Detrended fluctuation analysis of intertrade durations

TL;DR

This study analyzes the intraday patterns, long memory, and multifractal properties of intertrade durations in Chinese stocks, revealing persistent long-range correlations and multifractality unaffected by intraday variations.

Contribution

It applies detrended fluctuation analysis and multifractal analysis to intertrade durations, uncovering long memory and multifractality in high-frequency stock data.

Findings

Inverse U-shaped intraday pattern observed

Long memory confirmed in both regimes

Multifractal nature of intertrade durations verified

Abstract

The intraday pattern, long memory, and multifractal nature of the intertrade durations, which are defined as the waiting times between two consecutive transactions, are investigated based upon the limit order book data and order flows of 23 liquid Chinese stocks listed on the Shenzhen Stock Exchange in 2003. An inverse $U$-shaped intraday pattern in the intertrade durations with an abrupt drop in the first minute of the afternoon trading is observed. Based on the detrended fluctuation analysis, we find a crossover of power-law scaling behaviors for small box sizes (trade numbers in boxes) and large box sizes and strong evidence in favor of long memory in both regimes. In addition, the multifractal nature of intertrade durations in both regimes is confirmed by a multifractal detrended fluctuation analysis for individual stocks with a few exceptions in the small-duration regime. The intraday pattern has little influence on the long memory and multifractaility.