ENHANCED PORTFOLIO OPTIMIZATION

dc.contributor.authorKylyshbek, Yestay
dc.date.accessioned2023-12-27T06:16:29Z
dc.date.available2023-12-27T06:16:29Z
dc.date.issued2021-12-21
dc.description.abstractPortfolio optimization ought to provide investors with an asset allocation strategy that outperforms the market. As a foundation of all portfolio optimization strategies, standard mean-variance optimization (MVO) strategy usually underperforms the market portfolio in practice. Numerous researches also present the fact that most of the active investors actually underperform the market, hence the best way of investing might be the most passive one. This paper duplicates and extends the work of an existing study to verify the effect of correlation shrinkage and implement industrial momentum in the Enhanced Portfolio Optimization methoden_US
dc.identifier.citationKylyshbek, Y. (2021) Enhanced Portfolio Optimization. Nazarbayev University, Graduate School of Businessen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7562
dc.language.isoenen_US
dc.publisherNazarbayev University, Graduate School of Businessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectMean-Variance Optimization (MVO)en_US
dc.subjectEnhanced Portfolio Optimizationen_US
dc.subjectcorrelation shrinkageen_US
dc.subjectindustrial momentumen_US
dc.subjectType of access: Restricteden_US
dc.titleENHANCED PORTFOLIO OPTIMIZATIONen_US
dc.typeMaster's thesisen_US
workflow.import.sourcescience

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Yestay thesis.pdf
Size:
3.81 MB
Format:
Adobe Portable Document Format
Description:
thesis