A retrospective evaluation of Borsa Istanbul review using a machine learning data analytical approach

IF 6.3 2区经济学 Q1 BUSINESS, FINANCE

Borsa Istanbul Review Pub Date : 2025-02-01 DOI:10.1016/j.bir.2024.12.019

Hassnian Ali , Ahmet Faruk Aysan , Hasmet Gokirmak

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引用次数: 0

Abstract

This study conducts a detailed examination of Borsa Istanbul Review (BIR) from 2013 to 2023, employing bibliometric analysis, regression analysis, and structural topic modeling (STM) to explore its scholarly impact, authorship patterns, and thematic evolution. Our bibliometric analysis reveals a significant increase in BIR's publication volume and citation count, as well as a marked expansion in its author collaboration network, with notable contributions from Turkish and East Asian scholars. Through regression analysis, we identify several factors—such as article length, age, position in the issue (lead article status), regional author affiliation, title characteristics (length and novelty), and the presence of multiple authors, keywords, figures, and tables—as significant determinants of citation rates. Furthermore, STM reveals ten dominant themes in BIR, highlighting key focus areas, such as firm dynamics, market and country growth, financial health, and stock market returns. This comprehensive analysis sheds light on BIR's evolving scholarly landscape and offers valuable insights for its editorial board, stakeholders, and the broader academic community interested in finance and economics. This enhanced understanding of BIR's trends and themes is a crucial resource for navigating the wider finance research domain.

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来源期刊

Borsa Istanbul Review Multiple-

CiteScore

7.60

自引率

3.80%

发文量

130

审稿时长

26 days

期刊介绍： Peer Review under the responsibility of Borsa İstanbul Anonim Sirketi. Borsa İstanbul Review provides a scholarly platform for empirical financial studies including but not limited to financial markets and institutions, financial economics, investor behavior, financial centers and market structures, corporate finance, recent economic and financial trends. Micro and macro data applications and comparative studies are welcome. Country coverage includes advanced, emerging and developing economies. In particular, we would like to publish empirical papers with significant policy implications and encourage submissions in the following areas: Research Topics: • Investments and Portfolio Management • Behavioral Finance • Financial Markets and Institutions • Market Microstructure • Islamic Finance • Financial Risk Management • Valuation • Capital Markets Governance • Financial Regulations