Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
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Robust portfolio selection
Thesis title in Czech: Robustní výběr portfolií
Thesis title in English: Robust portfolio selection
Key words: portfolio selection, VaR, CVaR, mean-variance, robust
English key words: portfolio selection, VaR, CVaR, mean-variance, robust
Academic year of topic announcement: 2012/2013
Thesis type: Bachelor's thesis
Thesis language: angličtina
Department: Institute of Economic Studies (23-IES)
Supervisor: RNDr. Michal Červinka, Ph.D.
Author: hidden - assigned by the advisor
Date of registration: 10.05.2013
Date of assignment: 14.05.2013
Date and time of defence: 09.09.2014 08:00
Venue of defence: IES
Date of electronic submission:17.07.2014
Date of proceeded defence: 09.09.2014
Opponents: Mgr. Lucie Kraicová
 
 
 
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Guidelines
In the thesis, the author will first introduce risk measures and then analyze three commonly used risk measures: variance, Value at Risk (VaR) and Conditional Value at Risk (CVaR). For each of these three risk measures she will formulate corresponding portfolio selection models: classical mean-variance model, mean-VaR model and mean-CVaR model. Next, the author will specify robust counterparts of classical mean-variance model. In the last part of the thesis, the author will illustrate robust portfolio selection by applying classical mean-variance model and its robust counterparts on historical data and compare the results. The theoretical part of the thesis will be based primarily on [1] and references therein.
References
[1] F.J. Fabozzi, D. Huang, G.Zhou: Robust portfolios: contributions from operations research and finance, Ann. Oper. Res 176, pp. 191-220, 2010.
[2] R. Tütüncü, M. Koenig: Robust asset allocation. Annals of Operations Research 132, 157–187, 2004.
Preliminary scope of work
Outline:

1) Introduction
2) Risk measures and preliminaries
3) Portfolio selection models
3.1) Mean-Variance model
3.2) Mean-VaR model
3.3) Mean-CVaR model
3.4) Robust portfolio selection models
4) Numerical example
5) Conclusion
Preliminary scope of work in English
Outline:

1) Introduction
2) Risk measures and preliminaries
3) Portofolio selection models
3.1) Mean-Variance model
3.2) Mean-VaR model
3.3) Mean-CVaR model
3.4) Robust portfolio selection models
4) Numerical example
5) Conclusion
 
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