Phoenix Group and helped shape longevity hedging instruments traded by banks like Barclays and HSBC. It has informed regulatory capital models overseen by Bank of England and international solvency frameworks resembling Solvency II. Academic curricula at Cass Business School and professional syllabi for the Institute and Faculty of Actuaries reference its tables; consulting practices at Mercer (company), Willis Towers Watson, and Aon plc draw upon its data for advising clients including Royal Mail and National Health Service (England) pension schemes.

Governance involves representation from actuarial firms, life insurers, and academics drawn from institutions like University of Southampton, University of Leeds, University of Bristol, and Queen Mary University of London. Chairs and committee members have come from industry leaders associated with Prudential plc, Legal & General, Standard Life, and consulting firms such as Mercer (company) and Willis Towers Watson. Oversight mechanisms mirror committee structures found at Institute and Faculty of Actuaries and liaise with regulators such as the Financial Conduct Authority and Prudential Regulation Authority.