MASSIMO GUIDOLIN

Here there are the class notes in a "compact" version that should prevent you from destroying entire forests:

• Detailed Syllabus.

1. Lecture 1 (Functions on R, limits, derivatives and differentials, integration, Part 1 - Part 2)
2. Lecture 2 (Vectors and Matrices with applications in Excel) (examples in excel)
   Bond mathematics Lab exercises (to be solved) Lab exercises solved 
3. Lecture  3 (Brief review of optimization methods with applications in Excel)
   Lab exercises
4. Lecture 4 (Introduction to utility theory under certainty and uncertainty)
   Lab exercise (to be solved)
5. Lecture 5 (Basic Mean‐Variance Analysis)
6. Lecture 6 (Mean Variance Portfolio Choice with Excel) (exercise) (solved exercise)