Reshaping superannuation practice in Australia using big data analytics

该项目旨在改革澳大利亚的养老金投资实践。使用复杂的数据分析和机器学习技术，结合经济建模和定量金融。该项目将试图从“大数据”的角度了解澳大利亚养老金投资者的广泛特征及其实践。这一项目的预期成果是确定成功的养老金行为的关键决定因素，以便为更好的养老金做法和政策的决策提供信息。预计该项目产生的见解将有助于保障澳大利亚养老金计划的未来，并改善退休后的财务保障。

This project aims to reform superannuation investment practices in Australia. Using sophisticated data analytics and machine-learning techniques, combined with economic modelling and quantitative finance. The project will try to understand the broad characteristics of Australian superannuation investors and their practice from a ‘big data’ perspective. The expected outcomes of this project are the identification of key determinants for successful superannuation behaviour to inform decision-making for better superannuation practices and policies. It is expected that the insights arising from this project will contribute to safeguarding the future of Australia’s superannuation schemes, and to better financial security at retirement.