课题基金 / 基金详情

Stochastic Methods for Dynamic Risk Management

Stochastic Methods for Dynamic Risk Management
动态风险管理的随机方法
批准号:
DP0881460
负责人:
Prof Marek Rutkowski
金额:
$16.66万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2008
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2008-03-28 至 2011-03-27

项目摘要

项目成果

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中文摘要
翻译
在当今激烈的竞争压力、动荡的经济状况、不断增加的破产以及不断增加的消费者和商业债务水平的环境下,一个组织是否有能力有效地监控和管理其信用风险,可能意味着成功和生存的区别。改进动态风险管理系统也是新的监管资本充足率提案巴塞尔II的重要组成部分,该提案主张对信贷组合和信用风险的内部模型提出对风险敏感的资本金要求。该项目的目标是开发用于管理信用风险的新的随机方法,并将该项目中开发的理论创新转化为实际实施。
英文摘要
In today's environment of intense competitive pressures, volatile economic conditions, rising bankruptcies, and increasing levels of consumer and commercial debt, an organization's ability to effectively monitor and manage its credit risk can mean the difference between success and survival. The improvement of dynamic risk management systems is also an essential part of the new regulatory Capital Adequacy Proposal Basel II in which risk-sensitive capital requirements for credit portfolios and internal models of credit risk are advocated. The goal of the project is to develop novel stochastic methods for managing of credit risk and to bring theoretical innovations developed within the project to practical implementations.
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Fair pricing of superannuation guaranteed benefits with downturn risk
  • 批准号:
    DP200101550
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $27.38万
  • 财政年份:
    2020
  • 负责人:
    Prof Marek Rutkowski
  • 依托单位:
Multi-person stochastic games with idiosyncratic information flows
  • 批准号:
    DP120100895
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $25.15万
  • 财政年份:
    2012
  • 负责人:
    Prof Marek Rutkowski
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data