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Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients

Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients
ATO 客户的财务困境、税收债务和破产的分类和预测模型
批准号:
LP0561985
负责人:
Prof Mehmet Orgun
金额:
$5.95万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Linkage Projects
财政年份:
2006
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2006-03-31 至 2011-07-30

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中文摘要
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英文摘要
The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.
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Foundations of Executable Temporal Logic
  • 批准号:
    DP0211573
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $3.41万
  • 财政年份:
    2002
  • 负责人:
    Prof Mehmet Orgun
  • 依托单位:
海外基金