MAPPING THE GLOBAL RESEARCH LANDSCAPE OF CRYPTOCURRENCY PRICE: A BIBLIOMETRIC AND THEMATIC ANALYSIS

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.