项目名称: 基于最佳死亡率模型的长寿风险宏微观影响、管理策略及其有效性研究
项目编号: No.71501070
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 管理科学
项目作者: 贺磊
作者单位: 湖南师范大学
项目金额: 17.4万元
中文摘要: 本项目运用时变Copula和ARMA-EGARCH模型构建带相依结构、自相关和异方差结构的死亡率模型。采用我国人口死亡率数据运用对所构建模型进行拟合,并与现有主要死亡率模型进行对比,选择最佳死亡率模型。基于最佳死亡率模型运用精算原理、生命周期消费理论、世代交叠模型等理论与方法分析长寿风险在养老金、寿险公司等方面的微观影响以及对社会资本存量、消费等方面的宏观影响。在国外长寿风险管理案例分析的基础上,结合我国制度现状运用风险管理理论分析长寿风险管理策略的适应性。基于ALM构建长寿风险管理决策模型,并利用该模型建立长寿风险管理策略有效性分析框架。在研究结论基础上探讨养老金、寿险公司等管理长寿风险的具体对策。项目对长寿风险的影响和管理策略所涉及的问题展开全面深入的理论和实证研究,为我国长寿风险管理提供了科学的理论和实证依据。
中文关键词: 长寿风险;宏观影响;微观影响;管理策略;有效性
英文摘要: This project constructs the mortality model with dependent structure, autocorrelation and heteroscedasticity structure based on time-varying copula model and ARMA-EGARCH model. To select the best mortality model, the above model and other important mortality models in existed literatures are fitted by using Chinese population mortality data. On the basis of the best mortality model, we analyze the micro impact of longevity risk on pension and life insurance company, and macro impact of longevity risk on social capital stock, consumption and other aspects by actuarial principle, lifecycle theory, overlapping generations model, and so on. Considering the status quo of Chinese institution, we analyze the adaptability of management strategies for longevity risk on the basis of analyzing the cases from the developed countries. We construct a decision model for managing longevity risk based on ALM, and build a framework for analyzing effectiveness of management strategies. Concrete countermeasures of managing longevity risk are discussed finally. The project conducts in-depth theoretical research and empirical analysis on the impact of longevity risk and its management strategies, and it provides scientific theories and empirical basis for longevity risk management.
英文关键词: longevity risk;macro impact;micro impact;management strageties;effectiveness