Study of Equities using Signed Social Network

dc.contributor.authorNanavati, Amit A.
dc.date.accessioned2022-04-11T08:58:54Z
dc.date.available2022-04-11T08:58:54Z
dc.date.issued2022-01-08
dc.descriptionDue to copyright, only the abstract of this article is uploaded to this repository. To get the full text of this journal article kindly mail the link to librarian@ahduni.edu.inen_US
dc.description.abstractStock prices in the financial market are highly unpredictable; yet, there is usually some correlation between equities. These correlations can be positive or negative, causing equities to move in the same direction or in opposite directions. In this paper correlation analysis is performed on the Indian stock market to build a well-balanced portfolio. We have taken advantage of the fact that stocks have positive or negative correlation to create a signed social network of stocks using a modified winner-takes-all strategy [3]. We then used the FEC algorithm [9] to determine communities with positive intra-links and negative inter-links from this network. Our study revealed that various sub-sectors such as the pharmaceutical, IT, financial sector, and so on form communities within the network. We present a few different strategies to build portfolios by selecting companies from the determined communities that have only positive, only negative, or both negative and positive linkages. We use the Sharpe ratio[5] to assess the performance of these portfolios, and found ten_US
dc.identifier.citationAgrawal, M., Sharma, S., Nanavati, A. A., & Mukherjea, S. (2022, January). Study of Equities using Signed Social Network. In 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD) (pp. 231-235).en_US
dc.identifier.other978-145038582-4
dc.identifier.urihttps://doi.org/10.1145/3493700.3493720
dc.language.isoen_USen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.ispartofseriesACM International Conference Proceeding Series;Pages 231 - 235
dc.subjectCommunity detectionen_US
dc.subjectNetwork analysisen_US
dc.subjectPortfolio managementen_US
dc.subjectSigned networksen_US
dc.titleStudy of Equities using Signed Social Networken_US
dc.typeOtheren_US

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