Syllabus

Title
1920 Course IV - Risk Management
Instructors
Rui Duan, Ph.D., Univ.Prof. Dr. Stefan Pichler
Contact details
sbwl.finance@wu.ac.at - Please always indicate your course number!
Type
VUE
Weekly hours
2
Language of instruction
Englisch
Registration
09/14/22 to 09/30/22
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Specialization in Business Administration Course IV - Finance: Markets, Institutions and Instruments
Course IV - Finance: Markets, Institutions and Instruments
Dates
Day Date Time Room
Thursday 11/24/22 06:00 PM - 09:00 PM TC.0.10 Audimax
Wednesday 11/30/22 10:15 AM - 12:30 PM TC.3.08
Thursday 12/01/22 03:30 PM - 05:45 PM TC.0.10 Audimax
Wednesday 12/07/22 10:15 AM - 12:30 PM TC.3.08
Thursday 12/15/22 03:30 PM - 05:45 PM TC.0.10 Audimax
Wednesday 12/21/22 10:15 AM - 12:30 PM TC.3.08
Thursday 12/22/22 03:30 PM - 05:45 PM TC.0.10 Audimax
Wednesday 01/11/23 10:15 AM - 12:30 PM TC.3.08
Thursday 01/12/23 03:30 PM - 05:45 PM TC.0.10 Audimax
Wednesday 01/18/23 10:15 AM - 12:30 PM TC.3.08
Thursday 01/26/23 08:30 AM - 10:00 AM Präsenz-Prüfung

On this page:

to top
Contents

Unit 1: Statistical Foundations (Ch 22.1, lecture notes)

o General concepts of risk and uncertainty

o Risk measures (dispersion based vs. quantile based) and their properties

o Methods to compute VaR under normality or using the empirical sample distribution

o Extension to the multivariate case

 

Unit 2: Economic Foundations (Ch. 21-22, lecture notes)

o Why is hedging relevant? How does hedging compare to the MM-world?

o Main focus on financial distress costs

o Managing systematic vs. unsystematic risk

o Valuation of corporate debt considering total risk: Concept of credit ratings and PDs

o Maintaining locally optimal costs of capital: ROEC and RORAC

 

Unit 3: Credit Risk (lecture notes)

o Probabilistic credit risk models: Univariate case

o Probabilistic credit risk models: Multivariate case

o Single-factor model and connection to CAPM/Market Model

o Credit VaR: Simulation with given parameters, calibration to observable data

 

Unit 4: Interest Rate Risk (Ch. 23, lecture notes)

o Measures of interest rate risk (duration, PV01)

o Basics of asset-liability-management

o Debt financing decision: Fixed or floating?

 

Unit 5: FX Risk (Ch 22.2, lecture notes)

o Foundations of FX markets (institutions, structure, instruments, quotation)

o Economic determinants of FX rates

o Measuring FX risk

o Hedging FX risk with forwards and options

to top
Learning outcomes

After completing the course, students will understand

· The statistical properties and economic foundations of important risk measures

· How to compute important risk measures based on market data

· How to connect risk management and hedging to the Modigliani-Miller model

· The concept of credit ratings and default probabilities to measure credit risk

· How to compute and how to apply measures of interest rate risk

· How to compute and how to apply measures of FX risk

to top
Attendance requirements

Participation is compulsory in the interactive part. There are grade related performance assessments in each interactive unit. There is absolutely no way to get these points if you are not present for the entire unit.

to top
Teaching/learning method(s)

The course is composed of two parts, a lecture part (5 units) and an interactive part (5 units). The lecture part is organized in only one big class for all students of the specialization. The interactive part is organized in small groups (max. 30 students). The five lecture units take place once a week. The five interactive units also take place once a week, but start one week after the first lecture unit.

The teaching approach of the lecture part is class room teaching type. In the interactive part a mix of methods is applied that includes presentations by the lecturer, class discussions, student presentations of numerical examples (“mini-cases”), real-life case studies and a final exam.

Based on the introduction to the underlying concepts in the lecture part, students will have to prepare small numerical problems ("mini-cases") for the interactive part. E.g.: The concepts of the first lecture unit are applied and deepened in the first interactive unit, and so on. The mini-cases are presented by students and solutions are discussed with the lecturer. In addition, more involved case studies are discussed to provide more insight into industry applications.

The courses are held on campus. The final exam will take place in an online environment on campus.

to top
Assessment

The components for the grades are weighted as follows:

  • 40% lecture part (final exam)
  • 60% interactive part

Interactive part: Students have to prepare mini-cases for the weekly sessions and have to indicate (“check”) the mini-cases they can solve and are ready to present before each session. The solutions of the mini-cases must be uploaded to Learn before each interactive unit. Each example will be presented by a randomly selected student who checked this example. Students need to check a minimum number of mini-cases to pass the course. The baseline number of mini-cases and the minimum number will be communicated before the start of the interactive part, e.g., a baseline of 30 mini-cases with a minimum of 21 mini-cases to pass. Note, the baseline number serves as a reference, there can be more but never less mini-cases than indicated by this number.

The presentation of mini-cases will be evaluated. Students need to be able to solve the mini-cases they present and explain their reasoning. A negative assessment of a student's presentation reduces the number of checked mini-cases. The precise deduction for such a fail will again be communicated before the start of the interactive part, e.g., a deduction of 6 mini-cases. The same deduction applies if a student indicates mini-cases he/she did not solve.

For example: If a student checks 27 mini-cases overall and fails one presentation, the number of checked mini-cases is reduced to 21. Note that two failed presentations will always lead to a number of checked mini-cases that is below the necessary minimum number and, thus, the student fails the course.

Grading: Formally, the evaluation is based on the percentage of credits earned (minimum of 50% of credits needed to pass). This percentage of credits C will be computed by C = 0.4*Clecture + 0.6*Cinteractive. Clecture denotes the percentage of credits earned at the final exam of the lecture part (between 0% and 100%). Cinteractive denotes the percentage of credits earned for the interactive part. The interactive part credits are calculated by dividing the checked mini-cases (after potential reductions for fails) by the baseline number of mini-case, e.g., 21 checked mini-cases / 30 = 70%. If the checked number of mini-cases is below the minimum number, than the resulting credits for the interactive part is 0% and the student fails the course.

For example: The student scores 90% in the final exam and 70% in the interactive part, then C = 0.4 * 90% + 0.6 * 70% = 78%.

The following grading scheme based on C is applied:

Percentage Grade
[87.5%;100%]: 1 1
[75%;87.5%): 2 2
[62.5%;75%): 3 3
[50%;62.5%): 4 4
<50%: 5 5

square bracket [ ] = percentage is still included in the quantity
round bracket ( ) = percentage is no longer included in the quantity

to top
Prerequisites for participation and waiting lists

Students need to be admitted to the specialization Finance: Markets, Institutions & Instruments and need to have completed Course I and Course II successfully to register for the course.

to top
Readings
1 Author: Hillier, Grinblatt, Titman
Title:

Financial Markets and Corporate Strategy

Publisher: McGraw Hill
Edition: 2nd European Edition
Content relevant for class examination: Yes
Recommendation: Strongly recommended (but no absolute necessity for purchase)
Type: Book
to top
Recommended previous knowledge and skills

basic knowledge of Excel or R, basics in Statistics

to top
Availability of lecturer(s)

stefan.pichler@wu.ac.at

Last edited: 2022-12-12



Back