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Credit Analysis (SS 2009)

Organisation:

News:

Instructors: Prof. Dr. Gunter Löffler with
  • Results of late-sit exam are available here.
 Bappaditya Mukhopadhyay and
 Dipl.-WiWi. Jürgen Bohrmann
Lecture:Wednesday, 12.30 - 14.00, H12
 Thursday, 15.15 - 16.45, H11

You can send an (even anonymous) feedback using the feedback form and choosing your desired recipient. Contact Jürgen Bohrmann if you have questions about this course.

Downloads are password protected. The username is „student“ and the password will be given in the lecture and is available on the withboard in front of our rooms. You can use your ANA (Authentifizierter Netzzugangs-Account) from kiz and the webVPN to bypass the protection.

 

Prerequisites:

"Investition und Finanzierung" or "Asset Pricing" or comparable knowledge in finance.

Course:

Lecture (3 hours per week), exercises (1 hour per week)

 

Downloads-Lecture:

Lecture slides - introduction
Link to: Moody's corporate default and recovery rates, 1920-2008
Link to: Standard & Poor's corporate ratings criteria 2008
Lecture slides - statistical models
Lecture slides - nonlinear probability models
Lecture slides - loans as options
Lecture slides - KMV
Lecture slides - last chapters
 

Downloads-Exercises:

Problem set 1 - PDF
Problem set 1 - Excel
Problem set 1 - Solution
Problem set 2 - PDF
Problem set 2 - Excel
Problem set 2 - Solution
Problem set 3 - PDF
Problem set 3 - Excel
Problem set 3 - Solution
Problem set 4 - PDF
Problem set 4 - Solution
Problem set 5 - PDF
Problem set 5 - Solution
 

Downloads-Case Study:

Case Study - PDF
Case Study - Excel Data
 

Downloads-Exams:

Exam from 2006
Please note that the 2006 exam, because of changes in the course content, is not fully representative of the upcoming summer 2009 exam. Especially, questions B1, C1a and C2 are not relevant for this year's exam.
Exam preparation hints
Short solution to question A2b
 

Dates:

Date Kind Remark
Wed, 22.04.2009 Lecture Löffler
Thu, 23.04.2009 Lecture Löffler
Wed, 29.04.2009 Lecture Löffler
Thu, 30.04.2009 Lecture Mukhopadhyay
Wed, 06.05.2009 Exercises Löffler
Thu, 07.05.2009 Lecture Mukhopadhyay
Wed, 13.05.2009 Lecture Mukhopadhyay
Thu, 14.05.2009 Lecture Mukhopadhyay
Wed, 20.05.2009 Lecture Mukhopadhyay
Wed, 27.05.2009 Lecture Mukhopadhyay
Thu, 28.05.2009 Lecture Mukhopadhyay
Wed, 10.06.2009 Lecture Mukhopadhyay
Wed, 17.06.2009 Lecture Löffler
Thu, 18.06.2009 Lecture Löffler
Wed, 24.06.2009 Lecture Löffler
Thu, 25.06.2009 Exercise Bohrmann
Wed, 01.07.2009 Lecture Löffler
Thu, 02.07.2009 Lecture Löffler
Wed, 08.07.2009 Lecture/CS presentation Löffler
Thu, 09.07.2009 Exercise Bohrmann
Wed, 15.07.2009 Lecture Löffler
Thu, 16.07.2009 Lecture Löffler
Wed, 22.07.2009 Exercise Bohrmann
Thu, 23.07.2009 Lecture Löffler

Course contents:

  • Rating process of rating agencies
  • Statistical models: Altman Z score and linear probability models
  • Credit scoring with logit/probit
  • Option-theoretic approaches to default risk
  • Rating validation
  • Measuring credit portfolio risk
  • Bank regulation (Basel II)
  • Credit derivatives, securitization and the recent financial crisis
  • Selected special topics
  •  

    Learning goals:

    Students will

  • be able to assess the credit quality of a company following the approach used by rating agencies,
  • understand statistical credit scoring models (logit, probit) and be able to implement them,
  • be able to estimate default probabilities using the option-theoretic approach,
  • be able to validate a rating system using historical rating and default data,
  • be able to set up a model for credit portfolio risk,
  • understand the key elements of bank regulation
  • be familiar with modern credit instruments (CDS, securitization)
  •  

    Exam:

    The late-sit exam is scheduled for Thursday, 1st of October 2009, between 10.00 and 12.00 am in Heho 18, room E20. Please be there on time. You should take your student ID, pens and a nonprogrammable handheld calculator with you. Additionally, you can take the 4 printed out chapters of Prof. Bappa's part (statistical models, nonlinear probability models, loans as options, KMV) with you. Further printouts or your own notes are not permitted. Please do not forget to register for the exam at least one week before in the Studentensekretariat.


    These pages are out of date: You find our new websites on http://www.uni-ulm.de/mawi/iof