Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

An Investment Strategy to Integrate the KOSDAQ150 Index and Bitcoin Using the Rough Set Theory

Full metadata record
DC Field Value Language
dc.contributor.author박민경-
dc.contributor.author최연지-
dc.contributor.author김영민-
dc.contributor.author오경주-
dc.date.accessioned2021-09-10T06:28:18Z-
dc.date.available2021-09-10T06:28:18Z-
dc.date.issued2021-
dc.identifier.issn2288-1344-
dc.identifier.issn2508-7185-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/19148-
dc.description.abstractBitcoin, the most representative cryptocurrency, and the KOSDAQ150 index have a higher proportion of individual investors than the other financial products. As they present great investment opportunities, both are found to be highly volatile as well as high-risk financial products. Based on the correlation between the two products, this study proposes a more stable and a higher rate of return trading model for trading the KOSDAQ150 index alongside Bitcoin, enabling the investors to make sound and stable investments. The study utilizes the rough set theory for the development of the investment strategy. In conclusion, it was possible to achieve higher rates of return when trading the KOSDAQ150 index and Bitcoin together than when trading Bitcoin alone. The study demonstrates how the trading of Bitcoin allows for a long term and a stable investment.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisher자연과학연구소-
dc.titleAn Investment Strategy to Integrate the KOSDAQ150 Index and Bitcoin Using the Rough Set Theory-
dc.title.alternativeAn Investment Strategy to Integrate the KOSDAQ150 Index and Bitcoin Using the Rough Set Theory-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.22283/qbs.2021.40.1.1-
dc.identifier.bibliographicCitationQuantitative Bio-Science, v.40, no.1, pp 1 - 11-
dc.citation.titleQuantitative Bio-Science-
dc.citation.volume40-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage11-
dc.identifier.kciidART002720271-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorBitcoin-
dc.subject.keywordAuthorKOSDAQ150-
dc.subject.keywordAuthorRough set-
dc.subject.keywordAuthorSharpe ratio-
dc.subject.keywordAuthorTechnical indicators-
Files in This Item
There are no files associated with this item.
Appears in
Collections
SCH Media Labs > Department of Big Data Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Jae yun photo

Kim, Jae yun
College of Software Convergence (AI·빅데이터학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE