Computational Optimization in Finance (R-Module)
Exam number: 6769
Semester: from 2nd semester
Duration of the module: One semester
Form of the module (i.e. obligatory, elective etc.): Elective
Frequency of module offer: Only summer semester 2016
Prerequisites: Simultaneous or previous participation in the track modules “Operations Research” or “Management Science”, good knowledge and deep interest in mathematical modeling and quantitative methods.
Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.
Person responsible for module: Prof. Dr. Sven Husmann, Prof. Dr. Achim Koberstein
Name of the professor: Prof. Dr. Sven Husmann, Prof. Dr. Achim Koberstein
Language of teaching: English
ECTS-Credits (based on the workload): 6
Workload and its composition (self-study, contact time):
Contact time (Lecture, tutorial etc.): 60 h; self-study: 120 h
Contact hours (per week in semester): 4
Methods and duration of examination:
Successful preparation of a seminar paper of ca. 10 pages including a small implementation project, an intermediate presentation and a final presentation at the end of the 2nd block (20-30 min. each)
Emphasis of the grade for the final grade: Please check regulations of the study programme
Aim of the module (expected learning outcomes and competencies to be acquired):
The participants will learn how to deploy model-based optimization approaches in the field of financial portfolio management.
Contents of the module:
Recently, great progress has been made in taking into account uncertain data explicitly in model-based decision support systems to produce more flexible and robust planning solutions. In this seminar, we want to discuss how these approaches can be applied to the field of financial portfolio optimization. In particular, we will investigate approaches from mixed-integer and stochastic programming. In addition, we want to familiarize ourselves with modelling languages for mathematical programming models and learn how to implement illustrative applications in portfolio optimization ourselves.
Possible topics for the seminar paper are:
- Portfolio constraints used in practice
- Incorporating transactions costs
- Optimization of portfolio Value-at-Risk
Teaching and learning methods:
Literature (compulsory reading, recommended literature):
F. J. Fabozzi, P.N. Kolm, D.A. Pachamanova, S. M. Focardi. Robust Portfolio Optimization and Management. John Wiley & Sons 2007.
Additional topic specific material.
Registration in Moodle Viadrina required.