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Financial Modelling

Description

Prerequisites
Investments, Capital Markets or equivalent course 

Objectives
Learning modeling techniques and applications for investment analysis, company valuation, portfolio optimization and more. 

Description / Program
The purpose of the course is to provide students with an applied view of the professional investment process. The course revolves around an Asset Management Challenge. The lectures will give you the theoretical foundations for structuring an Active portfolio. We will cover topics such as the construction of the Efficient Frontier (Markowitz Theory) and the Treynor-Black Model. We will study trading strategies that can generate outperformance. Additionally, we will discuss Performance Evaluation and Performance Reporting. Moreover, we will teach you how to backtest trading strategies. The learning objectives of the course are both theoretical and applied.  We will stress the realism of the applications and we will make extensive use of Bloomberg as a source of data and as a tool for portfolio applications.

Learning Method / Style of Lessons
Lectures, applications in Python and Excel, Asset Management Challenge, group work and presentations.
Compliant with COVID-19 guidelines

Exam Style
The final grade will be based on:

  • an Asset Management Challenge, with periodic reports and presentations – counts for 60%
  • a final written Exam, with theoretical questions and exercises – counts for 40%
  • Class attendance is a requirement.

Readings/Textbooks

  • Lasse H. Pedersen, “Efficiently Inefficient”, Princeton University Press, 2015.
  • Bodie Z., Kane A., and Marcus A.J., “Investments”, 7th, or 8th, or 9th, or 10th, or 11th edition, McGraw Hill.
  • Lecture notes.

People

 

Franzoni F.

Course director

Mano N.

Assistant

Additional information

Semester
Fall
Academic year
2020-2021
ECTS
6
Language
English
Education
Master of Science in Economics in Finance, Core course, Minor in Quantitative Finance, 2nd year
Master of Science in Economics in Finance, Elective course, Minor in Banking and Finance, 2nd year
Master of Science in Economics in Finance, Core course, Minor in Digital Finance, 2nd year
Master of Science in Financial Technology and Computing, Core course, Lecture, 2nd year