European Master and Certification Program
in Risk Engineering and Management

FRME1-5:
Practical Example: Workshop Business and Financial Risks

Course code: 128047
Language of instruction: English
Lecturers: Prof. Dr. Dr. h.c. Dirk Linowski (Steinbeis University Berlin), Dipl.-Kfm. Jacob Kleinow (TU Bergakademie Freiberg The University of Resources)
Assessment: Defined in the module

Short description

Practical examples with the state-of-art tools are applied by the student.

Objectives

Participants are expected to:

- learn how to perform a goodness-of-fit test
- be able to find the needed data
- have an overview of tools used for financial decisions

- interpret the results appropriately

Target Attendees / Participants

Students of Steinbeis Master of Business Administration (MBA)-1

Course Content by Units

Collection and organization of the 'right' data

Performance of goodness-of-fit tests

Computation of risk measures for different confidence levels and time horizons, respectively

Discussion and interpretation


Teaching Methods

Guided application of learned concepts through state-of-art tools

Case study

 

Literature

Aswath Damodaran (2007): Strategic Risk Taking: A Framework for Risk Management, Pearson Prentice Hall.

P. Best (1999): Implementing Value at Risk (Wiley Series in Financial Engineering), Wiley.

Carol Alexander (2009): Market Risk Analysis, Value at Risk Models (Volume IV), Wiley.

Gunter Loeffler, Peter N. Posch (2007): Credit Risk Modeling using Excel and VBA (The Wiley Finance Series).

Marco Corazza, Pizzi Claudio (2010): Mathematical and Statistical Methods for Actuarial Sciences and Finance, Springer.


For more information about the European Master and Certification Program in Risk Engineering and Management in general, go the Homepage.
For more information about the European Master Program in Risk Engineering and Management in general, go the Master Study page.
To see more courses in the curriculum, go to The curriculum page, or by date and topic go to the Calendar of Courses page.
Contact: via email sti889@risk-technologies.com or phone +49 711 1839 781 or +49 711 1839 647
(Course profile ID: FRME1-5:, generated on November 19, 2018)