Aon Benfield is hosting its 13th Biennial Hazards Conference on the Gold Coast in Australia next week with the theme, ‘Think Outside the Risk’.
The Hazards Conference, which takes place from 22 to 24 September, aims to stimulate thinking among delegates about big picture trends, beyond the traditional types of risk the industry is familiar with such as cyclones or earthquakes. The conference also considers the measurement and mitigation of these increasingly complex sources of risk facing insurers in today’s rapidly changing world.
Conference topics include:
The impact of low probability, high consequence events including geomagnetic storms, pandemics and or a major disruption in food supply – Aon Benfield
Characteristics and consequences of a 1000-year volcanic eruption – Earth Observatory, Singapore
Enterprise risk management for extreme events – Coca-Cola Amatil, Australia
Cyber risks – implications for the insurance industry – SwissRe, China
The sessions are delivered by experts from academia, the insurance industry, government and the corporate world. One of the keynote speakers is Professor Warwick J. McKibbin, who is a Vice Chancellors Chair in Public Policy at the Australian National University, with more than 200 published academic papers. His presentation will explore insights from a global economic model that is used for scenario analysis by major corporations and governments. In particular he will focus on the crisis for Europe, Japanese policy reform and the global implications of the US recovery.
“The conference is a catalyst for discussion on the nature of risks facing the insurance industry in our region of Asia Pacific,” said Malcolm Steingold, CEO, Asia Pacific for Aon Benfield. “Understanding the change in demographics and economic drivers is critical when considering new insurance and reinsurance opportunities and planning how to manage that risk to enable profitable growth. Moving forward, effective risk management will entail a combination of advanced modelling tools and qualitative processes to identify risks not properly reflected in quantitative analysis.”