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AI and Rural Development
Abstract
This research investigates the role of Artificial Intelligence (AI) in detecting herding behavior in financial markets. Herding, a phenomenon where investors follow the majority, can lead to market inefficiencies and increased volatility. By leveraging AI techniques, including machine learning and deep learning, this study aims to improve the detection and understanding of herding patterns. The research explores how AI models can analyze large datasets, recognize non-linear relationships, and identify subtle patterns indicative of herding. It gives the picture of Factors Affecting Herd-Behavior, Impact of Herd-Behavior, Sources for data analysis for detecting Herding with AI, Navigating Herding with AI, Challenges and threats in Detecting Herding with AI. The findings suggest that AI provides more accurate and timely detection of herding behavior compared to traditional methods, offering significant implications for market stability and investor strategies.
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