先修课程、其它学习要求
Pre-requisites or Other
Academic Requirements
概率论与数理统计或者数理统计
Probability and Statistics or Mathematical Statistics
后续课程、其它学习规划
Courses for which this course
is a pre-requisite
其它要求修读本课程的学系
Cross-listing Dept.
这门课将简单介绍各种量化方法,比如统计分析,模拟和优化方法等,对市场风险、信用风险和波动率风险进行建模和管
理。内容主要包括债券投资组合管理和免疫、风险因素和损失分布、在险价值和预期亏损、一致性风险度量值和经济资
本、Copula 方法等。
This course illustrates the use of various quantitative methods, like statistical analysis, simulation and optimization
methods, in the modelling and management of market and credit and volatility risks. The topics include bond portfolio
management and immunization, risk factors and loss distribution, Value-at-Risk and expected shortfall, coherent
measures of risk and economic capital, Copula approach, etc.
在修完课程后,学生们应该知道如何应用量化技术对各类风险进行建模和管理。此外,学生应掌握债券投资组合管理和免
疫。最后,他们应该对风险度量,如在险价值和预期亏损,以及它们的局限性有一个定量的理解。
After taking the course, the students should know the use of quantitative techniques in the modelling of and
management of various risks. Also, the students should understand bond portfolio management and immunization.
Finally, they should have a quantitative understanding of risk measures, like Value-at-Risk and expected shortfall, and
their limitations.
课程内容及教学日历 (如授课语言以英文为主,则课程内容介绍可以用英文;如团队教学或模块教学,教学日历须注明
主讲人)
Course Contents (in Parts/Chapters/Sections/Weeks. Please notify name of instructor for course section(s), if
this is a team teaching or module course.)
第一章: 债券投资组合管理和免疫 (17 学时)
1.1 债券收益率和利率期限结构
1.2 久期和凸性
1.3 回报率
1.4 免疫
Chapter 1: Bond portfolio management and immunization
1.1 Bond yields and term structures of interest rates
1.2 Duration measures and convexity
1.3 Horizon rate of return
1.4 Immunization of bond investment