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Imagine that you are a bank and a main part of your daily business is to lend money. Unfortunately, lending money is a risky business - there is no 100% guarantee that you will get all your money back. If the borrower defaults, you will face losses in your portfolio. Or, in a bit less extreme scenario, if the credit quality of your counterparty deteriorates according to some rating system, the loan will become more risky. These are typical situations in which credit risk manifests itself.

According to the Basel Accords, a global regulation framework for financial institutions, credit risk is one of the three fundamental risks a bank or any other regulated financial institution has to face when operating in the markets (the two other risks being market risk and operational risk). As the 2008 financial crisis has shown us, a correct understanding of credit risk and the ability to manage it are fundamental in today’s world.

This course offers you an introduction to credit risk modelling and hedging. We will approach credit risk from the point of view of banks, but most of the tools and models we will overview can be beneficial at the corporate level as well.

At the end of the course, you will be able to understand and correctly use the basic tools of credit risk management, both from a theoretical and, most of all, a practical point of view. For each methodology, we will analyse its strengths as well as its weaknesses. We will do this in a rigorous way, but also with fun: there is no need to be boring.

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Специальные требования

Introductory courses in Statistics and Probability; basic knowledge of the financial vocabulary.



  • The definition and the implications of credit risk for banks and other financial institutions
  • The most recent risk regulations for banks: Basel II and Basel III
  • How to critically use basic measures of risk like Value-at-Risk and Expected Shortfall: computation and interpretation
  • The definition and the use of credit ratings
  • How to define the probability of default of a counterparty
  • Important credit risk models like Merton’s model, the Moody’s KMV model, CreditMetrics™ and Credit Risk Plus™
  • The basics of Credit Default Swaps (CDS)
  • What stress-testing is and why it is useful


Pasquale Cirillo
Associate Professor, Applied Probability, Applied Mathematics
Delft University of Technology

Fang Fang
Assistant Professor at the Department of Applied Mathematics
Delft University of Technology



Delft University of Technology
Delft University of Technology



EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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