Ainslie Yuen

TL;DR: The 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.

TL;DR: In this article, the authors analyzed times between consecutive transactions for a diverse group of stocks registered on the NYSE and NASDAQ markets, and compared the dynamical properties of the intertrade times with those of the corresponding price fluctuations.

TL;DR: In this article, the authors analyzed the times between consecutive transactions (ITT) for both the NASDAQ and the NYSE stock markets and found that the higher the ITT for NASDAQ stocks, the higher correlations in absolute price returns and by higher volatility, suggesting that market structure may affect price behavior through information contained in transaction timing.

TL;DR: In this article, the authors analyzed the times between consecutive transactions (ITT) for both the NASDAQ and the NYSE stock markets and found that the higher the ITT for NASDAQ stocks, the higher correlations in absolute price returns and by higher volatility, suggesting that market structure may affect price behavior through information contained in transaction timing.

TL;DR: In this article, the authors analyzed the sequence of time intervals between consecutive stock trades of five large companies representing different sectors of the US economy over a period of four years and found that the series of intertrade times exhibit common statistical features.