The Principles of Random Matrix Theory and Their Application to the Portfolio Choice
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43933050" target="_blank" >RIV/49777513:23520/17:43933050 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Principles of Random Matrix Theory and Their Application to the Portfolio Choice
Original language description
In this paper, we use random matrix theory to analyse eigenvalues and see if there is a presence of pertinent information by using Marčenko–Pastur distribution. Thus, we analyse cross correlations between price fluctuations of different stocks using methods of random matrix theory. Moreover, we try to clean correlation matrix from noisy elements to see if the gap between predicted risk and realized risk would be reduced. The cleaned correlation matrix was used in portfolio optimization problem. This analysis is a way to understand the correlation structure.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
APLIMAT 2017 PROCEEDINGS
ISBN
978-80-227-4650-2
ISSN
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e-ISSN
neuvedeno
Number of pages
8
Pages from-to
1380-1387
Publisher name
Vydavateľstvo SPEKTRUM STU
Place of publication
Bratislava
Event location
Bratislava, Slovensko
Event date
Jan 31, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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