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Introduction to Credit Risk and Applications in Python - Block Course

Block Course

Taught by Hongyi Shen

Content

This course provides an introduction to credit risk management with Python programming. Students will learn basic data processing techniques in Python, and how to analyze credit risk through factor models, including parameter calibrations and simulations. The course covers practical applications such as risk quantification, simulations, and data analysis in the context of credit risk management.

By the end of the course, students will be able to use Python for basic credit risk analysis, including data processing, risk quantification, and the application of factor models in credit risk management. 

Dates
Wednesday, April 23rd, 20254-6 pm1098 KG I
   
Monday, April 28th, 202512-2 pmR 2 Peterhof
Friday, May 2nd, 202512-2 pm1021 KG I
   
Monday, May 5th, 202512-2 pmR 2 Peterhof
Friday, May 9th, 202512-2 pm1021 KG I
   
Monday, May 12th, 202512-2 pmR 2 Peterhof
Friday, May 16th, 202512-2 pm1021 KG I
   
Monday, May 19th, 202512-2 pmR 2 Peterhof
Friday, May 23rd, 202512-2 pm1021 KG I
   
May 26th - June 1st, 2025Assignment period report 
   
 Sunday, June 1st, 2025Submission report 

                                           

First Meeting

Wednesday, April 23rd, 2025 at 4-6 pm in lecture hall 1098 KG I

Participation in the first introductory meeting is mandatory. Non-participation will be seen as a withdrawal from the seminar and your place will be given to another student on the waiting list.

 

LanguageEnglish
 
 
Requirements
ECTS

4
 

 

Application &
Registration

Since the number of participants is limited, applications can be submitted here until April, 13th 2025.

  • Please send us the following application documents and information:

  • Course of Study
  • Current Semester
  • Matriculation Number
  • Current Transcript
     
Examination       

4 ECTS written report (code and report)

ILIAS

Course materials will be available on ILIAS. We will email you the ILIAS password after your registration.

Credit

The seminar can be credited as follows:

  • In M.Sc. Economics in the profile "Finance";
  • In M.Sc. VWL as per PO 2014 in "Accounting, Finance, and Taxation" and "Empirical Economics"
     
Literature
  • Bielecki, T., & Rutkowski, M. (2002). Credit Risk: Modeling, Valuation and Hedging. Springer.

  • Bluhm, C., Overbeck, L., & Wagner, C. (2010). Introduction to Credit Risk Modeling (2nd ed.). Chaman & Hall/CRC.

  • Frey, R., McNeil, A. J., & Embrechts, P. (2015) Quantitative Risk Management - Concepts, Techniques and Tools (revised edition)

  • Gordy (1998), A Comparative Anatomy of Credit Risk Models

  • Gundlach, M., & Lehrbass, F. (2003). CreditRisk+ in the Banking Industry. Springer.

  • Lando, D. (2004) Credit Risk Modeling. Princeton University Press.

  • Lütkebohmert, E. (2009) Concentration Risk in Credit Portfolios. Springer.

  • Perraudin, W. (2004) Structured Credit Products: Pricing, Rating, Risk Management and Basel II. Risk Books.

  • Pykhtin, M. (2004). Multi-factor Adjustment. Risk Magazine.

 

 

 

 

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