- Docente: Matteo Amabili
- Credits: 3
- SSD: SECS-S/06
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Quantitative Finance (cod. 8854)
Learning outcomes
The Advanced ML course is geared towards state of the art application of neural network to pricing and market risk problem. The studend will acquire a sound knowledge of the principles underlying Neural Networks and will be guided in a tour of the relevant literature concerning the exploitation of machine learning for pricing of highly exotic products and applications to market risk managment. Altough the approach demands very large scale computing facilities, impossible to be provided to the students, nonetheless students will learn how to design solutions to this type of problem and will gain hands on experience of the methodology on simpler and smaller toy models.
Assessment methods
The final exam will consists of a Machine learning project. During the exam, the student will have to present the developed project and discuss its main aspects as well as the underlying theory.
Teaching tools
- Slides (power point/pdf)
- Selected literature
- Jupyter Notebook and Python Code
Office hours
See the website of Matteo Amabili