The pitfalls of continuous heavy-tailed distributions in high-frequency data analysis.

Описание: Continuous heavy-tailed distributions are widely used in high-frequency data analysis to model extreme events and volatility. Although they offer realism and flexibility, they suffer from instability, estimation challenges, infinite moments, and sensitivity to noise. Effective use requires cautious modeling, robust statistical techniques, and critical interpretation to avoid misleading conclusions.

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