课题基金 / 基金详情

Quantitative Risk Management and Computational Finance

Quantitative Risk Management and Computational Finance
定量风险管理和计算金融
批准号:
216949-2013
负责人:
Tan, KenSeng
金额:
$2.11万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
The modern financial industry - comprising the banking, investment and insurance sectors - relies heavily on modern, computer-based risk analysis and management. As the array of financial products grows in sophistication and complexity, accurate and reliable risk management has become both more complex and more essential. The recent financial crisis dramatically highlighted the importance of risk management. Reliable risk mitigating and risk managing of the enterprise become a critical issue for the viability of a financial institution. It is this important area where Prof. Tan will have a significant contribution. Prof. Tan's research will focus on four key areas. The first objective of Prof. Tan's research program is devoted to developing robust and theoretical sound model that manage the risks of an insurance company optimally via reinsurance. The second objective is to provide effective partial hedging strategy for hedging complicated financial and insurance products. Over the last 100 years, life expectancies have increased at the rate of approximately 2.5 years per decade. The enormous improvement in life expectancy is certainly one of the greatest achievements of modern civilization, but unanticipated mortality improvements can pose huge problems to individuals, pension sponsors, corporations and governments. Therefore, the third objective of Prof. Tan's research program focuses on innovative method of pricing mortality-linked securities and the analyzes pension underfunding risk and total pension cost. Prof. Tan recognizes that many of the problems encountered in practice are often not tractable. Hence the last objective of Prof. Tan's research program focuses on the state-of-the-art simulation algorithm for complex applications. The enhanced simulation technique has the potential of translating into a significant savings, both in time and in computing effort. This greatly complements the analytical results established in the earlier parts of the research program.**
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Quantitative Risk Management and Computational Finance
  • 批准号:
    216949-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2017
  • 负责人:
    Tan, KenSeng
  • 依托单位:
Quantitative Risk Management and Computational Finance
  • 批准号:
    216949-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2015
  • 负责人:
    Tan, KenSeng
  • 依托单位:
Quantitative Risk Management and Computational Finance
  • 批准号:
    216949-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2014
  • 负责人:
    Tan, KenSeng
  • 依托单位:
Quantitative Risk Management and Computational Finance
  • 批准号:
    216949-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2013
  • 负责人:
    Tan, KenSeng
  • 依托单位:
国内基金
海外基金
The Heterogenous Impact of Monetary Policy on Firms' Risk and Fundamentals
基于移动健康技术干预动脉粥样硬化性心血管疾病高危人群的随机对照现场试验:The ASCVD Risk Intervention Trial
  • 批准号:
    81973152
  • 项目类别:
    面上项目
  • 资助金额:
    54.0万元
  • 批准年份:
    2019
  • 负责人:
    胡东生
  • 依托单位:
基于时间序列间分位相依性(quantile dependence)的风险值(Value-at-Risk)预测模型研究
  • 批准号:
    71903144
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    17.0万元
  • 批准年份:
    2019
  • 负责人:
    张申
  • 依托单位:
RISK通路在胃泌素介导的心脏缺血再灌注损伤保护中的作用研究
  • 批准号:
    81800239
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    21.0万元
  • 批准年份:
    2018
  • 负责人:
    符金娟
  • 依托单位: