Introduction to computational finance and financial econometrics is a free online course by the University of Washington
About the course
In this course students will learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.
Course Syllabus
- Computing asset returns
- Univariate random variables and distributions
- Bivariate distributions
- Time Series concepts
- Matrix algebra
- Descriptive statistics
- The constant expected return model
- Introduction to portfolio theory
- Portfolio theory with matrix algebra
- Statistical Analysis of Efficient Portfolios
- Risk budgeting
- The Single Index Model
Course Sessions
August 26, 2014 - November 4, 2014
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Story first published: Thursday, August 14, 2014, 14:58 [IST]