Programming for Finance I, II, Statistics, Financial Econometrics
This course develops basic numerical quantitative methods. We put emphasis on understanding the theoretical underpinnings, but in particular also the numerical implementation. Common problems encountered in economics and finance will serve as our exercise basis. After having taken the course, students will be able to identify and implement solutions to many applied problems in R.
Description / Program
The course is structured along the following topics.
- Basic concepts in mathematics: vector spaces and convexity
- Interpolation – Extrapolation
- Finite differences
- Numeric integration, in particular
- Monte Carlo Simulation
- Ordinary differential equations
- Convex optimization
Learning Method / Style of Lessons
Our classes will be split into a theory part, which explains the concepts, and a practice part, where we will apply the theory to commonly encountered problems.
There will be a final exam, taken at the computer, which accounts for 80% of the final grade. Weekly home assignments will account for 20%.
We will be following closely Numerical Methods in C, which can be consulted voluntarily. All material will be developed and presented during the class and uploaded to icorsi.
Bachelor of Arts in Economics, Elective course, Financial economics, 3rd year
Bachelor of Arts in Economics, Elective course, Management, 3rd year
Bachelor of Arts in Economics, Elective course, Political economy, 3rd year
Master of Science in Economics in Finance, Core course, Quantitative Finance, 1st year