Adaptive parameter estimations of Markowitz model for portfolio optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929920" target="_blank" >RIV/49777513:23520/16:43929920 - isvavai.cz</a>

Výsledek na webu

<a href="http://mme2016.tul.cz/index.php?page=conferenceproceedings" target="_blank" >http://mme2016.tul.cz/index.php?page=conferenceproceedings</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive parameter estimations of Markowitz model for portfolio optimization

Popis výsledku v původním jazyce

This article is focused on a stock market portfolio optimization. The used method is a modification of traditional Markowitz model which extends the original one for adaptive approaches of parameter estimations. One of the basic factors which significantly influence optimal portfolio is the method of estimations of return on assets, risk and covariance between them. Since the stock market processes tend to be not stationary we can expect that prioritization of recent information will lead to improvement of these parameter estimations and thus to better results of the entire model. For this purpose a modified algorithm was design to estimate expected return and correlation matrix more stable. For implementation and verification of this algorithm we needed to build a program which was able to download historical stock market data from the internet and compute optimal portfolio using either traditional Markowitz model and its modified approach. Obtained results will be compared to the traditional Markowitz model provided real data.

Název v anglickém jazyce

Adaptive parameter estimations of Markowitz model for portfolio optimization

Popis výsledku anglicky

This article is focused on a stock market portfolio optimization. The used method is a modification of traditional Markowitz model which extends the original one for adaptive approaches of parameter estimations. One of the basic factors which significantly influence optimal portfolio is the method of estimations of return on assets, risk and covariance between them. Since the stock market processes tend to be not stationary we can expect that prioritization of recent information will lead to improvement of these parameter estimations and thus to better results of the entire model. For this purpose a modified algorithm was design to estimate expected return and correlation matrix more stable. For implementation and verification of this algorithm we needed to build a program which was able to download historical stock market data from the internet and compute optimal portfolio using either traditional Markowitz model and its modified approach. Obtained results will be compared to the traditional Markowitz model provided real data.

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

34th International Conference Mathematical Methods in Economics, MME2016, Conference Proceedings

ISBN

978-80-7494-296-9

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

635-640

Název nakladatele

Technical University of Liberec

Místo vydání

Liberec

Místo konání akce

Liberec, ČR

Datum konání akce

6. 9. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000385239500109