We use a novel machine learning approach to tackle the problem of limit order management. Applying our framework to data, we show that the most important variable for a trader to consider is the price level of their order, followed by the queue sizes of the order book, volatility and finally...

We investigate competition between traditional stock exchanges and new ‘dark' trading venues using an important difference in regulatory treatment. SEC required minimum pricing increments constrain some stock spreads, causing large limit order queues. Dark pools allow some traders to by-pass...

We investigate the effects of introducing a fee on excessive order to trade ratios (OTR) on market quality at the Oslo Stock Exchange (OSE). We find that traders reacted to the regulation, as measured OTRs fell. However, market quality, measured with depth, spreads, and realized volatility,...