Extreme Price

Extreme price movements, particularly in volatile markets like cryptocurrencies and agricultural commodities, are a significant research focus, aiming to improve prediction accuracy and understand underlying drivers. Current research employs diverse methodologies, including machine learning (e.g., graph neural networks, normalizing flows, and transformer models), Bayesian methods, and multimodal approaches integrating social media sentiment and on-chain data. These advancements offer improved forecasting of extreme price events, potentially enhancing risk management in finance and optimizing decision-making across various sectors, from agriculture to ride-sharing.