This paper analyzes whether the application of a “circuit breaker” to a financial market (i.e. a mechanism that interrupts trading for a predetermined period when the price moves beyond a predetermined level) reaches its intended goals of increased market stability and overall welfare. Our...

We study consequences of regulatory interventions in limit order markets that aim at stabilizing the market after an occurrence of a “flash crash”. We use a simulation platform that creates random arrivals of trade orders, that allows us to analyze subtle theoretical features of liquidity...

We show that a two-harmonic log-periodic formula fits the high-frequency data from the Dow Jones Industrial Average index, which encompass the recent episode known as the “flash crash†of May 6, 2010.

In Andersen and Bondarenko (2014), using tick data for S&P 500 futures, we establish that the VPIN metric of Easley, López de Prado, and O'Hara (ELO), by construction, will be correlated with trading volume and return volatility (innovations). Whether VPIN is more strongly correlated with...

Andersen and Bondarenko's paper “VPIN and the Flash Crash” is essentially a comment on our 2011 Journal of Portfolio Management paper using our measure of order toxicity, VPIN. Andersen and Bondarenko dispute our empirical findings and argue that VPIN essentially does not work. This is...

The Volume-Synchronized Probability of Informed trading (VPIN) metric is introduced by Easley, López de Prado, and O'Hara (2011a) as a real-time indicator of order flow toxicity. They find the measure useful in monitoring order flow imbalances and conclude it may help signal impending market...

In Andersen and Bondarenko (2014), using tick data for S&P 500 futures, we establish that the VPIN metric of Easley, Lopez de Prado, and O'Hara (ELO), by construction, will be correlated with trading volume and return volatility (innovations). Whether VPIN is more strongly correlated with volume...

Why not set up some public-service robot traders to counteract the behavior of traders when it snowballs into extreme moves? I show a blueprint of how this can be accomplished taking advantage of the theory of complex systems.

We carry out a statistical physics analysis of the flash crash of May 6, 2010 using data from the Dow Jones Industrial Average index sampled at a one-minute frequency from September 1, 2009 to May 31, 2010. We evaluate the hypothesis of a non-Gaussian Levy-stable distribution to model the data...

Purpose The purpose of this paper is to assess the US Securities and Exchange Commission’s new regulation, Limit Up–Limit Down (LULD), against the background of manipulative high-frequency trading (HFT). Design/methodology/approach This paper examines the background of HFT and related...