We use the introduction of a fi nancial transaction tax (FTT) in France in 2012 to test competing theories on its impact. We find no support for the idea that an FTT improves market quality by a ffecting the composition of trading volume. Instead, our results are in line with the hypothesis that...

We examine the role of algorithmic traders as arbitrageurs and their impact on price efficiency in the interdealer foreign exchange market. Algorithmic traders do not improve price efficiency by detecting and exploiting mis-priced currency pairs. To the contrary, algorithmic traders contribute...

Latency delays — known as “speed bumps” — slow the execution of orders at an exchange, often to protect market makers against latency arbitrage. We study informed trading in a fragmented market, where one exchange introduces a latency delay on market orders. While liquidity improves at...

We study the consequences of high-frequency trading (HFT) — and potential policy responses — via the tradeoff between liquidity and information production. Faster speeds facilitate HFT with consequences for this tradeoff: information production diminishes because informed traders have less...

We study the effect of algorithmic trading (AT) on market quality between 2001 and 2011 in 42 equity markets around the world. We use exchange co-location service that increases AT as an exogenous instrument to draw causal inferences of AT on market quality. On average, AT improves liquidity and...

Listed companies and institutional investors have called on market regulators to introduce mechanisms to curb high-frequency (HF) trading in financial markets. In this paper we suggest relative tick size is one such mechanism. We investigate for a non-fragmented market two HF trading proxies:...

This paper will give a brief overview of the work of introducing machine learning intelligence in the Kineta e-markets system, to facilitate auto-hedging, smart price engine algorithms and proprietary automatic positioning within the foreign exchange market. In this paper we will give a brief...

In this thesis, problems in the realm of high frequency trading and optimal market making are established and solved in both single asset and multiple asset economies. For an agent that is averse to holding large inventories for long periods of time, optimal high frequency trading strategies are...

Using the adoption of the Arrowhead trading platform in January 2010 as an exogenous event, we investigate the effects of algorithmic trading on stock market liquidity and commonality in liquidity under different market conditions on the Tokyo Stock Exchange. After controlling for endogeneity,...

Using data from the NYSE Euronext Paris, with a specific identifier for electronic market- making activity, I examine the role of designated liquidity providers played by high-frequency traders (HFTs) as introduced by the forthcoming MiFID II regulation. I find that HFTs do provide liquidity to...