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UNSW School of Risk and Actuarial Studies is one of the largest actuarial groups in the world.

It is home to leading researchers in a wide range of areas, focusing on three primary areas: Risk (quantitative risk management, mortality, longevity and health risks, insurance risk modelling, climate change, AI/ML enhanced actuarial analytics, uncertainty); Insurance (general insurance, life insurance, insurance pricing, capital and reserving); and Superannuation (pension economics, retirement products, behavioural insights). The School has won high international recognition for its research excellence in these primary areas. In theÌý, the School is consistently ranked number 1 on the list of the top 50 business schools worldwide, based on research in actuarial science, risk management, and insurance.

The School is renowned for its interdisciplinarity. With key research strengths in these primary areas, the School has also made significant contributions to other related disciplines such as quantitative finance, data analytics, economics, operations research, probability, and statistics. This is evident from the School’s research publications in recent years.

The School has strong connections with the Australian insurance and superannuation industries, regulators, and government. It implements various strategies to develop and strengthen external relationships with industry partners, influence industry practices, and provide advice for regulators and government. The School has been extremely successful in obtaining external research funding through ARC discovery and linkage projects, as well as from professional actuarial bodies.

Associated with the School is the Innovations in Risk, Insurance, and Superannuation (IRIS) Knowledge Hub. The Hub is dedicated to industry-linked research and currently focuses on the following themes: Climate Change and Insurance; Financing Retirement; and AI and Digital Transformation for Insurance.

The School actively engages with the research community at both national and international levels byÌýorganisingÌýconferences and serving on the editorial boards of leading journals in the discipline. A few academic members from the School hold affiliations with the ARCÌýÌý(CEPAR) as leaders and chief/associate investigators.

The School sets its ambition to becomeÌýthe world’s leading institution in risk and actuarial studies.ÌýThis ambition aligns with the strategies of the Faculty and the University by producing world-leading research (Academic Excellence), establishing partnership with the financial and insurance industries (Social Engagement), and engaging with global knowledge networks (Global Impact).

Looking for a course coordinator or someone to help?Ìý
T: +61 (2) 9385 3391Ìý
·¡:Ìýrasadmin@unsw.edu.au

Successful grants

Staff within our school are regularly active in conducting research in a wide range of areas of insurance and actuarial science with a focus on modelling, measuring, and managing risks. The risk management and actuarial studies programs are also active at an international level in its research excellence.

  • Ìý

    Grant

    Recipients

    Title

    Amount

    2017-2023

    ARC Centre of Excellence in Population Ageing Research (CEPAR)

    Hazel Bateman, Michael Sherris
    (Joint CIs: J. Piggott, K. Anstey, M. Baird, F. Blythe, M. Keane, P. McDonald, W. McKibbin, S. Parker, A. Woodland)

    N/A

    AUD 27,250,000

    Ìý

    2017-2020

    ARC Discovery Project

    Ìý

    Michael Sherris, Jonathan Ziveyi

    (PI: A. Olivieri)

    Retirement income product innovation

    AUD 350,000

    Ìý

    2020-2023

    ARC Linkage Project

    Ìý

    Hazel Bateman

    (Joint CIs: S. Thorp, B. Newell, I. Dobrescu)

    Ìý

    Better communication to solve the under-saving, under-spending puzzle

    AUD 392,445

    2020-2023 ARC Discovery Project

    Qihe Tang, Bernard Wong

    (Joint CI: B. Avanzi, PI: J. Blanchet)

    Ìý

    Extreme value theory approaches to insurance in a catastrophic environment

    AUD 310,000

    Ìý

    2020-2023

    ARC Discovery Project

    Ìý

    Jae Kyung Woo, Eric Cheung

    (PIs: H. Albrecher, G.E. Willmot)

    Ìý

    Shock model-based framework for modelling correlated large losses

    Ìý

    AUD 334,000

    Ìý

    2020-2022

    ARC DECRA

    Ìý

    Yang Shen

    Ìý

    Demystifying puzzles in retirement planning

    AUD 420,039

    2021-2024

    ARC Discovery Project

    Jonathan Ziveyi, Yang Shen, Mike Sherris

    (Joint CI: J. Temple, PI: E. Pitacco)

    Forecasting and financing healthy ageing and aged care in Australia

    AUD 386,139

    Ìý

    2022-2024

    ARC Discovery Project

    Qihe Tang, Katja Ignatieva

    (Joint CI: H. Li, PI: H. Lam)

    Quantitative analysis of systemic risk in insurance

    AUD 378,292

    Ìý

  • Grant

    Recipients

    Title

    Amount

    2022-2025

    Orford Foundation

    Hazel Bateman, Katja Hanewald

    Investigating strategies that could enhance awareness, interest, understanding and take-up of lifetime annuities in Australia.

    AUD 525,000

    Ìý

  • Grant

    Recipients

    Title

    Amount

    2017-2020

    Society of Actuaries (SOA) Center of Actuarial Excellence Research Grant

    Ìý

    Mike Sherris, Jonathan Ziveyi, Andres Villegas

    Ìý

    Longevity Risk: Actuarial and Predictive Models, Retirement Product Innovation, and Risk Management Strategies

    USD 248,678

    Ìý

    2018-2019

    SOA Grant

    Andres Villegas

    (Joint CI: S. Haberman, M. Bajekal)

    Analysis of historical U.S. population mortality improvement drivers since 1950

    USD 50,000

    2018-2020

    CAE and SOA' CKER (Committee on Knowledge Extension Research) Grant

    Eric Cheung, Jae Kyung Woo (Lead)

    Ìý

    Credibility theory under a general dependency structure of risk profile

    USD 20,000

    2019-2020

    SOA Research Expanding Boundaries (REX) Funding Pool

    Yang Shen (Lead)

    (Joint CI: J. Su)

    Demystifying the annuity puzzle: The role of model uncertainty in strategic retirement planning

    USD 16,000

    Ìý

    2020-2021

    CAS CKER Grant

    Yang Shen

    (Lead: E. Furman, Joint CI: A. Fleck)

    A realistic risk dependence via general additive models: Effects of heavy-tailedness and dependence on loss reserving

    USD 24,000

    Ìý