Reshaping superannuation practice in Australia using big data analytics

使用大数据分析重塑澳大利亚的退休金实践

• 批准号: LP170100891
• 负责人: Prof Guandong Xu
• 金额: $ 29.39万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-09-04 至 2021-09-03
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP170100891
• 关键词: Reshaping; superannuation; practice; Australia; using

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.

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。