This course provides students with a working knowledge of macroeconomic models that explicitly incorporate financial markets. The goal is to develop a broad and analytical framework for analyzing the interaction of financial decisions, macroeconomic events ...
The objective of this course is to acquire experience in financial machine learning by solving real-world problems. Different groups of students will work on different industry projects during the semester. Lectures will discuss best practices and tools. ...
This course provides an overview of the theory of asset pricing and portfolio choice theory following historical developments in the field and putting
emphasis on theoretical models that help our understanding of financial decision
making and financial mar ...
A quoi peut servir un.e architecte ?
Nous réfléchirons ensemble à cette question à travers un projet de réinvention et réhabilitation de l'Institut Thérapeutique Educatif et Pédagogique (ITEP) les Évents, qui accueille des jeunes atteints de troubles psych ...
The course covers advanced topics in corporate finance such as the design and valuation of corporate securities, the issuing process for theses securities, real options, and their implications for valuation, financial structuring, and business development. ...
This course is introduces machine learning techniques for financial applications in algorithmic trading, derivatives pricing, model calibration, hedging, and risk management. The course format is hands on coding sessions in Python (Keras, Tensorflow, and S ...