High-Frequency Return Distribution

High-frequency return distribution refers to the statistical analysis of asset price returns calculated over very short time intervals, such as seconds or milliseconds. These distributions often exhibit "fat tails" or excess kurtosis, meaning that extreme price movements occur more frequently than they would in a normal distribution.

In crypto markets, this is particularly pronounced due to the 24/7 nature of trading and the impact of automated market makers. Understanding these distributions is critical for high-frequency trading and risk management.

It helps traders and exchanges account for the probability of extreme events and calibrate their systems to handle them. Standard models often underestimate the risk of these fat tails, leading to potential failures.

By analyzing the true distribution of high-frequency returns, market participants can build more robust strategies and risk controls. It is a deep dive into the microstructure of price discovery.