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Artificial Intelligence and Human Behavior in Cryptocurrency Markets: An Analysis of Herding Behavior
Abstract
Cryptocurrency markets, characterized by high volatility, limited regulation, and rapid digitalization, represent an area that requires in-depth analysis of investor behavior and market dynamics. In this context, herd behavior emerges as a phenomenon where investors follow collective movements instead of making individual decisions, leading to market anomalies. The dynamics of cryptocurrency markets differ from those of traditional financial markets, necessitating alternative analytical methods to understand irrational investment decisions within these markets. This study aims to investigate herd behavior in cryptocurrency markets and its impact on market volatility. It identifies that during periods of high market volatility, investors tend to exhibit more irrational movements, following herd behavior, which disturbs market equilibrium.
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