Common Scaling Patterns in Intertrade Times of U. S. Stocks

TL;DR

This study reveals universal scaling patterns in intertrade times across diverse U.S. stocks, showing consistent statistical properties, correlations, and nonlinear features that suggest common underlying trading mechanisms influencing price formation.

Contribution

It demonstrates that intertrade times follow a universal Weibull distribution and exhibit long-range correlations, indicating shared dynamics across different companies and sectors.

Findings

Intertrade times fit Weibull distribution universally.

Rescaled probability densities collapse onto a single curve.

Intertrade times show long-range power-law correlations.

Abstract

We analyze the sequence of time intervals between consecutive stock trades of thirty companies representing eight sectors of the U. S. economy over a period of four years. For all companies we find that: (i) the probability density function of intertrade times may be fit by a Weibull distribution; (ii) when appropriately rescaled the probability densities of all companies collapse onto a single curve implying a universal functional form; (iii) the intertrade times exhibit power-law correlated behavior within a trading day and a consistently greater degree of correlation over larger time scales, in agreement with the correlation behavior of the absolute price returns for the corresponding company, and (iv) the magnitude series of intertrade time increments is characterized by long-range power-law correlations suggesting the presence of nonlinear features in the trading dynamics, while the sign series is anti-correlated at small scales. Our results suggest that independent of industry sector, market capitalization and average level of trading activity, the series of intertrade times exhibit possibly universal scaling patterns, which may relate to a common mechanism underlying the trading dynamics of diverse companies. Further, our observation of long-range power-law correlations and a parallel with the crossover in the scaling of absolute price returns for each individual stock, support the hypothesis that the dynamics of transaction times may play a role in the process of price formation.