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Research Topic : risk factor
Field of Research : Stochastic Analysis and Modelling
Australian State/Territory : NSW
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  • Funded Activity

    Discovery Projects - Grant ID: DP170102275

    Funder
    Australian Research Council
    Funding Amount
    $350,000.00
    Summary
    Retirement income product innovation. This project aims to develop and assess comprehensive retirement income products to support sustainable retirement income streams for the Australian superannuation system. It will provide a framework to develop flexible structured retirement income products, taking into account the fair and effective allocation of costs and risks. Actuarial and financial analysis will highlight savings in Age Pension and aged care costs arising from more effective design of .... Retirement income product innovation. This project aims to develop and assess comprehensive retirement income products to support sustainable retirement income streams for the Australian superannuation system. It will provide a framework to develop flexible structured retirement income products, taking into account the fair and effective allocation of costs and risks. Actuarial and financial analysis will highlight savings in Age Pension and aged care costs arising from more effective design of retirement income products incorporating investment and longevity risk. It intends to develop risk sharing retirement products, risk management strategies, and longevity index-based hedging contracts to share and mitigate financial and longevity risk.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100615

    Funder
    Australian Research Council
    Funding Amount
    $334,000.00
    Summary
    Shock model-based framework for modelling correlated large losses. This project aims to develop aggregate risk models by utilizing shock models in reliability theory. It intends to provide a new alternative approach which is more realistic and also mathematically tractable in order to estimate various types of quantities in (re)insurance and operational risk management. The expected outcome includes enhanced capacity by advanced analytical tools to assess correlated and large risks, thus assisti .... Shock model-based framework for modelling correlated large losses. This project aims to develop aggregate risk models by utilizing shock models in reliability theory. It intends to provide a new alternative approach which is more realistic and also mathematically tractable in order to estimate various types of quantities in (re)insurance and operational risk management. The expected outcome includes enhanced capacity by advanced analytical tools to assess correlated and large risks, thus assisting in the management of key risks and improving the effectiveness of risk management. This should benefit the stability of the financial and regulatory systems where large and dependent risks are concerned.
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    Showing 1-2 of 2 Funded Activites

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