dc.contributor.author | Xiong, Jialei | |
dc.date.accessioned | 2024-03-26T11:39:43Z | |
dc.date.available | 2024-03-26T11:39:43Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Ekonomická revue. 2023, roč. 26, č. 3, s. 43-48 : il. | cs |
dc.identifier.issn | 1212-3951 | cs |
dc.identifier.uri | http://hdl.handle.net/10084/152443 | |
dc.description.abstract | This study focuses on the relatively absent link between market attention and portfolio optimization with a view to
enhancing portfolio selection strategies. The motivation for this study stems from the recognized impact of market
attention on predicting individual stock movements and the lack of exploration of its impact on portfolio manage-
ment. Addressing this research gap, this study aims to reveal how incorporating market attention into traditional
portfolio optimization models can significantly improve the efficiency and effectiveness of portfolio selection strat-
egies. This study uses time-series data from Google Trends to quantify attention and integrate it into a portfolio
optimization model. By comparing traditional portfolio optimization methods, such as the minimum CVaR method
with a method that incorporates market attention, this study highlights the substantial enhancements that result from
incorporating market attention into portfolio selection strategies. This exploration empirically demonstrates the ef-
ficacy of portfolio optimization when considering market attention and bridges the gap in the existing literature. | cs |
dc.language.iso | en | cs |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.relation.ispartofseries | Ekonomická revue | cs |
dc.relation.uri | https://dokumenty.vsb.cz/docs/files/cs/dd32c2ea-bca6-4ae5-9f7c-6320b63cba8b | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.rights | Attribution-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | * |
dc.subject | portfolio optimization | cs |
dc.subject | sentiment analysis | cs |
dc.subject | Google Trends | cs |
dc.subject | time series analysis | cs |
dc.title | The portfolio strategy under the influence of market attention | cs |
dc.type | article | cs |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |