Members of the Actuarial Profession may find the Colloquium a useful contribution to their Continuing Professional Development needs.  The total hours of CPD claimable for the Colloquium are 15 hours.

 Accommodation and Social Events

A variety of city-centre hotels will be available at different price levels. An expansive leisure programme for members and partners is being finalised and will include:

  • Welcome Civic Reception & Buffet Supper in the Sculpture Hall at Manchester Town Hall
  • Dinner in the The Great Hall at Manchester Town Hall
  • Group Excursion to Tatton Park and the historic city of Chester (to be confirmed)
  • Gala Dinner at the Imperial War Museum North

Accompanying Persons’ Trips (all trips subject to finalisation)

  • Guided City Tour
  • Lowry Gallery & Lowry shopping outlet at Salford Quays
  • Urbis (an exhibition centre focusing on city life) & walking tour
  • Lyme Park



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Welcome to Manchester

Full Programme Now Available

What is ASTIN?

ASTIN is the section of the International Actuarial Association for non-life (or general insurance or property-casualty) actuaries and researchers worldwide and is the only actuarial organisation of its kind in the world. Its annual colloquium is the top international conference bringing together academics and practitioners with mutual interests in the field of non-life insurance and insurance enterprise risk management.

Continuing Professional Development:

Members of the Actuarial Profession can claim up to 15 hours of verifiable technical CPD.

Plenary Speakers:

Climate Change and its Impacts
This presentation will begin with a brief overview of the scientific basis for climate change and then go on to consider what aspects of the predictions of regional and local changes in climate we can be confident in, and where there is still much more research to be done. The focus will be on those impacts of climate change that are likely to be of particular interest to actuaries.
Professor Julia Slingo, Professor University of Reading

Accounting for Extreme-Value Dependence in Multivariate Data
Insurance claim data often exhibit fat-tail behavior. This phenomenon is well documented and can be analyzed by standard statistical tools. In contrast, extreme-value dependence in multivariate claim data or between financial assets is seldom recognized. This talk will describe how to test, measure and account for extreme dependence from a copula modeling perspective.
Professor Christian Genest, Laval University, Canada

Economic Capital, Enterprise Risk Management and Insurance Ratings
The presentation will review the objectives, standards and process that S&P’s is using to assess insurer economic capital models within the ratings evaluation. In addition, the sufficiency (or lack thereof) of economic capital within an ERM program as the sole metric of risk in the view of S&P's.
David Ingram, Standard & Poors New York

Breakout Sessions:

The breakout sessions will offer plenty of opportunities for discussions on the practical applications of the papers presented while still accommodating the theoretical debate for which ASTIN is well-known.

Some of the papers to be presented include:

• Experience Rating, Bonus-Malus and the Poisson Mixture Model
• Scenario Analysis for a Multiperiodic Diffusion Model of Risk
• On the Non-Life Solvency II Model
• A Dynamic Model of a Non-Life Insurance Portfolio
• Expected Shortfall of Claim Amounts: Some Practical Aspects
• Clustering in Ratemaking: with Application in Territories Clustering
• Measurement and Transfer of Catastrophic Risks
• Claim Severity Distributions Modelling
• Modelling the Claims Development Result
• A Reinsurance Pricing Tool for XL Reinsurance
• Give Credit where Credit is Due: Operational Risk Goes Bayesian
• Most Elegant Premium Formulas for the Most General Drop Down Excess of Loss Cover
• A Loss Reserving Method for Incomplete Claim Data


Claire Marsh
Conference Organiser

Tel:  +44 (0)20 7632 2147
Fax: +44 (0)20 7632 2141

The Actuarial Profession, London
Staple Inn Hall, High Holborn
London WC1V 7QJ