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Mapping the Global Research Landscape of Cryptocurrency Price: a Bibliometric and Thematic Analysis

Year: 2025

Type: article

Abstract: This study evaluates the evolution of cryptocurrency price research through a bibliometric network analysis and a thematic review of publications from 2014 to 2022. Three main themes are identified: cryptocurrency behavior, predictive modeling techniques, and factors influencing cryptocurrency prices. The findings reveal inconsistencies in the literature regarding predictive models and contributing factors, highlighting significant theoretical gaps. Future research directions are proposed, including the development of hybrid forecasting models that integrate machine learning, behavioral factors, and macro-financial indicators. This review offers valuable insights for scholars, investors, and policymakers aiming to enhance forecasting accuracy, manage risk, and better understand the complexities of the digital asset ecosystem.

Source: International Journal of Innovation and Industrial Revolution

DOI: 10.35631/ijirev.722031

Authors: Nurazlina Abdul Rashid, Mohd Tahir Ismail, Azlan Abdul Aziz, Anis Mardiana Ahmad, Nurul Hafizah Azizan, Amirah Hazwani Abdul Rahim

Institutions: Universiti Teknologi MARA System, Universiti Teknologi MARA, Universiti Sains Malaysia

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

Funder: Universiti Teknologi MARA

OpenAlex ID: W4415651079

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