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CREDIT RISK MANAGEMENT

2023-2024

EnIESEG School of Management ( IÉSEG )

Class code :

2324-IÉSEG-MFI1S2-FIN-MFIEI02UE

FINANCE


Level Year Period Language of instruction 
MSc in Finance1S2EnEnglish
Academic responsibilityJ.Wienbelt
Lecturer(s)Johan Wienbelt


Prerequisites

- basic knowledge of bonds, derivatives and other plain vanilla financial instruments;
- familiaritty with mathematical notations and modelling;
- familiarity with basic accounting, P&L, balance sheet;
- basic knowledge of probibility theory (discrete and continuous random variable, density and distribution function;
- working with Bloomberg, Reuters and Excel;
- have a Kahoot! account.

Learning outcomes

At the end of the course, the student should be able to :
- Breakdown complex organizational problems using the appropriate methodology
- Propose creative solutions within an organisation
- Compose constructive personal feedback and guidance
- Understand what Credit Risk and Counterparty Credit Risk are;
- Understand the difference between Credit Risk and Counterparty Credit Risk;
- Understand what a default probability is, (counterparty) credit risk exposure and a recovery rate;
- Understand which tools are available to mitigate credit risk such as Credit Default Swaps;
- Understand which tools are available to mitigate counterparty credit risk, such as netting, collateralisation and central clearing;
- Understand recent developments in the financial industry to improve the (systemic) stability of the system and the role of regulation (Basel accords);
- Understand how banks treat credit risk on their balance sheets and make credit value adjustments;
- Work with Bloomberg/Reuters on practical cases, implementing their understanding in practice.

Course description

- Sessions 1 and 2 - Introduction to Credit Risk and Counterparty Creit Risk;
- Session 3 - The CDS market;
- Session 4 - Bloomberg/Reuters lab;
- Session 5 - Mitigating Counterparty Credit Risk;
- Session 6 - Presentation of a Pape


Class type

Class structure

Type of courseNumbers of hoursComments
Independent work
Reference manual 's readings4,00  
Independent study
Estimated personal workload10,00  
Group Project20,00  
Face to face
Interactive class16,00  
Total student workload50,00  

Teaching methods

  • Case study
  • E-learning
  • Interactive class
  • Presentation
  • Research


Assessment

The course assessment is made as follows:
- 6 quizzes taken in class in Kahoot!, testing understanding of the previous session and reading materials and 2 exercises, totaling to 60%;
- research on an actual topic or paper, with a presentation in class, 40%.

Type of controlDurationNumberPercentage break-down
Others
Written Report1,00920,00
Group Project4,00140,00
Continuous assessment
QCM2,00640,00
TOTAL     100,00

Recommended reading

  • John Hull - Risk Management and Financial Institutions, (2012), Wiley -

  • Jon Gregory - Counterparty Credit Risk (2010), Wiley Finance -


Internet resources



 
* This information is non-binding and can be subject to change
 
 
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