- Docente: Filippo Massari
- Credits: 8
- SSD: SECS-P/01
- Language: English
- Moduli: Martin Gonzalez Eiras (Modulo 1) Filippo Massari (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Economics and Finance (cod. 8835)
Learning outcomes
This course primarily focuses on the identification of financial assets' fair prices. First, the course introduces students to the main theories of portfolio choice and risk-expected return trade-off in financial markets: the mean-variance portfolio choice, CAPM, APT, Fama-French models. Second, the course introduces the students to the main models and techniques that are used to analyze fixed income securities. Starting from basic concepts such as the yield curve, yield-to-maturity, duration, convexity, the course introduces portfolio hedging strategies based on duration-matching or asset liability management.
Course contents
Module 1
• Mean Variance Portfolio Theory
- Financial Markets
- The Characteristics of the Opportunity Set under Risk
- Delineating efficient portfolios
- Techniques for calculating the efficient frontier
- How to Select among the Portfolios in the Opportunity Set
- CAPM
Readings/Bibliography
Modern portfolio theory and investment analysis, 9th edition. Authors: Elton, Gruber, Brown, & Goetzmann
Strategic asset allocation: portfolio choice for long-term investors. Authors: Campbell & Viceira
Advanced theory: why understanding the math matters, Journal of Financial Education. Author: Arnold
Teaching methods
Lectures
Assessment methods
Written exam, partial and total.
The maximum possible score in the class is 30 cum laude, in case all answers are correct, complete and formally rigorous.
The grade distribution is as follows:
<18 failed
18-23 sufficient
24-27 good
28-30 very good
30 e lode excellent
In case of an online exam, the exam will be run through Zoom or Teams and Exams Online (EOL). Detailed instructions on how to manage and hand in the online exam will be made available on the course page prior to the exam.
Teaching tools
During lecture we will show how to calculate optimal portfolios.
Office hours
See the website of Filippo Massari
See the website of Martin Gonzalez Eiras