Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling

可再生能源和金融资源市场的投资方法和机会，使用半参数方法进行演化子集时间序列格梯建模

• 批准号: LP0989811
• 负责人: Prof Terence O'Neill
• 金额: --
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-06-30 至 2013-06-29
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0989811
• 关键词: Investment; approaches; opportunities; renewable; energy

The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in the service industries. It is not well recognised that in developed countries, including Australia, the financial service and related sectors account for more than 60 percent of economic activity and employment, so it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial service and related sectors.

该项目的发现将帮助澳大利亚出口商和进口商更有效地理解和管理能源和资源价格风险。投资界将通过选择最佳资产分配并增强对投资者的价值而受益。它也将使许多其他机构受益，尤其是在服务行业中。众所周知，在包括澳大利亚，金融服务及相关部门在内的发达国家占经济活动和就业的60％以上，因此必须建立更复杂的统计方法并进行实际应用，以促进对金融服务和相关部门的复杂性管理的理解，这一点至关重要。