At Johns Hopkins, Financial Mathematics continues a rich engineering tradition whereby the strengths of the faculty in research, education and leadership are applied to expand knowledge and apply new knowledge for the benefit of humanity by addressing the complex problems of modern society. Understanding and navigating today’s rapidly evolving, world-wide economic and financial landscape presents one of society’s most challenging, modern problems
The unifying premise for Financial Mathematics is more than just a collection of techniques applied to a common problem area.
1、投资学
2、金融衍生产品简介
3、利率和信用衍生工具
4、金融工程与结构性产品
5、风险度量/管理金融市场
6、随机过程及其应用金融学
7、蒙特卡罗方法
8、应用统计与数据分析
9、时间序列分析
10、优化金融
11、应用数学与统计
12、金融数学
