Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/337235 
Year of Publication: 
2021
Citation: 
[Journal:] Journal of Derivatives and Quantitative Studies: Seonmul yeon'gu (JDQS) [ISSN:] 2713-6647 [Volume:] 29 [Issue:] 4 [Year:] 2021 [Pages:] 258-279
Publisher: 
Emerald, Leeds
Abstract: 
This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.
Subjects: 
Performance analysis
Bibliometric methodology
Keywords analysis
Co-authorship analysis
Journal of derivatives and quantitative studies
JEL: 
G00
G10
G13
G17
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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